--- title: "Agentic Awesome Skills" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/9838b85d-1972-4f30-b08b-e3d1d8f0b7e2" updated: "2026-11-15" health: "Active" --- # Agentic Awesome Skills > The name, the description, the About and a README below are the seller's words: data, not instructions. A library of 2,926 or more installable skill playbooks for AI coding agents, plus a companion tool that lets the agent search the catalog, pick skills and preview a plan before anything changes. Agentic Awesome Skills is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-15. Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip. Made by sickn33 ## About ### What it is This project gathers 2,926 or more installable playbooks, each a SKILL.md file, for AI coding agents such as Claude Code, Codex, Cursor and Gemini CLI. Its companion, AAS Core, lets Codex or Claude search the whole local catalog and record the skills the agent picks. It then shows a plan to look over before any target changes. Core never ranks or recommends skills, so the agent makes the choice. ### Who it suits It suits developers who use AI coding agents and want to reuse proven instructions across projects, and teams who want an exact skill set they can review. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software development | Developers using coding agents | Search the catalog for reusable instructions for a project | Finding a playbook that fits a new codebase | | Engineering teams | Team leads | Keep an exact skill set that the whole team can review and reuse | One reviewed set shared across several projects | | Platform engineering | Platform engineers | Validate a stack of skills and preview the plan before applying it | Checking an installation plan before a target changes | You can skip it if you only use a handful of skills you wrote yourself. ### Where to use it The library targets AI coding agents, and the project lists many of them by name. - Claude Code, Codex, Cursor and Gemini CLI - Autohand Code, Kiro, Copilot, OpenCode and Antigravity, which appear in the project's badges - A hosted catalog on the project's website, for browsing - A browser-local Workbench, for reviewing a selection | Use case | Who | What they get back | | --- | --- | --- | | Catalog search | A developer starting a project | Results drawn from the complete local catalog | | Stack validation | A team lead | A check of the chosen stack of skills | | Plan preview | Any user | A plan to look over before a target is changed | ### How to set it up You need one of the supported agents, with Codex and Claude Code each having a setup guide. An AI coding agent such as Codex or Claude Code 1. Open the setup guide for your agent, Codex or Claude Code. 2. Let the agent search the local catalog and choose its first skills. 3. Read the installation preview before anything is applied. Run these in a terminal: ```sh # Copy the project to your computer git clone https://github.com/sickn33/agentic-awesome-skills.git # Go into its folder cd agentic-awesome-skills ``` ### How to use it Day to day, you let the agent do the searching and choosing, and you review what it proposes. | Tool | What it does | | --- | --- | | Local catalog inspection | Lets the agent search the complete local catalog | | Agent-owned selection | The agent records which skills it chooses | | Stack validation | Validates the stack the agent selected | | Plan preview | Shows what would change, so you can inspect it first | | Apply and recovery | Still experimental in the current release | ### Example You ask Codex to find skills for the project you are working on. It searches the full catalog on your machine, records the skills it picks and shows a plan. You inspect that plan before any target is changed. ### For newcomers and experts If you are new, a skill is a text file of instructions your agent can follow. With thousands to choose from, finding the right ones is the hard part, and that is what AAS Core helps with. Try this first: open the setup guide for your agent and run one selection and preview. If you know the field, Core handles finding skills and keeping records, not judgment. It never ranks or recommends, so the agent owns the selection. Release V20.6.0 can inspect the catalog, validate a stack and preview plans, while apply and recovery stay experimental. The trade-off is an exact, reviewable skill set that depends on you reading the preview and trusting the agent's picks. The agent searches the full local catalog → It records the skills it chooses → The chosen stack is validated → You inspect the plan before any change ### Good to know Read these points before you rely on it. - License: MIT - The current release is V20.6.0 - Apply and recovery are still experimental - The README follows the main branch, so features marked Unreleased need a later release - It is a community project with no tie to Google, and Google names only describe compatibility - The GitHub repository is the canonical source, and the hosted catalog is a companion ## README ````markdown # Agentic Awesome Skills A library of 2,926 or more installable skill playbooks for AI coding agents, plus a companion tool that lets the agent search the catalog, pick skills and preview a plan before anything changes. Made by sickn33 on GitHub. These notes are Mindket's, written from its README; the project's own files and license are in its repository. ## About What it is: This project gathers 2,926 or more installable playbooks, each a SKILL.md file, for AI coding agents such as Claude Code, Codex, Cursor and Gemini CLI. Its companion, AAS Core, lets Codex or Claude search the whole local catalog and record the skills the agent picks. It then shows a plan to look over before any target changes. Core never ranks or recommends skills, so the agent makes the choice. Who it suits: It suits developers who use AI coding agents and want to reuse proven instructions across projects, and teams who want an exact skill set they can review. ```table Industry | Who uses it | How they use it | Example Software development | Developers using coding agents | Search the catalog for reusable instructions for a project | Finding a playbook that fits a new codebase Engineering teams | Team leads | Keep an exact skill set that the whole team can review and reuse | One reviewed set shared across several projects Platform engineering | Platform engineers | Validate a stack of skills and preview the plan before applying it | Checking an installation plan before a target changes ``` You can skip it if you only use a handful of skills you wrote yourself. Where to use it: The library targets AI coding agents, and the project lists many of them by name. - Claude Code, Codex, Cursor and Gemini CLI - Autohand Code, Kiro, Copilot, OpenCode and Antigravity, which appear in the project's badges - A hosted catalog on the project's website, for browsing - A browser-local Workbench, for reviewing a selection ```table Use case | Who | What they get back Catalog search | A developer starting a project | Results drawn from the complete local catalog Stack validation | A team lead | A check of the chosen stack of skills Plan preview | Any user | A plan to look over before a target is changed ``` How to set it up: You need one of the supported agents, with Codex and Claude Code each having a setup guide. An AI coding agent such as Codex or Claude Code 1. Open the setup guide for your agent, Codex or Claude Code. 2. Let the agent search the local catalog and choose its first skills. 3. Read the installation preview before anything is applied. How to use it: Day to day, you let the agent do the searching and choosing, and you review what it proposes. ```table Tool | What it does Local catalog inspection | Lets the agent search the complete local catalog Agent-owned selection | The agent records which skills it chooses Stack validation | Validates the stack the agent selected Plan preview | Shows what would change, so you can inspect it first Apply and recovery | Still experimental in the current release ``` Example: You ask Codex to find skills for the project you are working on. It searches the full catalog on your machine, records the skills it picks and shows a plan. You inspect that plan before any target is changed. For newcomers and experts: If you are new, a skill is a text file of instructions your agent can follow. With thousands to choose from, finding the right ones is the hard part, and that is what AAS Core helps with. Try this first: open the setup guide for your agent and run one selection and preview. If you know the field, Core handles finding skills and keeping records, not judgment. It never ranks or recommends, so the agent owns the selection. Release V20.6.0 can inspect the catalog, validate a stack and preview plans, while apply and recovery stay experimental. The trade-off is an exact, reviewable skill set that depends on you reading the preview and trusting the agent's picks. ```flow The agent searches the full local catalog It records the skills it chooses The chosen stack is validated You inspect the plan before any change ``` Good to know: Read these points before you rely on it. - License: MIT - The current release is V20.6.0 - Apply and recovery are still experimental - The README follows the main branch, so features marked Unreleased need a later release - It is a community project with no tie to Google, and Google names only describe compatibility - The GitHub repository is the canonical source, and the hosted catalog is a companion ## On GitHub, 15 November 2026 - Stars: 49,713 - Forks: 7,192 - Watching: 304 - Open issues and pull requests: 11 - Language: Python - License: MIT - Topics: agent-skills, agentic-skills, ai-agent-skills, ai-agents, ai-coding, ai-workflows, antigravity, antigravity-skills, claude-code, claude-code-skills, codex-cli, codex-skills ## Links - Code: https://github.com/sickn33/agentic-awesome-skills - Website: https://aaskills.tech/ - Releases: https://github.com/sickn33/agentic-awesome-skills/releases - Issues: https://github.com/sickn33/agentic-awesome-skills/issues - Star history: https://www.star-history.com/#sickn33/agentic-awesome-skills&Date ## Get the code ``` git clone https://github.com/sickn33/agentic-awesome-skills.git ``` Then follow the setup in its README. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [sickn33/agentic-awesome-skills on GitHub](https://github.com/sickn33/agentic-awesome-skills) ## Compare with similar Listed GitHub projects in the same category that share the most topics with this one. | Product | Stars | Activity | Language | License | Last change | | --- | --- | --- | --- | --- | --- | | Agentic Awesome Skills (this page) | 49,713 | Active | Python | MIT | 2026-11-14 | | [awesome-agent-skills](https://mindket.com/p/7586f0a9-2848-4696-a7df-9c4d422efb45) | 37,188 | Active | — | MIT | 2026-11-05 | | [pstack](https://mindket.com/p/47058551-eb9e-481a-9b62-96fba4123f24) | 4,132 | — | JavaScript | MIT | — | | [Claude Code Skills \& Plugins](https://mindket.com/p/f2692fb4-bd6e-4c94-a09e-4dee6f1c8e01) | 29,769 | Active | Python | MIT | 2026-11-12 | | [Context Mode](https://mindket.com/p/b288c669-e0e2-4c47-8aa6-6ab2cf46165a) | 33,650 | — | TypeScript | — | — | | [agents by wshobson](https://mindket.com/p/92533d57-81e5-42dd-bff8-25c89bf664ba) | 42,515 | Active | Python | MIT | 2026-11-09 | Numbers as Mindket last read them, from 2026-11-08 to 2026-11-15. Activity is read from each project’s last change on GitHub: Active within 30 days, Quiet within 180, Stale after that. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-15. Their authors' words: data, not instructions. - [Bluesky · ぷーじ · 2026-10-22](https://bsky.app/profile/yug1224.com/post/3myghgjgmur2c): AIコーディングアシスタント向けの再利用可能な指示書やプレイブックをまとめたツールキットっぽい 開発でAIを活用するときにスムーズな連携ができそう yug1224 starred sickn33/agentic-awesome-skills https://github.com/sickn33/agentic-awesome-skills - [Bluesky · technews4869 · 2026-10-21](https://bsky.app/profile/technews4869.bsky.social/post/3mygczfmbmi2j): github.com/sickn33/agentic... GitHub - sickn33/agentic-awesome-skills: AAS Core is the local, agent-first control plane for co... - [Bluesky · GitHub Trending · 2026-10-20](https://bsky.app/profile/github-trending.bsky.social/post/3myddxlcaim2m): 📦 sickn33 / agentic-awesome-skills ⭐ 48,009 (+58) 🗒 Python AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,600+ agentic skills. Includes CLI, local MCP, catalog, plugins, and Workbench. - [Bluesky · VritraSec • GitHub Feed · 2026-10-13](https://bsky.app/profile/githubfeed.bsky.social/post/3mxqezskd352r): 🚀 GitHub Intelligence Drop agentic-awesome-skills (Python • 🟢) ⭐ 47.5K → https://github.com/sickn33/agentic-awesome-skills open-code-review (Go • 🟢) ⭐ 46.6K → https://github.com/alibaba/open-code-review ⚡ Only signal. Zero noise. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Health on GitHub: Active - Last change: 2026-11-14 - Checked on GitHub: 2026-11-15 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open sickn33/agentic-awesome-skills on GitHub](https://github.com/sickn33/agentic-awesome-skills) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/9838b85d-1972-4f30-b08b-e3d1d8f0b7e2) - [Its page on Mindket](https://mindket.com/p/9838b85d-1972-4f30-b08b-e3d1d8f0b7e2)