Mindket

deepseek-stack

Newversion 1 · updated
Star222

Overview

Helps DeepSeek V4.1 Flash and V4 Pro plan, check their work and stop at a set point, so a cheaper model behaves more like a costly one. It suits developers using coding agents that read SKILL.md files.

deepseek-stack is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip.

At a glance

You need
  • Claude Code, Codex, Cline, OpenCode, PandaCode or another agent that reads SKILL.md files
  • A DeepSeek model such as V4.1 Flash or V4 Pro
  • Node, which provides npx
Runs in
  • Claude Code
  • Codex
  • Cline
  • OpenCode
Start with
npx skills add aicodeking/deepseek-stack

Platform

Claude CodeCoding agent
CodexCoding agent
ClineCoding agent
OpenCodeCoding agent

About

What it is

This kit is a set of agent skills that help DeepSeek models, V4.1 Flash and V4 Pro, behave like a far costlier model. Cheaper models tend to fail in four ways. They skip planning, declare a fix done before testing it, keep retrying a broken idea, and wander off course during long runs.

Each skill targets one of those gaps. It pairs a brief loop with a firm stopping rule and a requirement to show proof.

Who it suits

Developers who run DeepSeek V4.1 Flash or V4 Pro inside a coding agent and want steadier results.

IndustryWho uses itHow they use itExample
Software developmentDevelopers using DeepSeek models in a coding agentInstall the skills so the agent plans before it actsA developer on Cline with DeepSeek V4 Pro
Cost-conscious teamsTeams choosing cheaper modelsClose the gaps cheap models usually showA team trying a cheaper model for coding tasks
Long tasksDevelopers running long agent sessionsUse stop conditions to limit retries and driftA developer who has watched an agent repeat a failed idea

Anyone who does not use DeepSeek models can skip it, since the kit is built for them.

Where to use it

The kit works in any agent that reads SKILL.md files.

  • Claude Code
  • Codex
  • Cline
  • OpenCode
  • PandaCode and other agents that read SKILL.md files
Use caseWhoWhat they get back
Planning before codingA developer using a cheaper modelAn agent that makes a plan before it acts
Checking fixesA developer reviewing agent outputA fix backed by real evidence that it works
Breaking retry loopsA developer with a stuck agentA hard stop condition that ends repeated retries
Keeping long runs on trackA developer with long tasksAn agent less likely to drift off course

How to set it up

You need one of the agents above, a DeepSeek model, and Node so that npx works.

  • Claude Code, Codex, Cline, OpenCode, PandaCode or another agent that reads SKILL.md files
  • A DeepSeek model such as V4.1 Flash or V4 Pro
  • Node, which provides npx
  1. Check that Node is installed.
  2. Run the install command below.
  3. Open the README for the details of each skill.
npx skills add aicodeking/deepseek-stack

The kit does not run on its own, so you start each task through your agent.

How to use it

Use your agent with a DeepSeek model as you normally do. The skills shape how the model works, so it plans first, shows evidence and stops at its limit. The README describes each skill in detail.

Example

You ask your agent to fix a failing build. With the skills in place, it plans the fix, runs it and shows evidence that the build passes. If an idea keeps failing, it stops at the hard condition instead of retrying forever.

For newcomers and experts

If you use a cheaper model and have seen it declare success too soon, this kit is aimed at that. Install it, give your agent one small task, and watch whether it plans first and shows proof.

If you know how coding agents are built, each skill is a short loop with a hard stop and an evidence demand. They target four named failures: skipped planning, unverified fixes, endless retries and drift. Because they live in SKILL.md files, any agent that reads those files can use them.

  1. Plan the work before acting
  2. Work in a short loop
  3. Verify with real evidence
  4. Stop at the hard condition
  5. Ship the result

Good to know

  • License: MIT
  • Built for DeepSeek V4.1 Flash and V4 Pro
  • It relies on your agent to read the SKILL.md files
  • Author: aicodeking, on GitHub

README and files

README
# deepseek-stack

Helps DeepSeek V4.1 Flash and V4 Pro plan, check their work and stop at a set point, so a cheaper model behaves more like a costly one. It suits developers using coding agents that read SKILL.md files.

Made by aicodeking 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 kit is a set of agent skills that help DeepSeek models, V4.1 Flash and V4 Pro, behave like a far costlier model. Cheaper models tend to fail in four ways. They skip planning, declare a fix done before testing it, keep retrying a broken idea, and wander off course during long runs.

Each skill targets one of those gaps. It pairs a brief loop with a firm stopping rule and a requirement to show proof.

Who it suits: Developers who run DeepSeek V4.1 Flash or V4 Pro inside a coding agent and want steadier results.

```table
Industry | Who uses it | How they use it | Example
Software development | Developers using DeepSeek models in a coding agent | Install the skills so the agent plans before it acts | A developer on Cline with DeepSeek V4 Pro
Cost-conscious teams | Teams choosing cheaper models | Close the gaps cheap models usually show | A team trying a cheaper model for coding tasks
Long tasks | Developers running long agent sessions | Use stop conditions to limit retries and drift | A developer who has watched an agent repeat a failed idea
```

Anyone who does not use DeepSeek models can skip it, since the kit is built for them.

Where to use it: The kit works in any agent that reads SKILL.md files.

- Claude Code
- Codex
- Cline
- OpenCode
- PandaCode and other agents that read SKILL.md files

```table
Use case | Who | What they get back
Planning before coding | A developer using a cheaper model | An agent that makes a plan before it acts
Checking fixes | A developer reviewing agent output | A fix backed by real evidence that it works
Breaking retry loops | A developer with a stuck agent | A hard stop condition that ends repeated retries
Keeping long runs on track | A developer with long tasks | An agent less likely to drift off course
```

How to set it up: You need one of the agents above, a DeepSeek model, and Node so that npx works.

- Claude Code, Codex, Cline, OpenCode, PandaCode or another agent that reads SKILL.md files
- A DeepSeek model such as V4.1 Flash or V4 Pro
- Node, which provides npx

1. Check that Node is installed.
2. Run the install command below.
3. Open the README for the details of each skill.

```sh
npx skills add aicodeking/deepseek-stack
```

The kit does not run on its own, so you start each task through your agent.

How to use it: Use your agent with a DeepSeek model as you normally do. The skills shape how the model works, so it plans first, shows evidence and stops at its limit. The README describes each skill in detail.

Example: You ask your agent to fix a failing build. With the skills in place, it plans the fix, runs it and shows evidence that the build passes. If an idea keeps failing, it stops at the hard condition instead of retrying forever.

For newcomers and experts: If you use a cheaper model and have seen it declare success too soon, this kit is aimed at that. Install it, give your agent one small task, and watch whether it plans first and shows proof.

If you know how coding agents are built, each skill is a short loop with a hard stop and an evidence demand. They target four named failures: skipped planning, unverified fixes, endless retries and drift. Because they live in SKILL.md files, any agent that reads those files can use them.

```flow
Plan the work before acting
Work in a short loop
Verify with real evidence
Stop at the hard condition
Ship the result
```

Good to know:

- License: MIT
- Built for DeepSeek V4.1 Flash and V4 Pro
- It relies on your agent to read the SKILL.md files
- Author: aicodeking, on GitHub

## On GitHub, 8 November 2026

- Stars: 222
- Forks: 36
- Watching: 3
- Open issues and pull requests: 0
- Language: Python
- License: MIT
- Topics: agent-skills, claude-code, cline, deepseek, skills

## Links

- Code: https://github.com/aicodeking/deepseek-stack
- Releases: https://github.com/aicodeking/deepseek-stack/releases
- Issues: https://github.com/aicodeking/deepseek-stack/issues
- Star history: https://www.star-history.com/#aicodeking/deepseek-stack&Date

## Get the code

```
git clone https://github.com/aicodeking/deepseek-stack.git
```

Then follow the setup in its README. Nothing in this kit runs by itself.
Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-08

Compare with similar

Listed GitHub projects in the same category that share the most topics with this one.

ProductStarsActivityLanguageLicenseLast change
deepseek-stack This page222ActivePythonMIT
Agent SkillsShares skills · agent-skills · claude-code116,705ActiveJavaScriptMIT
BAMAShares skills · agent-skills · claude-code1,619ActiveSwiftMIT
Cheap AgentShares deepseek · claude-code310ActiveTypeScriptMIT
Microsoft Agent SkillsShares skills · agent-skills3,183——MIT—
Claude Code Plugins DirectoryShares skills · claude-code47,059ActivePythonApache-2.0
Numbers as Mindket last read them, from 2026-11-06 to 2026-11-13. Activity is read from each project’s last change on GitHub: Active within 30 days, Quiet within 180, Stale after that.

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