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Practice Cognition

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HughYau
practice-cognition

实践认识论:把方案、假说或判断放回实践中检验,按「实践 → 认识 → 再实践」螺旋迭代,并在开始前写明循环终止条件。当你提出了假说要验证、一次尝试失败要复盘再来、发现自己只想不做或只做不想时触发;一次性输出、答案可直接查阅、还没形成假说(先调查)时不触发。 English: Practice-cognition loop. Test a hypothesis or plan in practice, learn from the result, and iterate in a rising spiral with an explicit stop condition. Trigger when a plan needs validation, an attempt failed and must be retried, or you notice thinking without doing (or doing without thinking); skip for one-shot outputs, lookup questions, or before any hypothesis exists.

Overview

PublisherHughYau
Repositoryqiushi-skill
Skill namepractice-cognition
Stars
3.8K
Forks
285
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by HughYau on GitHub. Read the source before you install it.

Installation

Install the Practice Cognition AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/HughYau/qiushi-skill.git /tmp/qiushi-skill
mkdir -p .claude/skills
cp -r /tmp/qiushi-skill/skills/practice-cognition .claude/skills/practice-cognition
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Practice Cognition in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Practice Cognition on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Practice Cognition is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

实践认识论

"实践、认识、再实践、再认识,这种形式,循环往复以至无穷,而实践和认识之每一循环的内容,都比较地进到了高一级的程度。这就是辩证唯物论的全部认识论,这就是辩证唯物论的知行统一观。" —— 《实践论》

用 / 不用

用:

  • 提出了方案或假说,需要验证其正确性
  • 上一轮尝试失败,需要总结后进入下一轮
  • 只在"想"没有在"做"(教条主义),或只在"做"没有在"想"(经验主义)
  • 需要判定方案是否可行,却没有实践证据

不用:

  • 一次性输出(写封邮件),无需迭代
  • 答案可以直接查阅(文档、API 参考)
  • 还没有假说 → 先 investigation-first

操作规程

进入时先声明所处阶段,并写出终止条件;每轮按四步走。

0. 终止条件(开始前必须写):「当 [具体可观测条件] 时,本轮循环完成;最多 [N] 轮,超过则停下向用户汇报。」

  1. 感性认识:直接接触对象。读代码、跑程序、看输出,记录具体事实,不急于下结论。
  2. 理性认识:从材料中提炼规律,写成可证伪的假说:「我的假说是:……。如果成立,应能观察到 ……;如果不成立,会看到 ……。」
  3. 实践验证:执行验证动作(运行、测试、对比),如实记录观察结果 vs 预期。
  4. 评估与升华
    • 成立 → 写「本轮学到:……」,进入更高一轮或终止
    • 不成立 → 认识有误,修正假说回到第 1 步;不解释成偶然
    • 部分成立 → 说清哪部分成立、哪部分要修

输出模板

我目前处于:感性认识 / 理性认识 / 实践验证 / 总结升华
终止条件:当 …… 时完成;最多 N 轮

假说:……
预期:成立则 ……;不成立则 ……
验证动作:……
观察结果:……
判定:成立 / 不成立 / 部分成立
本轮学到:……;下一轮将:……

纪律

  • 禁止把"感觉对""理论上应该对"当作验证通过。
  • 禁止未验证就实现假说的下游内容。
  • 禁止因喜欢某方案把失败解释成偶然,也禁止因一次碰壁否定全部经验。
  • 不写终止条件不得开始循环。

交接

  • 每轮结束的总结就是自我批评;整体完成后 → criticism-self-criticism
  • 验证中暴露出多头矛盾 → contradiction-analysis
  • 需要从真实使用者获取反馈 → mass-line

原著依据:original-texts.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Practice Cognition AI skill do?

实践认识论:把方案、假说或判断放回实践中检验,按「实践 → 认识 → 再实践」螺旋迭代,并在开始前写明循环终止条件。当你提出了假说要验证、一次尝试失败要复盘再来、发现自己只想不做或只做不想时触发;一次性输出、答案可直接查阅、还没形成假说(先调查)时不触发。 English: Practice-cognition loop. Test a hypothesis or plan in practice, learn from the result, and iterate in a rising spiral with an explicit stop condition. Trigger when a plan needs validation, an attempt failed and must be retried, or you notice thinking without doing (or doing without thinking); skip for one-shot outputs, lookup questions, or before any hypothesis exists.

Why use Practice Cognition on TypingMind?

Because you install it once and use it with any model. Practice Cognition is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Practice Cognition in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HughYau/qiushi-skill/tree/main/skills/practice-cognition. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Practice Cognition?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Practice Cognition?

As many as you like. As long as a model supports skills, you can use Practice Cognition with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Practice Cognition AI skill free?

Yes. It is published on GitHub by HughYau under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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