# Mindket > Ready-to-run AI skills, agents and automations. Mindket is a marketplace for prompt skills, AI agents, automations, kits of ready-made files, MCP servers and companion characters that people made and sell for credits. - Every listing shows its kind, version, sales, a preview and buyers’ reviews, and may show what its seller says it was tested with, what it saves (the seller’s own measure, not checked) and what changed in each version. Only buyers can review. - Independent: not affiliated with or endorsed by Anthropic, OpenAI or Google. ## How to find, get and sell - Find: search the [Store](https://mindket.com/browse) or open a category, then narrow it by kind, price (free or paid) and what it was tested with. - Get or buy: open a listing and press Get it (free) or Buy. You sign in with a Mindket account, and a paid listing is paid once in credits (1,000 credits cost $5.00). Mindket’s own Playbooks and Toolkits are paid once by card, through Stripe, and a sale is final once you open what you bought; credits also pay for its AI chat. A skill, agent, automation or character is yours there to read and copy: a skill or character into any AI chat, an agent into a browser agent, an automation into the automation tool you use. A kit downloads as a zip of its files, and an n8n workflow is copied or downloaded as JSON for n8n. An MCP server is free, and its page shows the line that adds it to Claude Code and the JSON that Claude Desktop, Cursor and other apps read. - Sell: sign in with a Mindket account, open [Sell](https://mindket.com/sell), write what you made (a skill, character or agent) or pick a kit's folder, and set a price, free or up to 20,000 credits. An MCP server lists free. The seller keeps 80% of each sale, paid into credits after 7 days. ## Pages - [Home](https://mindket.com/) - [Store](https://mindket.com/browse): search, kind, category, price and tested-with filters, sorting - [AI token cost calculator](https://mindket.com/calculator): what a month of AI costs at list prices on models from OpenAI, Anthropic, Google, xAI, DeepSeek, Kimi, MiniMax and more (text, research, pictures, video, voice and transcription), what a budget makes on each model (sessions, reports, pictures, seconds of video, minutes of speech), generation counted with the tries, takes and clip lengths it really takes, what prompt caching, shorter answers and a cheaper model each save, and every model side by side with its price, context window and output per dollar - [Skills in demand](https://mindket.com/skills-in-demand): the share of Hacker News “Who is hiring?” job posts that name each skill (AI, LLMs, AI agents, languages, frameworks, cloud, remote work), month by month for 13 months, and the yearly pay in US dollars the posts name, by skill, with the data as CSV (https://mindket.com/skills-in-demand.csv) - [AI deadlines calendar](https://mindket.com/deadlines): what ends soon in AI, each with its date and source: model deprecation dates from LiteLLM's price file, deal posts that close and introductory API prices that end; the same list as an .ics file (https://mindket.com/deadlines.ics) - [AI API prices](https://mindket.com/prices): what each AI API charges per million tokens read, written and read from the cache (OpenAI, Anthropic, Google Gemini, xAI, DeepSeek, Mistral, Kimi, Qwen, GLM, Doubao, MiniMax), every price change with its day and old price, introductory prices that end and models that retire, from LiteLLM's price file (MIT), with the data as CSV (https://mindket.com/prices.csv) - [Free AI API tiers and credits](https://mindket.com/free-ai-api): what each AI model API gives for free today (free tiers with their limits, credits for new accounts, deals still running), each read on the provider's own page with the day it was checked - [Free n8n workflow checker](https://mindket.com/n8n-workflow-checker): paste an n8n workflow's JSON and read its steps, how it starts, its AI steps, what it signs in to, the community packages it needs and the API keys it finds left in the file (it can miss a key written another way), with a cleaned copy; free, no account, nothing pasted is kept - [Sell](https://mindket.com/sell) - [Plans](https://mindket.com/plans): Free, Builder and Founder, what each costs, its monthly credits, which products it opens in each group (Essentials, Toolkits, Playbooks), and what happens to your products if you cancel - [Products](https://mindket.com/products): Mindket’s own products in one list, each with its kind (Toolkit or Playbook), a one-line pitch, its price and the plan that opens it - [Claude Token Freedom Handbook](https://mindket.com/offer/claude-token-playbook): A step-by-step member area for Claude Code in VS Code on a Claude Pro or Max plan, plus the playbook's ten files. - [Get Found in AI Search Toolkit](https://mindket.com/offer/claude-ai-search-toolkit): Six skills Claude Cowork runs to help ChatGPT, Claude, Perplexity and Google's AI answers find your business and name it, with dated sources. - [Job Search with Claude Toolkit](https://mindket.com/offer/claude-job-search-toolkit): Seven skills Claude Cowork runs for your job search: it finds roles that fit, tailors a true CV to each, fills the forms up to your Submit and tracks every application. - [Make Money with Claude Playbook](https://mindket.com/offer/claude-money-playbook): Six ways people earn with Claude, each set up step by step with a skill you copy into Claude, the real costs and dated sources. - [Make Money on YouTube with Claude Playbook](https://mindket.com/offer/claude-youtube-playbook): Nine skills Claude Cowork runs for your YouTube channel: it finds what wins in your niche, plans and makes original videos with AI, fills the upload up to your Publish and tracks your progress to each level. - [Weekly Index](https://mindket.com/weekly): one issue a week, counted by a job from what Mindket keeps: new listings by kind, the biggest GitHub star gains, new releases and the most talked about products (RSS: https://mindket.com/weekly.xml) - [Rising](https://mindket.com/rising): GitHub projects and Hugging Face models ranked by what they gained in 7 days (stars, places on GitHub's daily trending page, likes), from Mindket's own daily reads, with a 30-day line each (tabs: ?tab=trending, ?tab=hf) - [GitHub trending archive](https://mindket.com/trending): GitHub's daily trending list as Mindket read it, a page a week (/trending/2026-W46) and a month (/trending/2026-11): each repository's days on the list, best place and stars - [Every listing's description](https://mindket.com/llms-full.txt): the long version of this file ## For AI agents - Markdown twins: every listing is Markdown at its address with .md (https://mindket.com/p/.md), or at its address asked for Accept: text/markdown - [sitemap.md](https://mindket.com/sitemap.md): every kind of page, the kinds and categories, and up to 500 listings, in Markdown - [feed.xml](https://mindket.com/feed.xml): the newest listings, RSS 2.0 ## Blog - [Higgsfield's free 3-day trial in Claude: the conditions, how to claim it and what it makes](https://mindket.com/blog/higgsfield-free-trial): Claim Higgsfield's free 72-hour MCP trial in Claude chat: the conditions, the steps, and samples from X with what each job costs and how long it takes. Markdown: https://mindket.com/blog/higgsfield-free-trial.md - [Claude Fable 5.2 on your plan: what you get and how to claim it](https://mindket.com/blog/claude-fable-5-2): Pro plans get Claude Fable 5.2 at no extra cost until 16 November, Max and Ultra get free resets. Conditions, how to claim, and builds on X with time and cost. Markdown: https://mindket.com/blog/claude-fable-5-2.md - [Higgsfield MCP in Claude: is it free, and is the 10-agent reel real?](https://mindket.com/blog/higgsfield-mcp-claude): Higgsfield MCP isn't free: it needs a paid plan and spends credits. The server URL, how to connect it to Claude, what a clip costs, and the 10-agent reel. Markdown: https://mindket.com/blog/higgsfield-mcp-claude.md - [ChatGPT Work, cloud vs desktop: what it can operate and what each plan allows](https://mindket.com/blog/chatgpt-work-computer-use): What ChatGPT Work does now that agent mode and Atlas are gone: the cloud computer against Computer Use on your desktop, and what each plan allows. Markdown: https://mindket.com/blog/chatgpt-work-computer-use.md - [Claude computer use starter guide: turn it on, give it a job, keep it safe](https://mindket.com/blog/claude-computer-use): How to turn on Claude computer use in the desktop app, what a Mac asks you to allow, which apps it will not touch and the first jobs worth giving it. Markdown: https://mindket.com/blog/claude-computer-use.md - [Computer use agents compared: Claude Cowork, ChatGPT Work, Gemini, Copilot and the rest](https://mindket.com/blog/computer-use-agents-compared): Claude Cowork, ChatGPT Work, Gemini Spark, Copilot, Perplexity, Manus and OpenClaw: what each agent can operate, what the plans cost and which is worth it. Markdown: https://mindket.com/blog/computer-use-agents-compared.md - [Make money with computer use agents: paid work for an agent that clicks and types](https://mindket.com/blog/how-to-make-money-with-computer-use-agents): Seven jobs a screen agent can take, what buyers pay people for them today, where you step in, and the site rules and plan limits that can end it. Markdown: https://mindket.com/blog/how-to-make-money-with-computer-use-agents.md - [How to make money with Grok Bot, and agents like it](https://mindket.com/blog/how-to-make-money-with-grok-bot): Six Grok Bot use cases that can pay, which posts show receipts, a first paid job step by step, and what it costs since 1 November. Markdown: https://mindket.com/blog/how-to-make-money-with-grok-bot.md - [Cat Wu leaves Claude Code for OpenAI: what changes for Claude Code and Codex users](https://mindket.com/blog/cat-wu-joins-openai): Cat Wu, Claude Code's head of product, left Anthropic on 30 October and is joining OpenAI's Core Products. What changes for Claude Code and Codex users. Markdown: https://mindket.com/blog/cat-wu-joins-openai.md - [The free YouTube agent skill for Claude, and the Facebook reel that pitched it](https://mindket.com/blog/claude-youtube-agent-skill): Claude didn't kill YouTube. A free MIT pack of eleven Claude skills drafts your scripts, titles, edit lists and replies. How to install it, and its limits. Markdown: https://mindket.com/blog/claude-youtube-agent-skill.md - [Kimi K3.1 Pro local deployment: K3 ran at 0.1 tokens a second off a 1 TB drive](https://mindket.com/blog/kimi-k3-1-pro-local-deployment): Kimi K3.1 Pro local deployment, tested: a 1 TB drive ran the same-size Kimi K3 at one token every 10 seconds. What worked instead, and how to set it up. Markdown: https://mindket.com/blog/kimi-k3-1-pro-local-deployment.md - [Claude Max 20x is now Ultra: how to use its monthly API credits](https://mindket.com/blog/claude-ultra-api-credits): Claude Max 20x is now Ultra, with two hundred dollars of API credits a month. What the credits cover, how to claim them and how far they go. Markdown: https://mindket.com/blog/claude-ultra-api-credits.md - [OpenAI's Codex credits for students: who can claim 2,500 free credits?](https://mindket.com/blog/codex-credits-for-students): OpenAI gives verified US and Canadian university students 2,500 free Codex credits. Who qualifies, the catches, and how to claim them step by step. Markdown: https://mindket.com/blog/codex-credits-for-students.md - [Dreamina's 98% off first month: is Seedance video almost free?](https://mindket.com/blog/dreamina-98-off-first-month): Dreamina takes 98% off the first month of its Basic monthly plan, ending 6 November 2026. What it covers, the renewal catch and how to claim it. Markdown: https://mindket.com/blog/dreamina-98-off-first-month.md - [Google AI Pro free for students: who gets the free year?](https://mindket.com/blog/google-ai-pro-free-for-students): Eligible US college students get Google AI Pro free for a year, and students elsewhere get Google AI Plus. Who qualifies, the renewal catch and how to claim. Markdown: https://mindket.com/blog/google-ai-pro-free-for-students.md - [Manus's 1,000 free credits: do you have to comment to get them?](https://mindket.com/blog/manus-free-credits-video-editor): Every new Manus account gets 1,000 free credits, no comment or code needed. What they pay for, Manus 2.0 Video Editor, and Cantonese captions. Markdown: https://mindket.com/blog/manus-free-credits-video-editor.md - [What are Codex skills? How to install and use them](https://mindket.com/blog/codex-skills): A Codex skill is a folder with a SKILL.md file. How to install one with the skill installer, where Codex looks, how to use skills and how to write your own. Markdown: https://mindket.com/blog/codex-skills.md - [What are Cursor rules? How to write them](https://mindket.com/blog/cursor-rules): Cursor rules are saved instructions for Agent. See the four ways a rule applies, how to write an .mdc file in .cursor/rules, and how AGENTS.md compares. Markdown: https://mindket.com/blog/cursor-rules.md - [Higgsfield's 7-day unlimited video bonus: is it free for new users?](https://mindket.com/blog/higgsfield-7-day-unlimited): Higgsfield's 7-day unlimited bonus makes 20-second Seedance 2.5 videos with no credits, but it comes with paid plans. Who gets it, the limits and the steps. Markdown: https://mindket.com/blog/higgsfield-7-day-unlimited.md - [What are OpenClaw skills? How to install and use them](https://mindket.com/blog/openclaw-skills): An OpenClaw skill is a folder with a SKILL.md file. How to install one from ClawHub, where OpenClaw looks, how to write your own and what to check first. Markdown: https://mindket.com/blog/openclaw-skills.md - [Are MCP servers safe? What to check before installing one (or a skill)](https://mindket.com/blog/are-mcp-servers-safe): A local MCP server runs code with your permissions. A short check before you install one or an Agent Skill, from the MCP spec and the Claude Code docs. Markdown: https://mindket.com/blog/are-mcp-servers-safe.md - [How to make money with LLMs, and who has posted the numbers](https://mindket.com/blog/how-to-make-money-with-llms): Four ways people earn with large language models, founders' revenue posts with dates and links, the AI rules of YouTube and Amazon, and the FTC's scam cases. Markdown: https://mindket.com/blog/how-to-make-money-with-llms.md - [How to sell AI agents and workflows, and what sellers say they earn](https://mindket.com/blog/how-to-sell-ai-agents-and-workflows): Where AI agents, n8n workflows, prompts and MCP servers sell today, what each marketplace keeps, and what sellers who posted their numbers report. Markdown: https://mindket.com/blog/how-to-sell-ai-agents-and-workflows.md - [How to start an AI automation agency, and what its owners report](https://mindket.com/blog/how-to-start-an-ai-automation-agency): How to start an AI automation agency: what clients pay for, where first clients come from, what partner programs ask, pricing and your first 90 days. Markdown: https://mindket.com/blog/how-to-start-an-ai-automation-agency.md - [What are Agent Skills?](https://mindket.com/blog/what-are-agent-skills): Agent Skills are folders with a SKILL.md file that teach a coding agent one task. How they load, what goes in the file, and how they differ from MCP. Markdown: https://mindket.com/blog/what-are-agent-skills.md - [What are Claude Code plugins and plugin marketplaces?](https://mindket.com/blog/claude-code-plugins): Claude Code plugins bundle skills, agents, hooks and MCP servers into one install. See the plugin layout, the /plugin commands and how marketplaces work. Markdown: https://mindket.com/blog/claude-code-plugins.md - [What are Claude Code subagents, and how do you make one?](https://mindket.com/blog/claude-code-subagents): Claude Code subagents are helpers with their own context window, prompt and tools. See how to write an agent file, where it goes and when Claude uses it. Markdown: https://mindket.com/blog/claude-code-subagents.md - [How to create an Agent Skill: write your first SKILL.md](https://mindket.com/blog/how-to-create-agent-skill): Create an Agent Skill step by step: the folder, SKILL.md frontmatter rules, scripts and references, where Claude Code finds it, trigger tests and sharing. Markdown: https://mindket.com/blog/how-to-create-agent-skill.md - [How to import an n8n workflow from JSON](https://mindket.com/blog/import-n8n-workflow): Import an n8n workflow from a JSON file, a URL or the clipboard, then add your own credentials, check each node and publish it. Steps from n8n's docs. Markdown: https://mindket.com/blog/import-n8n-workflow.md - [What goes in a CLAUDE.md file?](https://mindket.com/blog/claude-md-file): A CLAUDE.md file holds the standing instructions Claude Code reads every session. See where the files live, what to put in, what to cut, and a short sample. Markdown: https://mindket.com/blog/claude-md-file.md - [How to add an MCP server to Claude Code](https://mindket.com/blog/add-mcp-server-claude-code): Add an MCP server to Claude Code with claude mcp add: the remote and local commands, the three scopes, and what claude mcp list prints when one fails. Markdown: https://mindket.com/blog/add-mcp-server-claude-code.md - [What is a token in AI, and how do models count them?](https://mindket.com/blog/what-are-tokens-in-ai): A token is the unit an AI model reads and writes. See how tokens differ from words, what counts as input and output, and how to count them before you send. Markdown: https://mindket.com/blog/what-are-tokens-in-ai.md - [What is n8n? Workflows, nodes and self-hosting explained](https://mindket.com/blog/what-is-n8n): n8n is a fair-code workflow automation tool. See how its workflows, nodes, triggers, credentials and AI agent nodes work, and how Cloud and self-hosting differ. Markdown: https://mindket.com/blog/what-is-n8n.md - [What is MCP (Model Context Protocol)?](https://mindket.com/blog/what-is-mcp): MCP (Model Context Protocol) is an open standard that connects AI apps to tools and data. What an MCP server is, who uses it and how its messages travel. Markdown: https://mindket.com/blog/what-is-mcp.md - [Blog feed](https://mindket.com/blog/feed.xml): every post, RSS 2.0; each post is Markdown at its address with .md, in English and in Chinese ## Learn - [Learn AI, one skill at a time.](https://mindket.com/learn): Mindket Learn is a set of free AI courses for beginners and for builders. Its hands-on lessons cover AI assistants, writing, design, video and voice, Claude Code, open models, MCP, the Claude and OpenAI APIs, RAG, AI security, n8n and Dify. Steps and code come from the vendors' own docs. Every lesson is in English and Chinese, ends with a short quiz and needs no sign-up. - [AI basics course for beginners](https://mindket.com/learn/ai-basics): A free AI basics course for beginners: four lessons on how large language models work, which AI to choose, AI hallucinations and AI privacy. No code. - [Lesson 1: How do large language models work, in plain words?](https://mindket.com/learn/ai-basics/how-llms-work): How large language models work in plain words, shown with real Claude replies: next-token prediction, why answers vary and what a model can't know. Markdown: https://mindket.com/learn/ai-basics/how-llms-work.md - [Lesson 2: Which AI model should I use for my task?](https://mindket.com/learn/ai-basics/choose-an-ai-model): Which AI model should I use? Pick the assistant by your task and where your files live, then a fast or deep-thinking model, and test two on your own work. Markdown: https://mindket.com/learn/ai-basics/choose-an-ai-model.md - [Lesson 3: AI hallucinations: why chatbots make things up and how to check](https://mindket.com/learn/ai-basics/ai-hallucinations): AI hallucinations are fluent answers that are false. See why models make things up, five steps to check an answer and how much checking each task needs. Markdown: https://mindket.com/learn/ai-basics/ai-hallucinations.md - [Lesson 4: Is it safe to use AI chatbots with personal data? What the apps keep](https://mindket.com/learn/ai-basics/ai-privacy): Is it safe to use AI chatbots with personal data? See what the big apps say they keep, how to turn off training, and what never to paste into a chat. Markdown: https://mindket.com/learn/ai-basics/ai-privacy.md - [Learn with AI: study modes, tutors and flashcards](https://mindket.com/learn/learn-with-ai): A free course on learning with AI: use study modes in ChatGPT, Claude and Gemini, write tutor prompts, make flashcards and quizzes, and practice a language. - [Lesson 1: AI study mode: how ChatGPT, Claude and Gemini teach instead of tell](https://mindket.com/learn/learn-with-ai/ai-study-mode): Study mode in ChatGPT, the Learning style in Claude and Guided Learning in Gemini make an AI ask and hint before it answers. See how each works. Markdown: https://mindket.com/learn/learn-with-ai/ai-study-mode.md - [Lesson 2: AI tutor prompts: make ChatGPT, Claude or Gemini teach you at your level](https://mindket.com/learn/learn-with-ai/ai-tutor-prompts): Copy a tutor prompt from OpenAI Academy, add your level, and any chat app asks you one question at a time and checks what you understood. Markdown: https://mindket.com/learn/learn-with-ai/ai-tutor-prompts.md - [Lesson 3: AI flashcards and quizzes: turn notes into practice, then move them to Anki](https://mindket.com/learn/learn-with-ai/ai-quizzes-flashcards): Turn notes or a PDF into quizzes and flashcards with ChatGPT, NotebookLM or Gemini, then import the cards into Anki with a plain text file. Markdown: https://mindket.com/learn/learn-with-ai/ai-quizzes-flashcards.md - [Lesson 4: Learn a language with AI: practice speaking, get corrected and know what it gets wrong](https://mindket.com/learn/learn-with-ai/learn-a-language-with-ai): Practice a language with AI by voice and text: set up a conversation partner, ask for one correction at a time, role play, and know what AI gets wrong. Markdown: https://mindket.com/learn/learn-with-ai/learn-a-language-with-ai.md - [Spot AI fakes: images, deepfakes and voice scams](https://mindket.com/learn/spot-ai-fakes): A free course on AI fakes: check a suspicious image, handle a deepfake call, read Content Credentials and SynthID, and avoid AI scams. - [Lesson 1: How to tell if an image is AI-generated: five checks and their limits](https://mindket.com/learn/spot-ai-fakes/spot-ai-images): How to tell if an image is AI-generated: five checks to run today, what a reverse image search finds, and why the old tells such as hands no longer settle it. Markdown: https://mindket.com/learn/spot-ai-fakes/spot-ai-images.md - [Lesson 2: How to spot a deepfake: video, cloned voices and the family code word](https://mindket.com/learn/spot-ai-fakes/spot-deepfakes): How to spot a deepfake video or a cloned voice: why eyes and ears fail, the call-back and code word checks that still work, and what detector tests found. Markdown: https://mindket.com/learn/spot-ai-fakes/spot-deepfakes.md - [Lesson 3: Content Credentials (C2PA) and SynthID watermarks: how to check them and what they prove](https://mindket.com/learn/spot-ai-fakes/content-credentials): Content Credentials and SynthID watermarks explained: how to read them with Verify, c2patool and the SynthID Detector, and why a missing mark proves nothing. Markdown: https://mindket.com/learn/spot-ai-fakes/content-credentials.md - [Lesson 4: AI scams: how criminals use AI and how to protect yourself](https://mindket.com/learn/spot-ai-fakes/ai-scams): How criminals use AI in scams, from polished recruiter messages to fake AI apps, and five checks that work however convincing the message looks. Markdown: https://mindket.com/learn/spot-ai-fakes/ai-scams.md - [Prompt engineering course for beginners](https://mindket.com/learn/prompt-engineering): A free prompt engineering course for beginners: four lessons on prompting basics, system prompts, context windows and AI agents, from vendor guides. - [Lesson 1: Prompt engineering basics: how to write prompts that work](https://mindket.com/learn/prompt-engineering/prompt-engineering-basics): Prompt engineering basics in one lesson: be specific, add context, show examples, ask for a format and iterate. Drawn from Anthropic, OpenAI and Google guides. Markdown: https://mindket.com/learn/prompt-engineering/prompt-engineering-basics.md - [Lesson 2: How to write a system prompt, with a worked example](https://mindket.com/learn/prompt-engineering/system-prompt): A system prompt sets standing rules for a whole AI conversation. Learn to write one in four parts, where each vendor puts it and what it cannot do. Markdown: https://mindket.com/learn/prompt-engineering/system-prompt.md - [Lesson 3: What is a context window? What fills it and what to do when it is full](https://mindket.com/learn/prompt-engineering/context-window): A context window is the text a model can use at one time. See what fills it, how big current windows are, what happens when it is full and how to work in it. Markdown: https://mindket.com/learn/prompt-engineering/context-window.md - [Lesson 4: What is an AI agent? How it differs from a chatbot and a workflow](https://mindket.com/learn/prompt-engineering/what-is-an-ai-agent): An AI agent is a model that picks its own next step and calls tools in a loop. See how it differs from a chatbot and a fixed workflow, and when to build one. Markdown: https://mindket.com/learn/prompt-engineering/what-is-an-ai-agent.md - [Which AI tool to use: a free guide for images, video, voice, music, research and agents](https://mindket.com/learn/ai-tools): A free beginner guide to picking AI tools by job: image, video, voice, music, research and agent platforms compared on price, free plans and limits. - [Lesson 1: Best AI image generator in 2026: which one to use for each job](https://mindket.com/learn/ai-tools/best-ai-image-generator): Which AI image generator to use: ChatGPT, Gemini, Adobe Firefly, Ideogram, FLUX, Canva and Recraft compared on free plans, prices, limits and rights. Markdown: https://mindket.com/learn/ai-tools/best-ai-image-generator.md - [Lesson 2: Best AI video generator in 2026: which one to use for each job](https://mindket.com/learn/ai-tools/best-ai-video-generator): Which AI video generator to use: Google Veo and Gemini Omni, Runway, Kling, Luma, Pika, Hailuo, Seedance and Wan compared on free plans, prices and limits. Markdown: https://mindket.com/learn/ai-tools/best-ai-video-generator.md - [Lesson 3: Best AI voice generator in 2026: text to speech, transcription, cloning and live voice compared](https://mindket.com/learn/ai-tools/best-ai-voice-generator): Pick an AI voice tool by job: text to speech, transcription, voice cloning and live voice, with free plans, prices, limits and consent rules compared. Markdown: https://mindket.com/learn/ai-tools/best-ai-voice-generator.md - [Lesson 4: Best AI music generator in 2026: songs, music beds, sound effects and audio cleanup compared](https://mindket.com/learn/ai-tools/best-ai-music-generator): Pick an AI music tool by job: songs with vocals, background music, sound effects or cleaning up a recording, with free plans, prices and publishing rights. Markdown: https://mindket.com/learn/ai-tools/best-ai-music-generator.md - [Lesson 5: Best AI for research in 2026: deep research tools, paper search and notebooks compared](https://mindket.com/learn/ai-tools/best-ai-for-research): Compare ChatGPT, Gemini, Claude, Perplexity, Gemini Notebook, Microsoft Researcher and Elicit for research: free plans, prices, limits and what each reads. Markdown: https://mindket.com/learn/ai-tools/best-ai-for-research.md - [Lesson 6: Best AI agent builder in 2026: ready-made agents, no-code builders and SDKs compared](https://mindket.com/learn/ai-tools/best-ai-agent-builder): Compare ready-made AI agents and agent builders: ChatGPT Work, Claude Cowork, Gemini, Manus, n8n, Zapier, Make, Copilot Studio and SDKs on price and limits. Markdown: https://mindket.com/learn/ai-tools/best-ai-agent-builder.md - [AI at work: a free course for beginners](https://mindket.com/learn/ai-for-work): A free AI course for office workers: write emails, research topics, summarize documents and analyze spreadsheets with ChatGPT, Claude, Gemini or Copilot. - [Lesson 1: How to write emails with AI: prompts that work](https://mindket.com/learn/ai-for-work/write-emails-with-ai): Learn how to write emails with AI: give the reader, the goal and the tone, ask for a draft, change it one step at a time and check every fact before you send. Markdown: https://mindket.com/learn/ai-for-work/write-emails-with-ai.md - [Lesson 2: How to use AI for research and check what it finds](https://mindket.com/learn/ai-for-work/research-with-ai): Learn how to use AI for research: choose web search or a research mode, ask for sources, open every link and check each claim before you rely on a report. Markdown: https://mindket.com/learn/ai-for-work/research-with-ai.md - [Lesson 3: How to summarize a PDF with AI and check the summary](https://mindket.com/learn/ai-for-work/summarize-documents-with-ai): Learn how to summarize a PDF with AI: upload the file, say who it is for, ask for quotes and page numbers, then check the result against the page. Markdown: https://mindket.com/learn/ai-for-work/summarize-documents-with-ai.md - [Lesson 4: How to analyze Excel data with AI and check the numbers](https://mindket.com/learn/ai-for-work/analyze-spreadsheets-with-ai): Learn how to analyze Excel data with AI: tidy the table, ask questions in plain words, make a chart and check the numbers with a formula before you share them. Markdown: https://mindket.com/learn/ai-for-work/analyze-spreadsheets-with-ai.md - [AI assistants: a free course on ChatGPT, Claude, NotebookLM and Gemini](https://mindket.com/learn/ai-assistants): A free beginner course on AI assistants: use ChatGPT, Claude Projects, NotebookLM and Gemini for everyday work, with the menus from each help center. - [Lesson 1: How to use ChatGPT: chats, instructions, memory and Projects](https://mindket.com/learn/ai-assistants/chatgpt-tutorial): Learn how to use ChatGPT for everyday work: run a first chat, set custom instructions, manage memory, keep work in Projects and attach files and images. Markdown: https://mindket.com/learn/ai-assistants/chatgpt-tutorial.md - [Lesson 2: How to use Claude Projects, with artifacts and memory](https://mindket.com/learn/ai-assistants/claude-projects): Learn how to use Claude Projects: add knowledge files, set project instructions, export artifacts and control what Claude remembers between chats. Markdown: https://mindket.com/learn/ai-assistants/claude-projects.md - [Lesson 3: NotebookLM tutorial: sources, cited answers and overviews in Gemini Notebook](https://mindket.com/learn/ai-assistants/notebooklm-tutorial): A NotebookLM tutorial for beginners: add sources, ask questions with clickable citations, and make Audio Overviews, Video Overviews and mind maps. Markdown: https://mindket.com/learn/ai-assistants/notebooklm-tutorial.md - [Lesson 4: How to use Google Gemini: the app, Gems and skills, Gmail and Docs](https://mindket.com/learn/ai-assistants/gemini-tutorial): Learn how to use Google Gemini: chat at gemini.google.com, save instructions as a Gem or a skill, and use Ask Gemini inside Gmail and Google Docs. Markdown: https://mindket.com/learn/ai-assistants/gemini-tutorial.md - [Write with AI: drafts, edits and text that sounds like you](https://mindket.com/learn/ai-writing): A free course on writing with AI: draft from your own notes, edit without losing your voice, spot the signs of AI writing and see what AI detectors can show. - [Lesson 1: How to draft with AI from your own notes and a writing sample](https://mindket.com/learn/ai-writing/draft-with-ai): Learn how to draft with AI: start from your own notes and a writing sample, agree an outline, write one section at a time and check every fact yourself. Markdown: https://mindket.com/learn/ai-writing/draft-with-ai.md - [Lesson 2: How to edit with AI without losing your voice](https://mindket.com/learn/ai-writing/edit-with-ai): Learn how to edit your writing with AI: name what to keep, ask for specific changes, get edits as suggestions you accept or reject, then shorten or change tone. Markdown: https://mindket.com/learn/ai-writing/edit-with-ai.md - [Lesson 3: Signs of AI writing: what readers notice and how to fix each one](https://mindket.com/learn/ai-writing/signs-of-ai-writing): Learn the signs of AI writing that editors notice, from stock words to puffed-up significance, and how to fix each one in your own text with a plain fact. Markdown: https://mindket.com/learn/ai-writing/signs-of-ai-writing.md - [Lesson 4: Do AI detectors work? False positives, watermarks and what to do instead](https://mindket.com/learn/ai-writing/ai-detectors): Do AI detectors work? See what OpenAI's withdrawn classifier, a Stanford study and a benchmark of 12 detectors found, and what watermarks can and cannot do. Markdown: https://mindket.com/learn/ai-writing/ai-detectors.md - [AI connectors: link ChatGPT and Claude to your apps](https://mindket.com/learn/ai-connectors): A free course on AI connectors: link ChatGPT and Claude to Gmail and Drive, add your own MCP server and check what an app can reach before you connect it. - [Lesson 1: ChatGPT connectors: how to connect Gmail, Drive and your calendar](https://mindket.com/learn/ai-connectors/chatgpt-connectors): Connect ChatGPT to Gmail, Google Drive and Google Calendar: where Plugins is, how @ calls an app, what each app can read and what OpenAI calls them. Markdown: https://mindket.com/learn/ai-connectors/chatgpt-connectors.md - [Lesson 2: Claude connectors: connect Gmail, Google Drive and desktop extensions](https://mindket.com/learn/ai-connectors/claude-connectors): Connect Claude to Gmail and Google Drive from the connectors menu, set when it needs your approval, and learn what desktop extensions and the directory add. Markdown: https://mindket.com/learn/ai-connectors/claude-connectors.md - [Lesson 3: Custom connectors: add your own MCP server to ChatGPT and Claude](https://mindket.com/learn/ai-connectors/custom-connectors): Add a custom connector to ChatGPT and Claude: enter an MCP server's address, test it, fix a failed connection and know which servers will not fit. Markdown: https://mindket.com/learn/ai-connectors/custom-connectors.md - [Lesson 4: Are AI connectors safe? What to check before you connect an app](https://mindket.com/learn/ai-connectors/connector-safety): Before you link Gmail or Drive to ChatGPT or Claude, check scopes, review and approvals, and see how hidden instructions in email can steer an AI. Markdown: https://mindket.com/learn/ai-connectors/connector-safety.md - [AI images and video: a free course for beginners](https://mindket.com/learn/ai-images-video): A free course on AI images and video: write image prompts, edit photos with Nano Banana and ChatGPT, make clips in Gemini and Flow, and try ComfyUI. - [Lesson 1: AI image prompts: how to get the picture you meant](https://mindket.com/learn/ai-images-video/ai-image-prompts): AI image prompts that work: say what the picture is for, name the subject, setting, style, framing and light, quote any words, then refine one change at a time. Markdown: https://mindket.com/learn/ai-images-video/ai-image-prompts.md - [Lesson 2: Nano Banana and ChatGPT: edit images with AI](https://mindket.com/learn/ai-images-video/edit-images-with-ai): What Nano Banana is and how to edit images with AI in Gemini and ChatGPT: change one part of a photo, combine pictures and keep faces and logos intact. Markdown: https://mindket.com/learn/ai-images-video/edit-images-with-ai.md - [Lesson 3: How to make AI videos with Gemini and Google Flow](https://mindket.com/learn/ai-images-video/make-ai-video): How to make AI videos with Gemini Omni and Google Flow: describe one shot, set the camera and the sound, start from your own photo and know the clip lengths. Markdown: https://mindket.com/learn/ai-images-video/make-ai-video.md - [Lesson 4: ComfyUI tutorial: install Comfy Desktop and make your first image](https://mindket.com/learn/ai-images-video/comfyui-tutorial): A ComfyUI tutorial for beginners: install Comfy Desktop, open the text-to-image workflow, download its model, make a first image and learn the nodes. Markdown: https://mindket.com/learn/ai-images-video/comfyui-tutorial.md - [Design with AI: logos, social graphics and mockups](https://mindket.com/learn/ai-design): A free AI design course for beginners: make a logo, get readable text into images, keep one brand look across social graphics and build product and app mockups. - [Lesson 1: How to make a logo with AI: a prompt, an SVG and a trademark check](https://mindket.com/learn/ai-design/ai-logo-design): Make a logo with an AI image model: a prompt for flat, simple shapes and a transparent background, an SVG that scales, and what to check before you use it. Markdown: https://mindket.com/learn/ai-design/ai-logo-design.md - [Lesson 2: Text in AI images: which models spell well and the prompts that help](https://mindket.com/learn/ai-design/text-in-ai-images): Get readable text in AI images: quote the exact words, say where they go, and pick GPT Image, Gemini, Qwen-Image or Ideogram for your language and layout. Markdown: https://mindket.com/learn/ai-design/text-in-ai-images.md - [Lesson 3: AI social media graphics: sizes, a brand look and one image in many shapes](https://mindket.com/learn/ai-design/ai-social-graphics): Make social posts, thumbnails and banners with AI: pick the aspect ratio first, keep a brand look with a reusable brief and references, then reshape one image. Markdown: https://mindket.com/learn/ai-design/ai-social-graphics.md - [Lesson 4: AI mockups: put a product or an app screen into a scene](https://mindket.com/learn/ai-design/ai-mockups): Make product and app screen mockups with AI: cut a product out, put it in a scene with exact words, combine photos and check each label before you share. Markdown: https://mindket.com/learn/ai-design/ai-mockups.md - [AI video: Sora, Veo, video prompts and open models](https://mindket.com/learn/ai-video): A free AI video course in four lessons: what ended with Sora, a first Veo clip, how to write a video prompt, and how to run open models like Wan2.2 yourself. - [Lesson 1: Sora tutorial: what ended, and the prompting that still works](https://mindket.com/learn/ai-video/sora-tutorial): Sora's API shut down on September 24, 2026. Keep what still works: OpenAI's shot template, its settings and where each idea lives now. Markdown: https://mindket.com/learn/ai-video/sora-tutorial.md - [Lesson 2: Veo tutorial: make an AI video with the Gemini API](https://mindket.com/learn/ai-video/veo-tutorial): A Veo tutorial for the Gemini API: install the SDK, make a first clip, set a start and end frame, add reference images, extend the clip and meet Gemini Omni. Markdown: https://mindket.com/learn/ai-video/veo-tutorial.md - [Lesson 3: AI video prompts: how to write a shot, add sound and keep a character the same](https://mindket.com/learn/ai-video/ai-video-prompts): How to write AI video prompts that work: one shot, one action, a camera, light, sound, timing and a character who stays the same, from the vendors' own guides. Markdown: https://mindket.com/learn/ai-video/ai-video-prompts.md - [Lesson 4: Open AI video models: run Wan, LTX, HunyuanVideo or CogVideoX on your own computer](https://mindket.com/learn/ai-video/open-video-models): Run open AI video models on your own computer: Wan2.2, LTX-2.5, HunyuanVideo-1.5 and CogVideoX, with the memory, license and first command each project states. Markdown: https://mindket.com/learn/ai-video/open-video-models.md - [AI voice and music: speech, voice cloning and songs](https://mindket.com/learn/ai-voice-music): A free AI audio course for beginners: text to speech, voice cloning with consent, making a song and dubbing a video, with each model's license spelled out. - [Lesson 1: Text to speech with AI: make a voice that sounds natural](https://mindket.com/learn/ai-voice-music/text-to-speech): Make AI speech from text with OpenAI's speech endpoint or Kokoro on your own computer, and direct tone, pace, accent and pronunciation. Markdown: https://mindket.com/learn/ai-voice-music/text-to-speech.md - [Lesson 2: Voice cloning with AI: how it works, what consent means and which models to use](https://mindket.com/learn/ai-voice-music/voice-cloning): How AI voice cloning works: describe a voice, clone one from a clip with OpenAI or open models, and what consent, licenses and watermarks require. Markdown: https://mindket.com/learn/ai-voice-music/voice-cloning.md - [Lesson 3: How to make an AI song: describe it, write the lyrics and know the rules](https://mindket.com/learn/ai-voice-music/ai-music): How to make an AI song: write a style caption and tagged lyrics, edit a finished track, compare open models by license, and read the Suno and Udio timeline. Markdown: https://mindket.com/learn/ai-voice-music/ai-music.md - [Lesson 4: How to dub a video with AI: transcribe, translate, speak and sync the lips](https://mindket.com/learn/ai-voice-music/ai-dubbing): How to dub a video with AI: transcribe the speech, translate it, speak it in another language, sync the lips and check each step for mistakes. Markdown: https://mindket.com/learn/ai-voice-music/ai-dubbing.md - [Vibe coding: a free course for beginners](https://mindket.com/learn/vibe-coding): A free vibe coding course for beginners: build and publish an app by describing it, with Lovable, Cursor and GitHub Copilot, and check what the AI made. - [Lesson 1: What is vibe coding? Describe it, run it, check it](https://mindket.com/learn/vibe-coding/what-is-vibe-coding): Vibe coding is building software by describing it to an AI and judging what runs, not the code. The loop, the term's origin, the risks and the tools. Markdown: https://mindket.com/learn/vibe-coding/what-is-vibe-coding.md - [Lesson 2: Lovable tutorial: build and publish your first app](https://mindket.com/learn/vibe-coding/build-app-with-lovable): A Lovable tutorial for beginners: write the first prompt, change the app by chat or by pointing, see the code, add a backend and publish it to a live link. Markdown: https://mindket.com/learn/vibe-coding/build-app-with-lovable.md - [Lesson 3: Cursor AI tutorial: from install to your first reviewed change](https://mindket.com/learn/vibe-coding/cursor-tutorial): A Cursor AI tutorial for beginners: install the editor, open a folder, ask Agent for one change, read the diff, roll back a checkpoint and add a rule. Markdown: https://mindket.com/learn/vibe-coding/cursor-tutorial.md - [Lesson 4: GitHub Copilot agent mode: build in VS Code, then hand work to the cloud](https://mindket.com/learn/vibe-coding/github-copilot-agent-mode): Use GitHub Copilot agent mode in VS Code to build a small app from one prompt, review each edit, then hand an issue to the cloud agent for a pull request. Markdown: https://mindket.com/learn/vibe-coding/github-copilot-agent-mode.md - [Claude Code course for beginners](https://mindket.com/learn/claude-code): A free Claude Code tutorial for beginners in four lessons: install it, plan before it edits, use and write slash commands, and add hooks, all from the docs. - [Lesson 1: How to install Claude Code and run your first session](https://mindket.com/learn/claude-code/install-claude-code): Install Claude Code on macOS, Windows or Linux, check the version, log in and run your first session, with the official commands and fixes for common errors. Markdown: https://mindket.com/learn/claude-code/install-claude-code.md - [Lesson 2: Claude Code plan mode: how to ask for a plan before any edit](https://mindket.com/learn/claude-code/claude-code-plan-mode): Claude Code plan mode makes Claude read your code and write a plan before it edits anything. Learn Shift+Tab, /plan, the approval choices and permission modes. Markdown: https://mindket.com/learn/claude-code/claude-code-plan-mode.md - [Lesson 3: Claude Code slash commands: the built-in ones and how to write your own](https://mindket.com/learn/claude-code/claude-code-slash-commands): Learn the Claude Code slash commands worth knowing, then write a custom command as a skill: where the file goes, arguments, who can run it and how to reload it. Markdown: https://mindket.com/learn/claude-code/claude-code-slash-commands.md - [Lesson 4: Claude Code hooks: how to set up your first hook, step by step](https://mindket.com/learn/claude-code/claude-code-hooks): Claude Code hooks run your own commands at set points in a session. Add a notification hook, check it with /hooks, then learn matchers, exit codes and blocking. Markdown: https://mindket.com/learn/claude-code/claude-code-hooks.md - [Agent Skills course: write, test and install SKILL.md skills](https://mindket.com/learn/agent-skills): A free four-lesson Agent Skills course: write a description that triggers, split a skill into scripts and references, test it, then install it in Claude Code. - [Lesson 1: Skill description: write the name and description so your skill loads](https://mindket.com/learn/agent-skills/skill-description): Write a skill description that agents act on: what the skill does, when to use it, and how to fix a skill that never triggers in Claude Code. Markdown: https://mindket.com/learn/agent-skills/skill-description.md - [Lesson 2: Skill scripts and references: keep SKILL.md short with progressive disclosure](https://mindket.com/learn/agent-skills/skill-scripts-and-references): Split a skill into SKILL.md, references, scripts and assets so the agent loads only what a task needs. Covers the layout, size limits and script design. Markdown: https://mindket.com/learn/agent-skills/skill-scripts-and-references.md - [Lesson 3: Test a Claude skill: trigger checks, evals and a no-skill baseline](https://mindket.com/learn/agent-skills/test-an-agent-skill): Test an agent skill two ways: trigger checks that show whether it loads, and evals that compare its output with and without the skill. Claude Code steps. Markdown: https://mindket.com/learn/agent-skills/test-an-agent-skill.md - [Lesson 4: Install Agent Skills in Claude Code, Codex and other agents](https://mindket.com/learn/agent-skills/install-agent-skills): Install an Agent Skill in Claude Code, Codex, Cursor, Gemini CLI or VS Code: the personal and project folders each reads, and plugins to share a skill. Markdown: https://mindket.com/learn/agent-skills/install-agent-skills.md - [Claude Code advanced course](https://mindket.com/learn/claude-code-advanced): A free advanced Claude Code course in four lessons: settings.json permissions, headless mode, GitHub Actions and the Agent SDK, taken from the official docs. - [Lesson 1: Claude Code settings.json: scopes, precedence and permission rules](https://mindket.com/learn/claude-code-advanced/claude-code-settings): Claude Code settings.json explained: four scopes, which file wins, deny, ask and allow rules, path anchors and how to share a team file safely. Markdown: https://mindket.com/learn/claude-code-advanced/claude-code-settings.md - [Lesson 2: Claude Code headless mode: run claude -p in scripts and pipelines](https://mindket.com/learn/claude-code-advanced/claude-code-headless): Claude Code headless mode with claude -p: output formats, allowed tools, permission modes, bare mode, session resume and scripting in a shell pipeline. Markdown: https://mindket.com/learn/claude-code-advanced/claude-code-headless.md - [Lesson 3: Claude Code GitHub Actions: set up @claude, workflows, secrets and limits](https://mindket.com/learn/claude-code-advanced/claude-code-github-actions): Set up Claude Code GitHub Actions with /install-github-app, trigger it with @claude, then lock down secrets, permissions, untrusted input and cost. Markdown: https://mindket.com/learn/claude-code-advanced/claude-code-github-actions.md - [Lesson 4: Claude Agent SDK tutorial: build your own agent in TypeScript or Python](https://mindket.com/learn/claude-code-advanced/claude-agent-sdk): A Claude Agent SDK tutorial for TypeScript and Python: install it, run query(), set permissions, add custom tools and MCP servers, and resume sessions. Markdown: https://mindket.com/learn/claude-code-advanced/claude-agent-sdk.md - [Open-weight models: licences, sizes and how to choose one](https://mindket.com/learn/open-weight-models): A free course on open-weight models: what they are, how Apache 2.0, MIT and Llama licenses differ, how to choose one by size and context, and quantization. - [Lesson 1: What are open-weight models? Open weights vs open source](https://mindket.com/learn/open-weight-models/what-are-open-weight-models): What open-weight models are and how open weights differ from open source: inspect a real release on Hugging Face and meet the six model families. Markdown: https://mindket.com/learn/open-weight-models/what-are-open-weight-models.md - [Lesson 2: Open model licenses: what Apache 2.0, MIT, Llama and Mistral let you do](https://mindket.com/learn/open-weight-models/open-model-licenses): Open model licenses explained: what Apache 2.0, MIT, the Llama 4 license and Mistral's license let you do, and how to read one on a model card. Markdown: https://mindket.com/learn/open-weight-models/open-model-licenses.md - [Lesson 3: How to choose an open model for your job and your computer](https://mindket.com/learn/open-weight-models/choose-an-open-model): How to choose an open-weight model: match the job, read total and active parameters, check context length and license, then test two on your own prompts. Markdown: https://mindket.com/learn/open-weight-models/choose-an-open-model.md - [Lesson 4: Quantization explained: what Q4_K_M, GGUF, AWQ and GPTQ mean](https://mindket.com/learn/open-weight-models/quantization-explained): Quantization explained: read a GGUF name like Q4_K_M, see what a 4-bit file costs in accuracy, and compare GGUF, AWQ, GPTQ and bitsandbytes. Markdown: https://mindket.com/learn/open-weight-models/quantization-explained.md - [Local AI course: run AI models on your own computer](https://mindket.com/learn/local-ai): A local AI course in four lessons: install Ollama, call its API from code, run models in LM Studio and work out the memory and VRAM a local LLM needs. - [Lesson 1: Ollama tutorial: run AI models on your own computer](https://mindket.com/learn/local-ai/ollama-tutorial): An Ollama tutorial for Windows, macOS and Linux: install it, download and chat with a first local model, then list, stop and remove models and move their files. Markdown: https://mindket.com/learn/local-ai/ollama-tutorial.md - [Lesson 2: Ollama API: call a local model from your code](https://mindket.com/learn/local-ai/ollama-api): Call a local model from code with the Ollama API: /api/generate and /api/chat with curl and Python, streaming, the OpenAI-compatible endpoint and a Modelfile. Markdown: https://mindket.com/learn/local-ai/ollama-api.md - [Lesson 3: LM Studio tutorial: run local models in a desktop app](https://mindket.com/learn/local-ai/lm-studio-tutorial): An LM Studio tutorial: check your hardware, get a model from the built-in search, chat with it and your files, then run its OpenAI-compatible server and lms. Markdown: https://mindket.com/learn/local-ai/lm-studio-tutorial.md - [Lesson 4: Local LLM hardware requirements: how much VRAM a model needs](https://mindket.com/learn/local-ai/local-llm-hardware): Local LLM hardware requirements, worked out: how parameters and GGUF quantization set a model size, how much VRAM it needs, and what CPU, GPU or a Mac changes. Markdown: https://mindket.com/learn/local-ai/local-llm-hardware.md - [Hugging Face course: find, run and share open models](https://mindket.com/learn/hugging-face): A free Hugging Face course in four lessons: find and download open models, run them with Transformers, call hosted models and share a Gradio demo. - [Lesson 1: Hugging Face tutorial: find, check and download open models](https://mindket.com/learn/hugging-face/hugging-face-hub): A Hugging Face tutorial for Python users: find a model on the Hub, read its card and license, request a gated model and download it with the hf CLI. Markdown: https://mindket.com/learn/hugging-face/hugging-face-hub.md - [Lesson 2: Transformers pipeline: run open models in Python, on CPU or GPU](https://mindket.com/learn/hugging-face/transformers-pipeline): A Transformers pipeline tutorial: install it, classify and generate text, chat with an instruction model, and choose a device and dtype that fit your memory. Markdown: https://mindket.com/learn/hugging-face/transformers-pipeline.md - [Lesson 3: Hugging Face Inference API: call hosted open models with Inference Providers](https://mindket.com/learn/hugging-face/hugging-face-inference-providers): Call hosted open models through Inference Providers, the successor to the Hugging Face Inference API: a token, InferenceClient, the OpenAI client and curl. Markdown: https://mindket.com/learn/hugging-face/hugging-face-inference-providers.md - [Lesson 4: Hugging Face Spaces and Gradio tutorial: build a demo and host it](https://mindket.com/learn/hugging-face/gradio-spaces): A Gradio tutorial for Hugging Face Spaces: build a demo with gr.Interface, run it locally, then host it on a Space with its requirements, secrets and ZeroGPU. Markdown: https://mindket.com/learn/hugging-face/gradio-spaces.md - [Fine-tuning: train an open model on your own data](https://mindket.com/learn/fine-tuning): Learn fine-tuning in four free lessons: decide if you need it, build a dataset, train a LoRA adapter with TRL, then run the model in Ollama. - [Lesson 1: When to fine-tune an LLM: prompting, RAG or training?](https://mindket.com/learn/fine-tuning/when-to-fine-tune): Fine-tuning changes how a model behaves, not what it knows. Sort your failures into context or behavior problems, then pick prompting, RAG or fine-tuning. Markdown: https://mindket.com/learn/fine-tuning/when-to-fine-tune.md - [Lesson 2: Fine-tuning dataset: build, check and split your training data](https://mindket.com/learn/fine-tuning/fine-tuning-dataset): Build a fine-tuning dataset: the JSONL chat format, how many examples to start with, a script that checks the file and a held-out test set. Markdown: https://mindket.com/learn/fine-tuning/fine-tuning-dataset.md - [Lesson 3: LoRA fine-tuning: train an adapter with TRL and PEFT](https://mindket.com/learn/fine-tuning/lora-fine-tuning): Fine-tune an open model with LoRA: a TRL and PEFT training script, what each setting does, QLoRA for a model that does not fit, and Unsloth. Markdown: https://mindket.com/learn/fine-tuning/lora-fine-tuning.md - [Lesson 4: Run a fine-tuned model: score it, merge it and import it into Ollama](https://mindket.com/learn/fine-tuning/run-a-fine-tuned-model): Run your fine-tuned model: score the LoRA adapter against the base model, merge it, then import it into Ollama as a folder or a quantized GGUF file. Markdown: https://mindket.com/learn/fine-tuning/run-a-fine-tuned-model.md - [MCP course: build, test and connect MCP servers](https://mindket.com/learn/mcp): Learn MCP in four free lessons: build an MCP server in Python or TypeScript, test it with MCP Inspector, then connect it to Claude Desktop, Cursor and VS Code. - [Lesson 1: Build an MCP server in Python with the official SDK](https://mindket.com/learn/mcp/build-mcp-server-python): Build a Python MCP server with the official SDK: install it with uv, write two tools, run it over stdio, then check it in MCP Inspector and Claude Desktop. Markdown: https://mindket.com/learn/mcp/build-mcp-server-python.md - [Lesson 2: Build an MCP server in TypeScript with the official SDK](https://mindket.com/learn/mcp/build-mcp-server-typescript): Build a TypeScript MCP server with the official SDK: set up the project, register a tool with a Zod schema, serve it over stdio and call it from the Inspector. Markdown: https://mindket.com/learn/mcp/build-mcp-server-typescript.md - [Lesson 3: MCP Inspector: test and debug an MCP server](https://mindket.com/learn/mcp/mcp-inspector): Learn MCP Inspector: launch it on a local or remote server, call tools in the browser, read the protocol log and run the same checks from the command line. Markdown: https://mindket.com/learn/mcp/mcp-inspector.md - [Lesson 4: Connect an MCP server to Claude Desktop, Cursor and VS Code](https://mindket.com/learn/mcp/connect-mcp-servers): Connect an MCP server to Claude Desktop, Cursor and VS Code: each app's config file, its JSON format, how to reload it and where to look when nothing shows up. Markdown: https://mindket.com/learn/mcp/connect-mcp-servers.md - [Claude API course: build an AI agent from scratch](https://mindket.com/learn/claude-api): A Claude API course for developers in four lessons: your first Messages API call, tool use, prompt caching and an AI agent loop you write from scratch. - [Lesson 1: Claude API tutorial: your first call in Python and TypeScript](https://mindket.com/learn/claude-api/claude-api-quickstart): A Claude API tutorial for developers: get a key, install the SDK, make your first Messages API call in Python and TypeScript, stream it and read usage. Markdown: https://mindket.com/learn/claude-api/claude-api-quickstart.md - [Lesson 2: Claude tool use: define tools and handle tool calls in Python](https://mindket.com/learn/claude-api/claude-tool-use): Claude tool use for developers: define tools with JSON Schema, run the tool_use and tool_result round trip, set tool_choice and report tool errors. Markdown: https://mindket.com/learn/claude-api/claude-tool-use.md - [Lesson 3: Claude prompt caching: add cache_control and read the usage fields](https://mindket.com/learn/claude-api/claude-prompt-caching): Claude prompt caching for developers: place cache_control breakpoints, check the minimum length per model, read usage and find out why a cache missed. Markdown: https://mindket.com/learn/claude-api/claude-prompt-caching.md - [Lesson 4: Build an AI agent with the Claude API from scratch](https://mindket.com/learn/claude-api/build-ai-agent-claude-api): Build an AI agent with the Claude API from scratch: write the tool loop, cap the turns, report errors and plan for context growth in Python. Markdown: https://mindket.com/learn/claude-api/build-ai-agent-claude-api.md - [OpenAI API course: Responses, tools, structured output and agents](https://mindket.com/learn/openai-api): An OpenAI API course for developers in four lessons: the Responses API, function calling, Structured Outputs and an agent built with the OpenAI Agents SDK. - [Lesson 1: OpenAI API tutorial: the Responses API in Python and JavaScript](https://mindket.com/learn/openai-api/openai-api-quickstart): An OpenAI API tutorial for developers: get a key, install the SDK, call the Responses API in Python and JavaScript, stream it and keep conversation state. Markdown: https://mindket.com/learn/openai-api/openai-api-quickstart.md - [Lesson 2: OpenAI function calling: let the model call your code](https://mindket.com/learn/openai-api/openai-function-calling): OpenAI function calling step by step: describe a function in JSON Schema, turn on strict mode, run the tool-call loop and add web search or file search. Markdown: https://mindket.com/learn/openai-api/openai-function-calling.md - [Lesson 3: OpenAI Structured Outputs: JSON that matches your schema](https://mindket.com/learn/openai-api/openai-structured-outputs): OpenAI Structured Outputs in the Responses API: pass a JSON Schema in text.format, parse replies with Pydantic or Zod, and handle refusals and schema limits. Markdown: https://mindket.com/learn/openai-api/openai-structured-outputs.md - [Lesson 4: OpenAI Agents SDK: build your first agent in Python](https://mindket.com/learn/openai-api/openai-agents-sdk): An OpenAI Agents SDK tutorial: define an Agent, run it with Runner, add function tools, hand off to specialists, add guardrails, keep sessions and read traces. Markdown: https://mindket.com/learn/openai-api/openai-agents-sdk.md - [RAG course: build retrieval-augmented generation](https://mindket.com/learn/rag): A free RAG course for developers in four lessons: build a pipeline with citations, learn embeddings and pgvector, chunk documents well and evaluate with Ragas. - [Lesson 1: RAG tutorial: build a retrieval pipeline step by step](https://mindket.com/learn/rag/rag-tutorial): A RAG tutorial for developers: split documents, embed them with Voyage AI, retrieve by similarity and have Claude answer with citations. Markdown: https://mindket.com/learn/rag/rag-tutorial.md - [Lesson 2: What are embeddings? Models, dimensions and pgvector for developers](https://mindket.com/learn/rag/embeddings-explained): What are embeddings and how do you use them? Pick a model and a dimension, compare vectors with cosine similarity and store them in Postgres. Markdown: https://mindket.com/learn/rag/embeddings-explained.md - [Lesson 3: RAG chunking strategies: chunk size, overlap, contextual retrieval and hybrid search](https://mindket.com/learn/rag/rag-chunking): RAG chunking strategies for developers: choose a chunk size and overlap, split by structure, add context to each chunk and combine BM25 with vectors. Markdown: https://mindket.com/learn/rag/rag-chunking.md - [Lesson 4: How to evaluate RAG: retrieval metrics, faithfulness and a small test set](https://mindket.com/learn/rag/evaluate-rag): How to evaluate RAG: build a small test set, measure retrieval with context recall and precision, and score answers for faithfulness with Ragas. Markdown: https://mindket.com/learn/rag/evaluate-rag.md - [Advanced prompt engineering: examples, reasoning, chains and templates](https://mindket.com/learn/prompt-engineering-advanced): A free advanced prompt engineering course in four lessons: few-shot examples, chain of thought, prompt chaining and reusable prompt templates. - [Lesson 1: Few-shot prompting: how many examples, in what format and order](https://mindket.com/learn/prompt-engineering-advanced/few-shot-prompting): Few-shot prompting with worked examples: how many to add, how to format and order them in XML tags, what models copy, and when zero-shot is enough. Markdown: https://mindket.com/learn/prompt-engineering-advanced/few-shot-prompting.md - [Lesson 2: Chain of thought prompting: when to ask for steps and when to set the effort](https://mindket.com/learn/prompt-engineering-advanced/chain-of-thought-prompting): Chain of thought prompting explained: when asking a model for its steps helps, why reasoning models skip it, and how to set the effort on OpenAI and Claude. Markdown: https://mindket.com/learn/prompt-engineering-advanced/chain-of-thought-prompting.md - [Lesson 3: Prompt chaining: split a big task into prompts that pass results along](https://mindket.com/learn/prompt-engineering-advanced/prompt-chaining): Prompt chaining splits one task into prompts that hand their output along. Run a four-step chain, add gates between steps and see when a chain wins. Markdown: https://mindket.com/learn/prompt-engineering-advanced/prompt-chaining.md - [Lesson 4: Prompt templates: a fixed part, named variables and a home in version control](https://mindket.com/learn/prompt-engineering-advanced/prompt-templates): Prompt templates split a prompt into fixed instructions and named variables. Fill one safely, order it for prompt caching and keep it under version control. Markdown: https://mindket.com/learn/prompt-engineering-advanced/prompt-templates.md - [Reasoning models: when to use them and how to prompt them](https://mindket.com/learn/reasoning-models): Free course on reasoning models: how they think before they answer, how to prompt them, how to set effort on OpenAI, Claude and Gemini, and where they pay off. - [Lesson 1: What are reasoning models? AI that thinks before it answers](https://mindket.com/learn/reasoning-models/what-are-reasoning-models): A reasoning model writes hidden thinking tokens before it answers. See how OpenAI, Claude, Gemini and DeepSeek-R1 do it, and read the token count yourself. Markdown: https://mindket.com/learn/reasoning-models/what-are-reasoning-models.md - [Lesson 2: How to prompt reasoning models: write the goal and leave out the steps](https://mindket.com/learn/reasoning-models/prompt-reasoning-models): How to prompt reasoning models such as GPT-5, Claude and DeepSeek-R1: state the goal, limits and output format, drop step-by-step cues and fix clashing rules. Markdown: https://mindket.com/learn/reasoning-models/prompt-reasoning-models.md - [Lesson 3: Reasoning effort and thinking budgets: how to set them and what they cost](https://mindket.com/learn/reasoning-models/reasoning-effort): Set reasoning effort on OpenAI, Claude and Gemini: the parameters, token caps that prevent empty replies, what each level costs in tokens and how to pick one. Markdown: https://mindket.com/learn/reasoning-models/reasoning-effort.md - [Lesson 4: When to use a reasoning model: which tasks gain and which do not](https://mindket.com/learn/reasoning-models/when-to-use-reasoning-models): Which tasks gain from a reasoning model and which do not: OpenAI's planner and workhorse advice, DeepSeek's own scores and research on overthinking. Markdown: https://mindket.com/learn/reasoning-models/when-to-use-reasoning-models.md - [Prompt optimization: let AI write, improve and test your prompts](https://mindket.com/learn/prompt-optimization): A free prompt optimization course in four lessons: generate a first prompt with AI, improve it, test the versions on a small test set and tune it with DSPy. - [Lesson 1: AI prompt generator: let a model write your first prompt](https://mindket.com/learn/prompt-optimization/ai-prompt-generator): An AI prompt generator writes a first prompt from your task. Run Anthropic's metaprompt or OpenAI's Generate meta-prompt, then check what it wrote. Markdown: https://mindket.com/learn/prompt-optimization/ai-prompt-generator.md - [Lesson 2: How to improve a prompt with AI: OpenAI's optimizer and Anthropic's improver](https://mindket.com/learn/prompt-optimization/improve-a-prompt): How to improve a prompt with AI: OpenAI's prompt optimizer and Anthropic's prompt improver, what changed in OpenAI's own example, and what to check. Markdown: https://mindket.com/learn/prompt-optimization/improve-a-prompt.md - [Lesson 3: How to test prompts: compare versions on a small test set before you switch](https://mindket.com/learn/prompt-optimization/test-prompts): How to test prompts: build a small test set, run two prompt versions on it in a spreadsheet, Anthropic's Console or promptfoo, then read the results. Markdown: https://mindket.com/learn/prompt-optimization/test-prompts.md - [Lesson 4: DSPy tutorial: let code and a metric optimize your prompts](https://mindket.com/learn/prompt-optimization/dspy-tutorial): A DSPy tutorial for beginners: write a signature, pick a module, define a metric and let an optimizer such as MIPROv2 improve your prompt for you. Markdown: https://mindket.com/learn/prompt-optimization/dspy-tutorial.md - [Context engineering: give an AI agent the right context at each step](https://mindket.com/learn/context-engineering): A free context engineering course in four lessons: what an agent should see, why long context rots, how agents remember and how to load context just in time. - [Lesson 1: What is context engineering? Everything an AI agent sees on each call](https://mindket.com/learn/context-engineering/what-is-context-engineering): Context engineering decides what an AI agent sees on each call: instructions, tools, history, files and tool results. Follow one value through Python code. Markdown: https://mindket.com/learn/context-engineering/what-is-context-engineering.md - [Lesson 2: Context rot: why long context makes AI answers worse](https://mindket.com/learn/context-engineering/context-rot): Context rot is the drop in accuracy as a model's input grows. See what the studies measured, run a needle test on your own model and learn what to cut. Markdown: https://mindket.com/learn/context-engineering/context-rot.md - [Lesson 3: AI agent memory: compaction, tool-result clearing and a memory tool](https://mindket.com/learn/context-engineering/agent-memory): AI agent memory for long tasks: when to compact the conversation, when to clear old tool results and when the agent should keep notes with a memory tool. Markdown: https://mindket.com/learn/context-engineering/agent-memory.md - [Lesson 4: Just-in-time context: load files, tools and results when a step needs them](https://mindket.com/learn/context-engineering/just-in-time-context): Just-in-time context for AI agents: keep file paths and queries instead of contents, and load files, tools and results only when a step needs them. Markdown: https://mindket.com/learn/context-engineering/just-in-time-context.md - [Harness engineering: build the code around an AI agent](https://mindket.com/learn/harness-engineering): A free harness engineering course in four lessons: what an agent harness is, how to write tools for agents, agents that run for hours and their guardrails. - [Lesson 1: What is an agent harness? The loop, tools and checks around a model](https://mindket.com/learn/harness-engineering/what-is-an-agent-harness): An agent harness is the code around a model: its loop, tools, context, permissions and checks. See what Codex and the SDKs put in one, with a Python sketch. Markdown: https://mindket.com/learn/harness-engineering/what-is-an-agent-harness.md - [Lesson 2: Tools for AI agents: names, descriptions and results a model uses well](https://mindket.com/learn/harness-engineering/tools-for-ai-agents): A model knows your tools only by their names, descriptions and results. How to shape, name, describe and size tools for AI agents, and test each change. Markdown: https://mindket.com/learn/harness-engineering/tools-for-ai-agents.md - [Lesson 3: Long-running agents: keep one task going across many sessions](https://mindket.com/learn/harness-engineering/long-running-agents): Keep an AI agent on one task for hours: an initializer session, a feature list, a progress file, git, end-to-end checks and a loop that restarts it. Markdown: https://mindket.com/learn/harness-engineering/long-running-agents.md - [Lesson 4: AI agent guardrails: sandboxes, permission rules and hooks](https://mindket.com/learn/harness-engineering/agent-guardrails): Limit what an AI agent can do: a sandbox for files and network, permission rules, hooks that check each tool call and approvals for risky actions. Markdown: https://mindket.com/learn/harness-engineering/agent-guardrails.md - [AI security: prompt injection, jailbreaks and red teaming](https://mindket.com/learn/ai-security): A free AI security course in four lessons: prompt injection, jailbreaks and system prompt leaks, the OWASP Top 10 for LLM apps and red teaming your own app. - [Lesson 1: Prompt injection: direct and indirect attacks, and designs that limit the damage](https://mindket.com/learn/ai-security/prompt-injection): Prompt injection hides instructions in text an AI reads. See direct and indirect attacks, why no filter stops them and the designs that limit the damage. Markdown: https://mindket.com/learn/ai-security/prompt-injection.md - [Lesson 2: LLM jailbreaks and system prompt leaks: what they are and what stops them](https://mindket.com/learn/ai-security/llm-jailbreaks): A jailbreak attacks a model's safety rules, an injection attacks your app and a leak exposes hidden prompts. See how each works and what to defend. Markdown: https://mindket.com/learn/ai-security/llm-jailbreaks.md - [Lesson 3: The OWASP Top 10 for LLM applications: each risk in one line, with a first fix](https://mindket.com/learn/ai-security/owasp-llm-top-10): The OWASP Top 10 for LLM applications, 2026 edition: each of the ten risks in one plain line with a first fix, and how to use the list as a checklist. Markdown: https://mindket.com/learn/ai-security/owasp-llm-top-10.md - [Lesson 4: Red team your own LLM app: Promptfoo, garak and PyRIT, what to test and how to read the results](https://mindket.com/learn/ai-security/red-team-llm-app): Attack your own LLM app before someone else does. Set up Promptfoo, see garak and PyRIT commands, pick what to test and read the results. Markdown: https://mindket.com/learn/ai-security/red-team-llm-app.md - [AI evals: measure whether your LLM app and agent work](https://mindket.com/learn/ai-evals): A free AI evals course in four lessons: build an eval set from real failures, grade with an LLM judge, evaluate agents and run evals in CI on every change. - [Lesson 1: What are LLM evals? A first test set from real failures](https://mindket.com/learn/ai-evals/what-are-llm-evals): What LLM evals are and how to start one: read real traces, turn the failures into a first test set and grade each check with code or a model. Markdown: https://mindket.com/learn/ai-evals/what-are-llm-evals.md - [Lesson 2: LLM as a judge: a pass/fail judge prompt you check against people](https://mindket.com/learn/ai-evals/llm-as-a-judge): How to use an LLM as a judge: write a pass/fail judge prompt, measure how often it agrees with people and design around position and length bias. Markdown: https://mindket.com/learn/ai-evals/llm-as-a-judge.md - [Lesson 3: How to evaluate AI agents: end states, trials and traces](https://mindket.com/learn/ai-evals/evaluate-ai-agents): How to evaluate AI agents: tasks with an end state code can check, several trials scored as pass@k or pass^k, trace grading and reading transcripts. Markdown: https://mindket.com/learn/ai-evals/evaluate-ai-agents.md - [Lesson 4: Evals in CI: run LLM evals on every pull request with GitHub Actions](https://mindket.com/learn/ai-evals/evals-in-ci): Run LLM evals in CI on every pull request: a promptfoo config in your repo, its GitHub Action, a pass-rate gate, repeats for flaky graders and a cache. Markdown: https://mindket.com/learn/ai-evals/evals-in-ci.md - [n8n course for beginners](https://mindket.com/learn/n8n): A free n8n course for beginners in four lessons: build your first workflow, start one from a webhook, build an AI agent and self-host n8n with Docker. - [Lesson 1: n8n tutorial for beginners: build your first workflow](https://mindket.com/learn/n8n/n8n-first-workflow): An n8n tutorial for beginners: build a first workflow with a schedule trigger, an HTTP Request, an Edit Fields node and a data table, then test and publish it. Markdown: https://mindket.com/learn/n8n/n8n-first-workflow.md - [Lesson 2: n8n webhook: how the Webhook node and its test and production URLs work](https://mindket.com/learn/n8n/n8n-webhook): How the n8n Webhook node works: build a POST webhook, call its test URL with curl, publish it, then use the production URL and return a response. Markdown: https://mindket.com/learn/n8n/n8n-webhook.md - [Lesson 3: n8n AI agent: build one with the AI Agent node, memory and tools](https://mindket.com/learn/n8n/n8n-ai-agent): Build an n8n AI agent step by step: a Chat Trigger, the AI Agent node, an OpenAI chat model, Simple Memory and two tools, then read how it runs. Markdown: https://mindket.com/learn/n8n/n8n-ai-agent.md - [Lesson 4: Self-host n8n with Docker: setup, data volume and updates](https://mindket.com/learn/n8n/self-host-n8n-docker): Self-host n8n with Docker: run the n8nio/n8n image, keep your data on a volume, set the timezone and webhook URL, then back up and update without losing work. Markdown: https://mindket.com/learn/n8n/self-host-n8n-docker.md - [n8n advanced course](https://mindket.com/learn/n8n-advanced): A free n8n advanced course in four lessons: error workflows, sub-workflows, the Code node and queue mode with Redis and workers, for people who know the basics. - [Lesson 1: n8n error workflow: the Error Trigger, retries and Stop And Error](https://mindket.com/learn/n8n-advanced/n8n-error-handling): Build an n8n error workflow with the Error Trigger, read the data it receives, then set retries, On Error and Stop And Error on the nodes that fail. Markdown: https://mindket.com/learn/n8n-advanced/n8n-error-handling.md - [Lesson 2: n8n sub-workflow: the Execute Sub-workflow node and its trigger](https://mindket.com/learn/n8n-advanced/n8n-sub-workflows): Build an n8n sub-workflow with the Execute Sub-workflow Trigger, pass data in and out, convert existing nodes and learn when to split a workflow. Markdown: https://mindket.com/learn/n8n-advanced/n8n-sub-workflows.md - [Lesson 3: n8n Code node: JavaScript, Python, item modes and common errors](https://mindket.com/learn/n8n-advanced/n8n-code-node): Learn the n8n Code node: Run Once for All Items against Each Item, $input and the return shape, native Python, item linking, limits and common errors. Markdown: https://mindket.com/learn/n8n-advanced/n8n-code-node.md - [Lesson 4: n8n queue mode: Redis, workers, concurrency and scaling](https://mindket.com/learn/n8n-advanced/n8n-queue-mode): Run n8n in queue mode: how main, Redis and workers fit together, the Postgres setup, worker concurrency, binary data rules and webhook processors. Markdown: https://mindket.com/learn/n8n-advanced/n8n-queue-mode.md - [Dify tutorial: build AI apps and workflows without code](https://mindket.com/learn/dify): A free Dify tutorial in four lessons: run Dify on Cloud or Docker, build workflows, add a knowledge base, then build an agent and publish it. - [Lesson 1: Dify tutorial: what it is, how to run it and your first app](https://mindket.com/learn/dify/dify-tutorial): A Dify tutorial for beginners: what Dify is, how to start on Dify Cloud or with Docker Compose, what its licence asks, and a first chatbot. Markdown: https://mindket.com/learn/dify/dify-tutorial.md - [Lesson 2: Dify workflow tutorial: build, run and debug a workflow](https://mindket.com/learn/dify/dify-workflow): A Dify workflow tutorial: Workflow or Chatflow, the main nodes, a content generator built from the docs, running and debugging it, and publishing versions. Markdown: https://mindket.com/learn/dify/dify-workflow.md - [Lesson 3: Dify knowledge base tutorial: chunking, indexing and retrieval](https://mindket.com/learn/dify/dify-knowledge-base): A Dify knowledge base tutorial: upload files, choose chunk mode and index method, set retrieval, test it and connect it to a chatflow. Markdown: https://mindket.com/learn/dify/dify-knowledge-base.md - [Lesson 4: Dify agent tutorial: add tools, publish and call it from code](https://mindket.com/learn/dify/dify-agent): A Dify agent tutorial: write the prompt, add tools and a knowledge base, publish as a web app, embed or MCP server, call the API and read the logs. Markdown: https://mindket.com/learn/dify/dify-agent.md - [Browser agents: AI that clicks, types and browses for you](https://mindket.com/learn/ai-browser-agents): A free five-lesson course on browser agents: ChatGPT agent, the computer use API, prompt injection and Claude Cowork with computer use and skills. - [Lesson 1: What are browser agents? AI that clicks, types and browses for you](https://mindket.com/learn/ai-browser-agents/what-are-browser-agents): A browser agent is an AI that clicks, types and reads pages for you. See five kinds, how each sees a page, and run a first task with browser-use. Markdown: https://mindket.com/learn/ai-browser-agents/what-are-browser-agents.md - [Lesson 2: ChatGPT agent tutorial: write a browser task it can finish](https://mindket.com/learn/ai-browser-agents/chatgpt-agent-tutorial): Write a browser task ChatGPT agent can finish, know when it stops to ask you and check the result, using OpenAI's own system card. Markdown: https://mindket.com/learn/ai-browser-agents/chatgpt-agent-tutorial.md - [Lesson 3: Computer use API: let a model use a browser through your code](https://mindket.com/learn/ai-browser-agents/computer-use-api): Let a model use a browser through your own code: the screenshot, action and result loop, OpenAI's and Anthropic's samples to run, and how to check the result. Markdown: https://mindket.com/learn/ai-browser-agents/computer-use-api.md - [Lesson 4: Browser agent safety: what can go wrong and what to set up](https://mindket.com/learn/ai-browser-agents/browser-agent-safety): Why a web page can take over a browser agent, what OpenAI and Anthropic measured, and the habits and controls that limit the damage. Markdown: https://mindket.com/learn/ai-browser-agents/browser-agent-safety.md - [Lesson 5: Claude Cowork tutorial: let Claude use your computer, guided by your skills](https://mindket.com/learn/ai-browser-agents/claude-cowork-computer-use): Set up Claude Cowork step by step: install the app, add a plugin and a skill, turn on computer use and hand Claude a first task you can check. Markdown: https://mindket.com/learn/ai-browser-agents/claude-cowork-computer-use.md - [How to use AI tools](https://mindket.com/learn/tools): A page per tool: what it is good for, when to pick another, how to use it step by step, an example to try and YouTube tutorials. - [How to use ChatGPT: what it does and how to get started](https://mindket.com/learn/tools/chatgpt): Learn what ChatGPT is, what it does well and how to use it, from signing up to attaching files and keeping work in Projects, with steps and video tutorials. Markdown: https://mindket.com/learn/tools/chatgpt.md - [How to use Claude: what it does and how to get started](https://mindket.com/learn/tools/claude): Learn what Claude is, what it does well and how to use it, from signing up to files, artifacts and Projects, with step-by-step help and video tutorials. Markdown: https://mindket.com/learn/tools/claude.md - [How to use Google Gemini: what it does and how to get started](https://mindket.com/learn/tools/gemini): Learn what Google Gemini is, what it does well and how to use it, from signing in to Gems, skills and Ask Gemini in Gmail, with steps and video tutorials. Markdown: https://mindket.com/learn/tools/gemini.md - [How to use DeepSeek: a beginner guide to the free chatbot and its open models](https://mindket.com/learn/tools/deepseek): How to use DeepSeek: what the free chatbot is, what it is good for, and the steps from a first question to DeepThink, Search and the API. Markdown: https://mindket.com/learn/tools/deepseek.md - [How to use Grok: a beginner's guide to xAI's AI assistant](https://mindket.com/learn/tools/grok): Grok is the AI assistant from xAI. See what it does, when to pick it, how to start step by step, a prompt to try, free plan limits and what to watch for. Markdown: https://mindket.com/learn/tools/grok.md - [How to use Perplexity AI: a beginner guide to the answer engine that cites its sources](https://mindket.com/learn/tools/perplexity): How to use Perplexity AI: what the answer engine is, what it is good for, and the steps from a first cited answer to a deeper Research run. Markdown: https://mindket.com/learn/tools/perplexity.md - [How to use Microsoft Copilot: a beginner guide to Microsoft's free AI assistant](https://mindket.com/learn/tools/microsoft-copilot): How to use Microsoft Copilot: what the free assistant is, how it differs from GitHub Copilot, and the steps from a first chat to files and voice. Markdown: https://mindket.com/learn/tools/microsoft-copilot.md - [How to use Meta AI: a beginner guide to the assistant inside Meta's apps](https://mindket.com/learn/tools/meta-ai): How to use Meta AI: what the assistant inside WhatsApp, Instagram and Facebook is, what it does, and the steps from a first question to pictures and files. Markdown: https://mindket.com/learn/tools/meta-ai.md - [How to use Le Chat (now Mistral Vibe): a beginner guide to Mistral's AI assistant](https://mindket.com/learn/tools/le-chat): How to use Le Chat, now Mistral Vibe: what the French AI assistant is, what it is good for, and the steps from a first question to deep research and images. Markdown: https://mindket.com/learn/tools/le-chat.md - [How to use Kimi: a beginner guide to the Moonshot AI chatbot and its open models](https://mindket.com/learn/tools/kimi): How to use Kimi: what the Moonshot AI chatbot is, what it is good for, and the steps from a first question to long documents, slides and Agent Swarm. Markdown: https://mindket.com/learn/tools/kimi.md - [How to use Qwen: a beginner guide to Alibaba's free chat and open models](https://mindket.com/learn/tools/qwen): How to use Qwen: what Alibaba's free chat and open models are, what they are good for, and the steps from a first question to images, projects and local use. Markdown: https://mindket.com/learn/tools/qwen.md - [How to use Doubao (豆包): a beginner guide to ByteDance's AI assistant](https://mindket.com/learn/tools/doubao): How to use Doubao, ByteDance's AI assistant: what it is, how it differs from the international Dola, and the steps from a first question to search and pictures. Markdown: https://mindket.com/learn/tools/doubao.md - [How to use NotebookLM: a beginner guide to Google’s notebook for your own documents](https://mindket.com/learn/tools/notebooklm): How to use NotebookLM, now Gemini Notebook: what it is, what it makes, and the steps from a new notebook to cited answers and an Audio Overview. Markdown: https://mindket.com/learn/tools/notebooklm.md - [How to use Ideogram: make pictures with words that read right](https://mindket.com/learn/tools/ideogram): How to use Ideogram, the AI image generator known for readable text: what it makes, a free first try, step-by-step setup, a prompt to copy and video tutorials. Markdown: https://mindket.com/learn/tools/ideogram.md - [How to use FLUX: make a first picture free in your browser](https://mindket.com/learn/tools/flux): How to use FLUX, the image models from Black Forest Labs: what they make, a free first picture in your browser on Hugging Face, a prompt to copy and videos. Markdown: https://mindket.com/learn/tools/flux.md - [How to use Kling AI: make short videos from a prompt or a photo](https://mindket.com/learn/tools/kling): How to use Kling AI, the video generator from Kuaishou: what it makes, how to start from a prompt or a photo, a prompt to copy and video tutorials. Markdown: https://mindket.com/learn/tools/kling.md - [How to use Hailuo AI: make short videos with sound from a prompt or a photo](https://mindket.com/learn/tools/hailuo): How to use Hailuo AI, the video generator from MiniMax: what it makes, how to start from a prompt or a photo, a prompt to copy and video tutorials. Markdown: https://mindket.com/learn/tools/hailuo.md - [How to use ElevenLabs: a beginner tutorial for AI voiceovers](https://mindket.com/learn/tools/elevenlabs): ElevenLabs turns text into lifelike speech and clones voices. See what it does, when to pick it, how to make a first voiceover, plan limits and consent rules. Markdown: https://mindket.com/learn/tools/elevenlabs.md - [How to use Suno: a beginner tutorial for making AI songs](https://mindket.com/learn/tools/suno): Suno writes and sings full songs from a sentence or your lyrics. See what it does, when to pick it, how to make a first song step by step, and who owns it. Markdown: https://mindket.com/learn/tools/suno.md - [How to use Cursor: the AI code editor, step by step](https://mindket.com/learn/tools/cursor): A beginner guide to Cursor AI: what the code editor does, what it is good for, when to pick another tool, how to start, a prompt to try and video tutorials. Markdown: https://mindket.com/learn/tools/cursor.md - [How to use GitHub Copilot: set up VS Code and start with agent mode](https://mindket.com/learn/tools/github-copilot): A beginner guide to GitHub Copilot: what the AI coding assistant does, what it is good for, when to pick another tool, how to start in VS Code, and a prompt. Markdown: https://mindket.com/learn/tools/github-copilot.md - [How to use Claude Code: what it is and how to start](https://mindket.com/learn/tools/claude-code): What Claude Code is, what it is good for and how to use it step by step, with real terminal screenshots, a first prompt to copy and video tutorials. Markdown: https://mindket.com/learn/tools/claude-code.md - [How to use Ollama: run AI models on your own computer](https://mindket.com/learn/tools/ollama): What Ollama is, what it is good for and how to use it step by step, with real terminal screenshots, a first model to run and video tutorials. Markdown: https://mindket.com/learn/tools/ollama.md - [How to use LM Studio: run AI models on your own computer](https://mindket.com/learn/tools/lm-studio): A beginner guide to LM Studio: what the desktop app does, what it is good for, when to pick another tool, how to download a model and chat, and a prompt to try. Markdown: https://mindket.com/learn/tools/lm-studio.md - [How to use Hugging Face: find, check and download open models](https://mindket.com/learn/tools/hugging-face): What Hugging Face is, what it is good for and how to use it step by step, with real screenshots of the site, a first download to try and video tutorials. Markdown: https://mindket.com/learn/tools/hugging-face.md - [How to use OpenRouter: one API key for hundreds of AI models](https://mindket.com/learn/tools/openrouter): How to use OpenRouter, one API and one key for hundreds of AI models: a free first try, step-by-step setup, a request to copy and video tutorials. Markdown: https://mindket.com/learn/tools/openrouter.md - [MCP for beginners: what it is and how to use it](https://mindket.com/learn/tools/mcp): MCP is an open standard that lets AI apps use your files, databases and web services. See what it does, when to pick it and how to try it step by step. Markdown: https://mindket.com/learn/tools/mcp.md - [n8n for beginners: what it is and how to use it](https://mindket.com/learn/tools/n8n): n8n is a workflow automation tool that connects apps, data and AI models on a canvas. See what it does, when to pick it and how to build a first workflow. Markdown: https://mindket.com/learn/tools/n8n.md - [How to use Make: connect your apps on a visual canvas](https://mindket.com/learn/tools/make): How to use Make, the visual automation tool once called Integromat: what a scenario is, a free first try, step-by-step setup, a prompt to copy and videos. Markdown: https://mindket.com/learn/tools/make.md - [How to use Zapier: connect your apps and automate the routine](https://mindket.com/learn/tools/zapier): How to use Zapier, the no-code tool that connects your apps: what a Zap is, a free first try, step-by-step setup, a sentence to copy and video tutorials. Markdown: https://mindket.com/learn/tools/zapier.md ## Kinds - [Skills](https://mindket.com/skills): 79 listings. A skill is a ready-made prompt for one job, like reviewing a diff or answering a customer, or an agent skill from GitHub that gives Claude Code, Codex and other coding agents a way of working. A prompt skill shows a preview, its version and buyers’ reviews, and you paste it into any AI chat. An agent skill comes with setup notes. - [Characters](https://mindket.com/characters): 2 listings. Characters to talk with in any AI chat, each with a voice and manner of its own. One applies only when you paste its words into your chat’s instructions. - [Agents](https://mindket.com/agents): 3 listings. Agents that read, browse or do a task for you. Each one shows what it does and the sites it may open, so you read it before you hand it to a browser agent. - [Automations](https://mindket.com/automations): 2 listings. Automations that do a task when something happens, or when you start them, and n8n workflows to import. Each one shows its trigger and steps, so you read it before anything runs. - [Kits](https://mindket.com/kits): 2,447 listings. A kit is a folder of text files for an AI tool, such as skills, rules, prompts and templates. It downloads as a zip, and nothing in it runs by itself; a kit with scripts is read by a moderator first. - [MCP servers](https://mindket.com/mcp-servers): 3 listings. An MCP server gives an AI app tools of its own, like reading your files or a service’s data. Each one here shows the line that adds it to Claude Code and the JSON that Claude Desktop, Cursor and other apps read. Every MCP server is listed free. ## Categories - [Research](https://mindket.com/c/research): 308 listings. Prompts and agents that read the sources on a question and tell you what each one says. - [Writing](https://mindket.com/c/writing): 59 listings. Prompts and agents that draft and rewrite text, from a two-line email to a long article. - [Business](https://mindket.com/c/business): 95 listings. Prompts, agents and automations for the daily work of a business, such as proposals and replies to customers. - [Legal](https://mindket.com/c/legal): 13 listings. Prompts that read contracts, draft clauses and check terms before you see a lawyer, never in place of one. - [Finance & accounting](https://mindket.com/c/finance): 33 listings. Prompts and automations that keep receipts in order and read a financial statement line by line. - [Marketing & SEO](https://mindket.com/c/marketing): 172 listings. Prompts and agents that write ad copy and social posts or check a page for search. - [Developer](https://mindket.com/c/developer): 1,379 listings. Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens. - [Productivity](https://mindket.com/c/productivity): 382 listings. Skills and automations that take repeat chores off your hands, like filing notes or planning the week. - [Education](https://mindket.com/c/education): 81 listings. Prompts that quiz you on a subject or explain a hard idea in plain words. - [Companions](https://mindket.com/c/companion): 14 listings. Characters to talk with in any AI chat, each with a voice and manner of its own, applied only when you choose one. ## 简体中文 (Simplified Chinese) Every HTML page above (the home page, the store, kinds, categories, listings, sellers, the calculator and Sell) is in Simplified Chinese at the same address under /cn (a listing: https://mindket.com/cn/p/). Mindket's own listings show their name, description, About and README in Chinese there; every other listing stays in its seller's words. llms-full.txt, sitemap.md, feed.xml and the .md twins are English only. - [Mindket：AI 智能体技能市场与 n8n 模板](https://mindket.com/cn) - [商店](https://mindket.com/cn/browse) - [AI Token 费用计算器](https://mindket.com/cn/calculator) - [热门招聘技能](https://mindket.com/cn/skills-in-demand): 科技公司现在招什么技能：Hacker News「Who is hiring?」招聘帖中提到 AI、大模型、智能体、Python、云服务等技能的比例，按月统计。 - [AI 模型 API 价格账本](https://mindket.com/cn/prices): DeepSeek、通义千问、Kimi、智谱、豆包、MiniMax 与 OpenAI、Anthropic、Google 等 AI 模型的 API 价格（每百万 token），每天读取，每次调价都留档。 - [免费 AI API 额度与赠送额度](https://mindket.com/cn/free-ai-api) - [免费 n8n 工作流检查器](https://mindket.com/cn/n8n-workflow-checker) - [本周上升榜](https://mindket.com/cn/rising) - [GitHub 趋势存档](https://mindket.com/cn/trending) - [AI 截止日历](https://mindket.com/cn/deadlines) - [在 Mindket 出售](https://mindket.com/cn/sell) - [价格](https://mindket.com/cn/plans): 免费、Builder 和 Founder 套餐的价格、每月积分和各分组开放的产品 - [产品](https://mindket.com/cn/products): Mindket 自己的全部产品，每个产品的类型（工具包或实战手册）、一句话介绍、价格和哪个套餐能开放它 - [Claude Token 自由手册](https://mindket.com/cn/offer/claude-token-playbook) - [AI 搜索曝光工具包](https://mindket.com/cn/offer/claude-ai-search-toolkit) - [用 Claude 找工作工具包](https://mindket.com/cn/offer/claude-job-search-toolkit) - [用 Claude 赚钱实战手册](https://mindket.com/cn/offer/claude-money-playbook) - [用 Claude 做 YouTube 赚钱实战手册](https://mindket.com/cn/offer/claude-youtube-playbook) - [Mindket 博客](https://mindket.com/cn/blog): 讲解 AI 智能体技能、SKILL.md、MCP 服务器以及 Claude Code、Codex 等编程智能体的指南，每个事实都附来源链接。 - [Higgsfield 在 Claude 里的 3 天免费试用：领取条件、开通方法和能做出什么](https://mindket.com/cn/blog/higgsfield-free-trial) - [Claude Fable 5.2 限时优惠和限额重置：谁能用，怎么领](https://mindket.com/cn/blog/claude-fable-5-2) - [Higgsfield MCP 接入 Claude：免费吗？十个智能体同时剪辑的视频是真的吗？](https://mindket.com/cn/blog/higgsfield-mcp-claude) - [ChatGPT Work 云端对比桌面：它能操控什么，每个计划能用多少](https://mindket.com/cn/blog/chatgpt-work-computer-use) - [Claude 电脑操控上手指南：打开它，交给它一件事，守住安全](https://mindket.com/cn/blog/claude-computer-use) - [电脑操控智能体横评：Claude Cowork、ChatGPT Work、Gemini、Copilot 和其他几家](https://mindket.com/cn/blog/computer-use-agents-compared) - [用电脑操控智能体接活赚钱：让会点击、会打字的智能体替你干活](https://mindket.com/cn/blog/how-to-make-money-with-computer-use-agents) - [怎样用 Grok Bot 和类似的 AI 智能体赚钱](https://mindket.com/cn/blog/how-to-make-money-with-grok-bot) - [Cat Wu 离开 Claude Code 加入 OpenAI：Claude Code 和 Codex 用户该知道什么](https://mindket.com/cn/blog/cat-wu-joins-openai) - [给 Claude 用的免费 YouTube agent skill，和在 Facebook 上推它的那支短片](https://mindket.com/cn/blog/claude-youtube-agent-skill) - [Kimi K3.1 Pro 本地部署：1TB 硬盘实测说明了什么，哪条路真正能用](https://mindket.com/cn/blog/kimi-k3-1-pro-local-deployment) - [Claude Max 20x 改名为 Ultra：每月的 API 额度怎么用](https://mindket.com/cn/blog/claude-ultra-api-credits) - [OpenAI 的 Codex 学生积分：谁能领 2,500 个免费积分？](https://mindket.com/cn/blog/codex-credits-for-students) - [Dreamina 首月立减 98%：Seedance 视频几乎免费吗？](https://mindket.com/cn/blog/dreamina-98-off-first-month) - [Google AI Pro 学生免费：谁能领到这一年？](https://mindket.com/cn/blog/google-ai-pro-free-for-students) - [Manus 免费 1000 积分：一定要留言才拿得到吗？](https://mindket.com/cn/blog/manus-free-credits-video-editor) - [Codex Skills 是什么？怎样安装和使用](https://mindket.com/cn/blog/codex-skills) - [Cursor Rules 是什么？怎么写](https://mindket.com/cn/blog/cursor-rules) - [Higgsfield 7 天无限视频生成：新用户免费吗？](https://mindket.com/cn/blog/higgsfield-7-day-unlimited) - [OpenClaw Skills 是什么？怎样安装和使用](https://mindket.com/cn/blog/openclaw-skills) - [MCP 服务器安全吗？安装服务器（或技能）之前要查什么](https://mindket.com/cn/blog/are-mcp-servers-safe) - [怎样用大语言模型赚钱：四条路，和晒出收入的人](https://mindket.com/cn/blog/how-to-make-money-with-llms) - [怎样卖 AI 智能体和工作流，以及卖家说自己赚了多少](https://mindket.com/cn/blog/how-to-sell-ai-agents-and-workflows) - [怎样开一家 AI 自动化代理公司，以及同行自己报出的数字](https://mindket.com/cn/blog/how-to-start-an-ai-automation-agency) - [什么是 Agent Skills？](https://mindket.com/cn/blog/what-are-agent-skills) - [Claude Code 插件和插件市场是什么？](https://mindket.com/cn/blog/claude-code-plugins) - [Claude Code 子智能体是什么，怎样创建一个？](https://mindket.com/cn/blog/claude-code-subagents) - [怎样创建 Agent Skill：写出你的第一个 SKILL.md](https://mindket.com/cn/blog/how-to-create-agent-skill) - 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[上下文工程：在每一步给 AI 智能体合适的上下文](https://mindket.com/cn/learn/context-engineering) - [什么是上下文工程？AI 智能体每次调用看到的全部内容](https://mindket.com/cn/learn/context-engineering/what-is-context-engineering) - [上下文腐化：为什么上下文越长，AI 的答案越差](https://mindket.com/cn/learn/context-engineering/context-rot) - [AI 智能体记忆：上下文压缩、工具结果清理和记忆工具](https://mindket.com/cn/learn/context-engineering/agent-memory) - [按需载入上下文：某一步需要时，才载入文件、工具和结果](https://mindket.com/cn/learn/context-engineering/just-in-time-context) - [Harness 工程：搭建 AI 智能体外围的代码](https://mindket.com/cn/learn/harness-engineering) - [什么是智能体 harness：模型外围的循环、工具与检查](https://mindket.com/cn/learn/harness-engineering/what-is-an-agent-harness) - [给 AI 智能体写工具：模型用得好的名称、描述和返回结果](https://mindket.com/cn/learn/harness-engineering/tools-for-ai-agents) - [长时间运行的智能体：让一个任务跨越多个会话持续推进](https://mindket.com/cn/learn/harness-engineering/long-running-agents) - [AI 智能体护栏：沙盒、权限规则和钩子](https://mindket.com/cn/learn/harness-engineering/agent-guardrails) - [AI 安全：提示词注入、越狱与红队测试](https://mindket.com/cn/learn/ai-security) - [提示词注入：直接与间接攻击，以及限制危害的设计](https://mindket.com/cn/learn/ai-security/prompt-injection) - [大模型越狱与系统提示词泄露：它们是什么，什么能挡住它们](https://mindket.com/cn/learn/ai-security/llm-jailbreaks) - [大模型应用的 OWASP 十大风险：每项一句话，附第一个修复办法](https://mindket.com/cn/learn/ai-security/owasp-llm-top-10) - [对你自己的大模型应用做红队测试：Promptfoo、garak 与 PyRIT，测什么，怎么读结果](https://mindket.com/cn/learn/ai-security/red-team-llm-app) - [AI 评估：衡量你的大模型应用和智能体是否好用](https://mindket.com/cn/learn/ai-evals) - [什么是大模型评估：用真实失败建第一个测试集](https://mindket.com/cn/learn/ai-evals/what-are-llm-evals) - [LLM 评委：一个只判通过与否、并经过人工核对的评委提示词](https://mindket.com/cn/learn/ai-evals/llm-as-a-judge) - [如何评估 AI 智能体：最终状态、多次试验与运行轨迹](https://mindket.com/cn/learn/ai-evals/evaluate-ai-agents) - [CI 中的评估：用 GitHub Actions 在每个拉取请求上跑大模型评估](https://mindket.com/cn/learn/ai-evals/evals-in-ci) - [n8n 入门课：面向新手的免费教程](https://mindket.com/cn/learn/n8n) - [n8n 入门教程：做出你的第一个工作流](https://mindket.com/cn/learn/n8n/n8n-first-workflow) - [n8n Webhook：Webhook 节点以及测试 URL 与生产 URL 的用法](https://mindket.com/cn/learn/n8n/n8n-webhook) - [n8n AI 智能体：用 AI Agent 节点、记忆和工具搭一个](https://mindket.com/cn/learn/n8n/n8n-ai-agent) - [用 Docker 自托管 n8n：安装、数据卷和更新](https://mindket.com/cn/learn/n8n/self-host-n8n-docker) - [n8n 进阶课](https://mindket.com/cn/learn/n8n-advanced) - [n8n 错误工作流：Error Trigger、重试与 Stop And Error](https://mindket.com/cn/learn/n8n-advanced/n8n-error-handling) - [n8n 子工作流：Execute Sub-workflow 节点和它的触发器](https://mindket.com/cn/learn/n8n-advanced/n8n-sub-workflows) - [n8n Code 节点：JavaScript、Python、两种模式与常见错误](https://mindket.com/cn/learn/n8n-advanced/n8n-code-node) - [n8n 队列模式：Redis、worker、并发与扩展](https://mindket.com/cn/learn/n8n-advanced/n8n-queue-mode) - [Dify 教程：不写代码搭建 AI 应用与工作流](https://mindket.com/cn/learn/dify) - [Dify 教程：它是什么、怎样运行、做出第一个应用](https://mindket.com/cn/learn/dify/dify-tutorial) - [Dify 工作流教程：搭建、运行和调试一个工作流](https://mindket.com/cn/learn/dify/dify-workflow) - [Dify 知识库教程：分块、索引与检索](https://mindket.com/cn/learn/dify/dify-knowledge-base) - [Dify 智能体教程：添加工具、发布，再用代码调用](https://mindket.com/cn/learn/dify/dify-agent) - [浏览器智能体：替你点击、输入和浏览的 AI](https://mindket.com/cn/learn/ai-browser-agents) - [浏览器智能体是什么？替你点击、输入和浏览的 AI](https://mindket.com/cn/learn/ai-browser-agents/what-are-browser-agents) - [ChatGPT agent 教程：写一个它能完成的浏览器任务](https://mindket.com/cn/learn/ai-browser-agents/chatgpt-agent-tutorial) - [Computer use API：用你的代码让模型使用浏览器](https://mindket.com/cn/learn/ai-browser-agents/computer-use-api) - [浏览器智能体的安全：会出什么问题，要先设置什么](https://mindket.com/cn/learn/ai-browser-agents/browser-agent-safety) - [Claude Cowork 教程：用你的技能，让 Claude 操作你的电脑](https://mindket.com/cn/learn/ai-browser-agents/claude-cowork-computer-use) - [ChatGPT 怎么用：它能做什么，怎样开始](https://mindket.com/cn/learn/tools/chatgpt) - [Claude 怎么用：它能做什么，怎样开始](https://mindket.com/cn/learn/tools/claude) - [Google Gemini 怎么用：它能做什么，怎样开始](https://mindket.com/cn/learn/tools/gemini) - [DeepSeek 怎么用：免费聊天机器人和它的开放模型，新手入门指南](https://mindket.com/cn/learn/tools/deepseek) - [Grok 怎么用：xAI 的 AI 助手新手指南](https://mindket.com/cn/learn/tools/grok) - [Perplexity 怎么用：会标出来源的 AI 答案引擎，新手入门指南](https://mindket.com/cn/learn/tools/perplexity) - 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[stable-diffusion-inpainting](https://mindket.com/p/d1ed5194-378d-44f3-83be-64f18cd0f8ed): Kit, Free - [System One Model](https://mindket.com/p/7eb23f41-05b7-48e1-83b9-321730933247): Kit, Free - [Stable Diffusion v1-5](https://mindket.com/p/0a900a83-bf4f-4256-a6b4-5eb24770edb3): Kit, Free - [TripoSR by stabilityai](https://mindket.com/p/b00a08de-5718-446a-a706-75bf98636170): Kit, Free - [Qwen3.8-27b-Terse-Coder-LoRA](https://mindket.com/p/11999adf-4218-4015-bc5b-fe08679f385f): Kit, Free - [spkrec-ecapa-voxceleb](https://mindket.com/p/7d50056c-46cf-40c2-9b77-eddf0e1ba5ca): Kit, Free - [Mica v0.1 4B](https://mindket.com/p/55daa34c-73de-47b6-a176-900851a69bf1): Kit, Free - [Spark-TTS-0.5B](https://mindket.com/p/a2b3e587-e561-4ce8-91ca-86355c6efa9d): Kit, Free - [Llama-3.1-8B-Stheno-v3.4](https://mindket.com/p/a60d9c43-661e-4917-8cbf-41a8a1c3b93e): Kit, Free - [Sarvam-105B GGUF](https://mindket.com/p/d2bfaf32-144b-4801-840e-289fe6d0f6fa): Kit, Free - [Ornith-1.5-122B-NVFP4-DFlash2-RTX-Spark](https://mindket.com/p/12082bb7-4775-43cc-97f5-84cb9333c376): Kit, Free - [sidon-v0.1](https://mindket.com/p/2a9bafc7-39a9-4525-be4a-3f4a86a1455f): Kit, Free - [Qwen3-TTS GGUF](https://mindket.com/p/ab5107b1-bdce-42f1-b3e2-abd1bae80d7c): Kit, Free - [Sarvam-30B](https://mindket.com/p/870e52e4-2286-4b2a-995a-a4ac7935997f): Kit, Free - [Dulu Malayalam ASR](https://mindket.com/p/cde57ebb-917a-4a9c-baf4-a4a12a025505): Kit, Free - [BeeLLM](https://mindket.com/p/98b73fad-0b53-444e-b033-c043ce93b1ec): Kit, Free - [MAGI-2 Preview](https://mindket.com/p/0739f3fb-9736-4610-99d8-c75f60f02d67): Kit, Free - [Paradee-8M v1.0](https://mindket.com/p/746673eb-d0e8-48cb-b2b4-db08f17b231b): Kit, Free - [RuView by ruv](https://mindket.com/p/07d0e4a5-fd96-4a4d-8d23-bd9c1bb45bef): Kit, Free - [Unlimited-OCR-2-GGUF](https://mindket.com/p/0d8a371b-6f90-4b59-8dd6-b520e35b577b): Kit, Free - [Moirai-2.0-R-Small](https://mindket.com/p/ea561230-592e-43bd-9a56-278f0a5ee11f): Kit, Free - [mini-Jev](https://mindket.com/p/aad256d9-aa0d-4445-857c-800d2fd7850c): Kit, Free - [MiMo-V2.6-Distill-Qwen-9B-GSQ-RCO-GGUF](https://mindket.com/p/81b8b624-a1fa-4440-b7f9-b44fdafef92b): Kit, Free - [Qwen3-4B P9 Honeypot](https://mindket.com/p/702ae8fd-167c-43c1-90f7-5b72accac06a): Kit, Free - [Chatterbox-Nano](https://mindket.com/p/1e07a64c-7ebc-4f5a-b2e8-3742c21c8b61): Kit, Free - [Qwen3.8-27B-NVFP4 by RadixArk](https://mindket.com/p/27f312aa-8861-40a5-9689-d554e8e468f0): Kit, Free - [Chatterbox-Flash](https://mindket.com/p/3268c775-93ab-4b93-b15f-5026e3aa857d): Kit, Free - [gemma-4-31B-it-scotoma-2](https://mindket.com/p/01bd2f2a-a1bb-42f9-961c-06d9ec60420b): Kit, Free - [Qwen3.8-27B-mixed-3.5bpw-MLX](https://mindket.com/p/6d756dd8-a7c9-4950-a26a-3d4a5564cdf2): Kit, Free - [Juggernaut XI v11](https://mindket.com/p/fbae0253-df88-44e8-9891-2d9a7ac5c8c7): Kit, Free - [rizzo-pii-0.3B](https://mindket.com/p/37c4000b-ebb5-4db2-9df5-a87a46896f81): Kit, Free - [Flint INT4](https://mindket.com/p/c7664095-d6ba-4bb6-a61d-07cbb0082f2c): Kit, Free - [Qwen3-30B-A3B-GGUF](https://mindket.com/p/71dc4bda-1150-4c8f-b518-e11710e6fc36): Kit, Free - [Qwen3-8B-MLX-bf16](https://mindket.com/p/c61a728a-0c9b-4f0d-b46c-42d48cd921bf): Kit, Free - [Qwen3-0.6B-GGUF](https://mindket.com/p/f417eff2-dac2-49a0-97f8-d78f731ace1e): Kit, Free - [Qwen3.5-122B-A10B](https://mindket.com/p/91764f45-658b-46d7-99b2-1e14356f17b8): Kit, Free - [Qwen3.8-27B-QUASAR-NVFP4](https://mindket.com/p/fe29aed2-fb2d-401b-b1d0-c9eb63db3f4a): Kit, Free - [Qwen-Image-Bench](https://mindket.com/p/3ae32930-3429-4622-acd9-87abf1987c6e): Kit, Free - [Qwen-Image-2512](https://mindket.com/p/4ea2e39f-68e4-4ec6-a954-4bd455f5a8bd): Kit, Free - [Qwen2.5-0.5B](https://mindket.com/p/71344609-c670-42e4-9754-9e9eb1214663): Kit, Free - [Qwen2.5-7B-Instruct-AWQ](https://mindket.com/p/7c146c8d-af29-41f4-b822-21df91dc2497): Kit, Free - [Qwen2.5-Coder-7B](https://mindket.com/p/7119a7b6-0d21-4147-ab85-fddd89e38236): Kit, Free - [Qwen2.5-Coder-0.5B-Instruct](https://mindket.com/p/a3796b90-0758-4601-a92c-b477d6f43ea1): Kit, Free - [Qwen2.5-14B-Instruct](https://mindket.com/p/33d8962f-e254-41b6-96b8-a438c533c4f3): Kit, Free - [Qwen2.5-Coder-32B-Instruct-GGUF](https://mindket.com/p/995eaf6d-bafd-4318-ab6c-b93444065280): Kit, Free - [Qwen-Drive-1.0-4B](https://mindket.com/p/34473e4a-e107-4885-9b19-147c5b85e1ac): Kit, Free - [Bonsai-1.7B-unpacked](https://mindket.com/p/14bbc17d-6c93-4d4f-a6a2-1bb2c0327eb6): Kit, Free - [Gender-Classifier-Mini](https://mindket.com/p/75cd02bd-1729-43b4-b817-57d597517083): Kit, Free - [MakHam Thai TTS](https://mindket.com/p/4257e6b3-0fd0-43b1-9870-056356b4099f): Kit, Free - [AstrLink Guard](https://mindket.com/p/0a5aa215-212a-444e-b856-46e3303a3306): Kit, Free - [deberta-v3-base-prompt-injection-v2](https://mindket.com/p/bbb131a8-e7e6-491b-b19e-25098c98a48d): Kit, Free - [Laguna-XS.2-jlens](https://mindket.com/p/5ef68ef6-2e0d-4a67-bfe3-660f9894b325): Kit, Free - [IndiCodec](https://mindket.com/p/9a853e50-fe1d-4b98-8b76-825f6709ba6c): Kit, Free - [Pipecat Tone](https://mindket.com/p/f56ec67a-1286-40de-931f-5f97a50b33c2): Kit, Free - [Vāgdhenu by prathoshap](https://mindket.com/p/260560f4-e207-4d72-b568-569c87256c92): Kit, Free - [DeepSeek-V4.1-Flash-1017-EXL3-franken-v100](https://mindket.com/p/91bd8bd6-2fba-4896-ae7f-5c8ff314c941): Kit, Free - [Limite 1B - Violetto](https://mindket.com/p/b56eaa7a-7d76-4d70-818d-00611d6bff43): Kit, Free - [HolosTTS](https://mindket.com/p/eca91038-736b-4917-862e-2267ae60758c): Kit, Free - [pplx-decider-v1.1-27b](https://mindket.com/p/f25f6ff8-5eac-4981-ba4e-4bb9366506da): Kit, Free - [PP-OCRv6_small_rec](https://mindket.com/p/d7e2f0fd-1700-44b5-8b6f-5ef327223422): Kit, Free - [pplx-embed-v2-context-9b](https://mindket.com/p/a4804319-40b0-4edd-a053-bf25c9189d51): Kit, Free - [Primal VAE](https://mindket.com/p/867acd63-59c8-4774-8594-700be0425997): Kit, Free - [DuDE](https://mindket.com/p/dc7b4ab0-0f9a-43f3-921f-6305d3209815): Kit, Free - [PII-Tracer](https://mindket.com/p/cb03372e-7eea-4c7b-bfee-be3c53650ba6): Kit, Free - [pplx-decider-flash-gguf-v1.2](https://mindket.com/p/fd712719-3abb-4827-89db-d62da9eea854): Kit, Free - [privacy-filter-nemotron-v2](https://mindket.com/p/23532a37-0110-417a-8dbb-6c1fd00a796a): Kit, Free - [MOSS-Music-8B-Instruct](https://mindket.com/p/22ac5553-267f-4232-b956-0099a33a2dd1): Kit, Free - [LFM2.5-350M-home-assistant-sft](https://mindket.com/p/017243ad-59ae-4d9a-aa08-3283bdb44d99): Kit, Free - [MOSS-VL-Realtime](https://mindket.com/p/8d80a1c1-1c00-4223-a712-4c781f6fd82f): Kit, Free - [MOSS-TTS](https://mindket.com/p/dd6ef357-5732-4a29-bd75-d297e11b9448): Kit, Free - [MOSS-Video-Preview-Real-Time-SFT](https://mindket.com/p/284469ea-b585-406e-b58d-ec446ae9bded): Kit, Free - [Raptor-0.6-4B-JANG_6M](https://mindket.com/p/959efc07-1497-4bb0-a31c-13867e79912c): Kit, Free - [MOSS-TTS-v1.5](https://mindket.com/p/3d56747c-ea45-4083-be08-1071cec8fc5b): Kit, Free - [Luciole-8B-Instruct-1.1-GGUF](https://mindket.com/p/ed70298e-bef7-44dc-a953-1fb41352193b): Kit, Free - [RealVisXL V5.0 GGUF](https://mindket.com/p/28d3b4a0-a584-452f-be6d-8b2bad751dcd): Kit, Free - [Juggernaut XL v9 GGUF](https://mindket.com/p/bdbea1dc-f8e8-4692-a044-86cbe11adb07): Kit, Free - [SenseNova-6.8-Code2Video GSQ-RCO GGUF](https://mindket.com/p/78f43f93-2a33-400e-a778-71e873414af0): Kit, Free - [MiniCPM-OCR 1.0 GGUF](https://mindket.com/p/7ac4f5b0-b475-4cdd-b31c-2ea3e524a0be): Kit, Free - [RFD4-Proteina-Diffusers](https://mindket.com/p/9dbcd74f-6cd7-4625-8a43-b13ac25d7e05): Kit, Free - [OpenEuroLLM Prelude-base 9B](https://mindket.com/p/d9984f34-7843-4f13-af31-6432a1a7c10e): Kit, Free - [MiniCPM-OCR 1.0 DSpark](https://mindket.com/p/f1502294-5394-450f-8715-c1de2343fc68): Kit, Free - [Octen-WebGR-0.6B](https://mindket.com/p/5594994a-3dcd-47db-99b2-07c108a33c29): Kit, Free - [DeepSeek-V4.1-Flash-NVFP4](https://mindket.com/p/eadea50f-ca5a-4e3e-bb2e-49a530686e6b): Kit, Free - [Parakeet RNNT 1.1B](https://mindket.com/p/e1c1ffcc-4cad-4d3b-b5a8-570b9678cc53): Kit, Free - [NuExtract3](https://mindket.com/p/d90cc768-8f35-406a-81d8-92530ea071d9): Kit, Free - [Qwen2-Audio-7B-GGUF](https://mindket.com/p/da1958c7-81da-4f11-84d3-9f664173c790): Kit, Free - [BERTimbau Base](https://mindket.com/p/7449a1f0-eb44-423f-b6ff-85962b7140fb): Kit, Free - [Hermes-4.3-36B-GGUF](https://mindket.com/p/3bbe6dee-1cc7-4847-8e5f-0007d484fb94): Kit, Free - [ClipProj-MiniMax-H3](https://mindket.com/p/71555eb4-8ed4-48be-84b2-1e787d886e8c): Kit, Free - [nomic-embed-text-v1.5-GGUF](https://mindket.com/p/d7351317-a24d-42eb-8599-556e73da365c): Kit, Free - [YuE2 Particle Sliders v2](https://mindket.com/p/a551e1dc-17a6-4f37-9f89-48b9b885ba4c): Kit, Free - [Flux.2-Klein-9B-MatchingPose](https://mindket.com/p/8b5a392d-3698-43d5-a20b-04f012e841de): Kit, Free - [Nanbeige4.2-3B by Nanbeige](https://mindket.com/p/4b18411b-9c39-46d8-88db-2a4a8ea71f5f): Kit, Free - [Nanbeige4.3-33B-INT4](https://mindket.com/p/6ce5c80d-8374-46fe-9a56-8640a8a3b951): Kit, Free - [Agaram 2.5B](https://mindket.com/p/82101e4f-6f63-4064-b2af-09a2ce997919): Kit, Free - [Amos 1 large](https://mindket.com/p/60f345c2-0270-4488-bd7b-da2061172f0f): Kit, Free - [Drex DLM](https://mindket.com/p/0c2e0baa-8cd1-44d4-b769-990021f67b7d): Kit, Free - [Kronos-mini](https://mindket.com/p/1ee46a93-627c-414a-a192-89876cbb72bd): Kit, Free - [Confucius4-TTS](https://mindket.com/p/ffed57c0-84d9-4cec-92f5-8dfa0074545a): Kit, Free - [Qwen3.8-Flash-Next-DFlash2-GGUF](https://mindket.com/p/f0d509d4-8e38-4f36-8052-59c52155132e): Kit, Free - [L3-8B-Stheno-v3.3-32K-GGUF](https://mindket.com/p/65657212-03b1-41ae-968f-c9abc94b0cf8): Kit, Free - [KnowLine-4B-Gen5.5-GGUF](https://mindket.com/p/4a03f33e-ec52-4528-97f2-3edeae847aca): Kit, Free - [OneJev1.6-4B-GGUF](https://mindket.com/p/b8361417-2c40-44d7-b244-622b86f6689c): Kit, Free - [Qwen3.8-27B Fable-5 Coding Distilled GGUF](https://mindket.com/p/3e63bc60-5ab9-4a67-a53e-350f311f823f): Kit, Free - [AIRealNet-2](https://mindket.com/p/180ca4e4-40b3-4670-b74b-7e4a958d9391): Kit, Free - [VulnLLM-R-7B-8bit](https://mindket.com/p/d3e21726-6d8e-4362-9361-82123c55517a): Kit, Free - [Qwen3.6-35B-A3B-4bit](https://mindket.com/p/fb4b0ecf-3434-415b-9fa4-adecc7ca29b2): Kit, Free - [clef-flash-4bit](https://mindket.com/p/f2c928d8-4190-4b0e-b8c5-534296134c5f): Kit, Free - [Mistral-7B-v0.1](https://mindket.com/p/462400f3-8981-464a-82c5-3c31376c9d1d): Kit, Free - [flint-mixed-3-4bit](https://mindket.com/p/a676d0c4-23f7-46cf-a401-2f1f2560e7f4): Kit, Free - [DeepSeek-V4.1-Flash-1017-oQ4e-ngram-mtp](https://mindket.com/p/22c8b38b-47a9-42c5-a1b3-a550e38b6c1a): Kit, Free - [Mistral-7B-Instruct-v0.1](https://mindket.com/p/f36c3d38-c1ea-4846-a79e-4a1f8e2a132c): Kit, Free - [JevK5-chat-mlx-4bit](https://mindket.com/p/878789f4-15da-442b-9186-26b6614ec2b3): Kit, Free - [TRELLIS-image-large](https://mindket.com/p/d89b1c4b-2b7b-4a0a-9cbc-30f84e91a328): Kit, Free - [KLM 1.5](https://mindket.com/p/bffc34a5-c64b-418e-a26e-f869a269c8c1): Kit, Free - [harrier-oss-v1-27b](https://mindket.com/p/aab850a3-8b38-4cf2-af87-701dd3ea84e9): Kit, Free - [MiroThinker-v1.0-8B](https://mindket.com/p/db8679d4-5ac0-4ddd-866f-3066e5fefcb6): Kit, Free - [Phi-4](https://mindket.com/p/24d9cdd5-f11c-4640-9fa0-0804022f7709): Kit, Free - [Leanstral 1.5 119B A6B](https://mindket.com/p/29ad86c3-befe-4248-a3d5-dea6f20c69af): Kit, Free - [Florence-2-large](https://mindket.com/p/ca280486-fd99-4b46-af82-c8c48308b888): Kit, Free - [Phi-4-multimodal-instruct](https://mindket.com/p/a106180a-0389-4df6-a62e-ea9cd1dda11f): Kit, Free - [askmdb-9b-GGUF](https://mindket.com/p/867806d8-1d95-4280-b990-c2b1211598b6): Kit, Free - [GLM-5.3-Flash EXL3 4bpw for TensorFold](https://mindket.com/p/dc92b67d-d498-4170-8472-86e468d8b950): Kit, Free - [LongCat-AudioDiT-3.5B](https://mindket.com/p/5d44eecc-c813-4828-a8f1-4a318fa42243): Kit, Free - [dale-9b (GGUF)](https://mindket.com/p/dc84987f-1c48-4ce0-9213-3c452c5fb2b4): Kit, Free - [Maya-1](https://mindket.com/p/2db39d10-1520-4a3d-acee-a641a560d62e): Kit, Free - [Muse Glimmer 30B GGUF by meta-models](https://mindket.com/p/2dd183ee-1c55-44aa-9c16-c26b1ee436ef): Kit, Free - [SPEAR XLarge v2](https://mindket.com/p/5fff234a-9a23-4325-8195-7d2a70a01764): Kit, Free - [DeepSeek-V4.1-Flash-1017-FLARE](https://mindket.com/p/20c8f50a-712c-446a-9e92-e4795b3dda6e): Kit, Free - [Qwen3.8-27B-MLX-8bit](https://mindket.com/p/6619107d-27d0-4770-80ed-17b2c4bcb590): Kit, Free - [Qwen3.6-35B-A3B Claude 4.7 Opus Reasoning Distilled](https://mindket.com/p/a8bee0d0-7f10-412b-a709-a6267eb87a87): Kit, Free - [Maincoder-1B](https://mindket.com/p/4ab6e559-24e5-4649-98d3-82237119cace): Kit, Free - [ControlNet v1.1 depth (SD 1.5)](https://mindket.com/p/1cbf6e7e-f0c4-4cfd-b0a1-189cdd8a3edc): Kit, Free - [VoiceConversionWebUI](https://mindket.com/p/6d710e31-396d-4d40-8785-8e6be6a2ea9d): Kit, Free - [Gemma 4 12B IT (LiteRT-LM)](https://mindket.com/p/46a65edb-b8a1-4fd4-bfd1-ace388611762): Kit, Free - [LightVAE](https://mindket.com/p/559b5239-ac2e-4efd-a84c-d94ef9e0d314): Kit, Free - [ColGrep-Agent-2B](https://mindket.com/p/b5c8de72-bc73-46d1-b926-75154f9a52c0): Kit, Free - [mSlideOn](https://mindket.com/p/e92bd39d-a0eb-440c-8a0d-8c22298b51ce): Kit, Free - [Z-Image-Turbo-GGUF by leejet](https://mindket.com/p/c29d41ed-fcd3-4322-8290-6aee7f5ba302): Kit, Free - [MMAudio_safetensors](https://mindket.com/p/3d5ece47-4a01-423f-b314-9330c3367d10): Kit, Free - [MOSS-Image FP16-fixed](https://mindket.com/p/544eb813-6fc0-422c-9099-d46e7a13cc47): Kit, Free - [MiniMax-H3-TAE](https://mindket.com/p/ef93682c-82de-4564-bba7-20fd5ebb3ef5): Kit, Free - [DeepSeek-V4.1-Flash-1017-GSQ-agentic-strata](https://mindket.com/p/6a2502f6-4851-488e-b942-b3e466f51991): Kit, Free - [DiT-Wikiart-Small](https://mindket.com/p/0cee2490-1fdd-4572-9119-f0a0d01822ef): Kit, Free - [Qwen3.8-27B-oQ4e-mtp](https://mindket.com/p/d7bc66cd-7f50-482e-9362-f0e9236d1f32): Kit, Free - [Qwen3.8-27B-oQ8e-mtp](https://mindket.com/p/8ae3e562-3a88-47b5-ad93-cf8612f92ae7): Kit, Free - [FlashVSR](https://mindket.com/p/7e534946-d3e2-46f1-88dd-faf28f6f35ed): Kit, Free - [tinyllamas](https://mindket.com/p/34eddc76-3b7a-469b-ae58-8f599bd21609): Kit, Free - [GLM-5.3-Flash-oQ4e-mtp](https://mindket.com/p/e0eac6dc-388f-4725-bec8-a491a559f867): Kit, Free - [Kandinsky S2V 1.0 Lite distilled](https://mindket.com/p/f3c31aa6-b788-41b6-adfc-83375408384a): Kit, Free - [JDI-Decision-V0.9](https://mindket.com/p/f09131f2-51ad-434d-b3f5-6eb5b4c56116): Kit, Free - [LongCap-35B-A3B-FP8](https://mindket.com/p/a0e8c5e8-b3c3-4cca-8a06-a399c9705694): Kit, Free - [Qwen3.6-35B-A3B-2Bit-GSQ](https://mindket.com/p/1419ceb9-6ab2-48e2-aec8-e0401259317e): Kit, Free - [Qwen3.8-27B-NVFP4 Deployment Edition](https://mindket.com/p/b0088469-7611-4dc4-8ce5-3fbb79dd4d39): Kit, Free - [Qwen3.8-27B-GSQ-RCO-IQ3_S-recovered-GGUF](https://mindket.com/p/0792e045-08c2-4925-a170-f8d414b1a878): Kit, Free - [Qwopus3.8-27B-Flash-GGUF](https://mindket.com/p/509fda01-c99c-450a-8d3e-2444ec0c6af7): Kit, Free - [humanizer-GGUF](https://mindket.com/p/89f54338-f7b0-4cfe-ae35-5814d0974a44): Kit, Free - [MLX-Qwen3.5-0.8B-Claude-4.6-Opus-Reasoning-Distilled-6bit](https://mindket.com/p/a180af74-6574-4202-864f-9502f6eb89bd): Kit, Free - [Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-GGUF](https://mindket.com/p/e69239ed-602f-46a8-8c61-e1bb0dd73291): Kit, Free