Agent skill

Practice Cognition

by HughYau in HughYau/qiushi-skill

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。

MITAuto-check passed

Install Practice Cognition

skills CLI
$ npx skills add HughYau/qiushi-skill --skill practice-cognition -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install HughYau/qiushi-skill practice-cognition --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/HughYau/qiushi-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/practice-cognition .claude/skills/practice-cognition && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
practice-cognition
GitHub stars
3.8k
Token cost
~416 tokens
SKILL.md length
58 words
Files
2
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

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。

  • Works in 4 steps: 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。 → 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… → 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。 → …
  • A plan needs validation
  • SKILL.md covers 用 / 不用, 操作规程, 输出模板 and 纪律, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Practice Cognition is an agent skill from HughYau/qiushi-skill. 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.

Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `original-texts.md`).

The repository describes itself as: Qiushi-Skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done… The licence is MIT.

When your agent uses it

  • A plan needs validation
  • An attempt failed and must be retried
  • You notice thinking without doing (or doing without thinking)
  • Skip for one-shot outputs

Example prompts

  • “/practice-cognition”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit 5ace717. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Practice Cognition loads about 416 tokens when it runs. Until then it costs about 132 tokens; SKILL.md has 58 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~132
When it runs · the whole SKILL.md, loaded when a task matches
~416

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from HughYau/qiushi-skill at commit 5ace717, republished under its MIT licence (© HughYau). 58 words, ~416 tokens.

Download SKILL.mdSave it as .claude/skills/practice-cognition/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
practice-cognition
description
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.

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

© HughYau, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/practice-cognition of HughYau/qiushi-skill.

  • SKILL.md
  • original-texts.md

Open the folder on GitHubat commit 5ace717

Compare with similar skills

Practice Cognition next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Practice Cognition compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Practice Cognition this skillHughYau/qiushi-skill3.8k—~416Automated safety check: PassMIT
Cognitive Patternruvnet/ruflo74k—~384Automated safety check: NotesMIT
Mock Best Practicesthedaviddias/Front-End-Checklist74k—~425Automated safety check: PassMIT
Interactivity Best Practicesremotion-dev/remotion63k—~181Automated safety check: PassCustom licence
Dotnet Best Practicesgithub/awesome-copilot40k2 repos~808Automated safety check: PassMIT
Practiceccch1mneyyy/dsh-TUI4.2k—~356Automated safety check: PassMIT

Similar skills

  • Cognitive Pattern

    ruvnet/ruflo

    Define and manage cognitive patterns for agent reasoning and decision-making

    74k GitHub stars~384 tokensUpdated today
    Auto-check: notes
  • Mock Best Practices

    thedaviddias/Front-End-Checklist

    A skill your agent uses when reviewing CI coverage, automated checks, or test strategy related to Follow mocking best practices.

    74k GitHub stars~425 tokensUpdated 4 days ago
    Testing & QAAuto-check passed
  • Interactivity Best Practices

    remotion-dev/remotion

    Official

    Best practices for writing Remotion animations that stay intuitive for agents and editable in Remotion Studio Visual Mode.

    63k GitHub stars~181 tokensUpdated yesterday
    Media & CreativeAuto-check passed
  • Dotnet Best Practices

    github/awesome-copilot

    Official

    Ensure .NET/C code meets best practices for the solution/project.

    40k GitHub starsUsed in 2 repos~808 tokens
    DevelopmentAuto-check passed
  • Practice

    ccch1mneyyy/dsh-TUI

    Guide a programming exercise using dsh-tui or a topic the user wants to learn.

    4.2k GitHub stars~356 tokensUpdated today
    DevelopmentAuto-check passed
  • Heygen Best Practices

    davila7/claude-code-templates

    Best practices for HeyGen - AI avatar video creation API. An agent skill from davila7/claude-code-templates.

    33k GitHub stars~629 tokensUpdated today
    Media & CreativeAuto-check passed

More from HughYau/qiushi-skill

All 11 skills in this repo
  • Concentrate Forces

    HughYau/qiushi-skill

    集中兵力:多件事同时争抢时间、注意力或预算时,列出全部待办,选定唯一主攻目标并公开锁定,彻底解决、验证后再转向下一个。当待办过多、推进分散、"每件都做了一点但都没做完"、需要决定先做什么时触发;只有一个任务、任务彼此独立可并行、用户明确要求同时推进时不触发。

    3.8k GitHub stars~379 tokensUpdated 9 days ago
    Auto-check passed
  • Contradiction Analysis

    HughYau/qiushi-skill

    矛盾分析法:把复杂问题拆成若干对立面,找出规定其他矛盾的主要矛盾及其主要方面,判定对抗性 / 非对抗性,并据此选择处理方式。当问题头绪多、多个因素互相牵制、优先级不清、根因不明、反复修不好、trade-off 说不清时触发;直接执行类任务或用户已定方案时不触发。

    3.8k GitHub stars~485 tokensUpdated 9 days ago
    Auto-check passed
  • Criticism Self Criticism

    HughYau/qiushi-skill

    批评与自我批评:在工作完成、阶段验收、收到批评或同类错误反复出现时,对成果和过程做诚实、具体、基于事实的审视,输出可执行的改进项,并处理外来批评而不辩解。触发信号包括 review、复盘、审查、"帮我看看有没有问题"、"你确定吗";任务刚开始或只是单步查询时不触发。

    3.8k GitHub stars~423 tokensUpdated 9 days ago
    Auto-check passed
  • Investigation First

    HughYau/qiushi-skill

    调查研究:在下判断、做决策、给建议之前,先用第一手材料弄清现状,产出「事实 / 推断 / 未知」三栏调查结论。当上下文不完整、证据薄弱、领域陌生、用户说"先别动手"、或你发现自己在凭印象作答时触发;已充分调查后的执行阶段不要重复触发。

    3.8k GitHub stars~425 tokensUpdated 9 days ago
    Auto-check passed
  • Mass Line

    HughYau/qiushi-skill

    群众路线:从持有真实情况的多方(用户、使用者、代码库、日志、运行结果)收集分散意见,系统化为方案,再带回去对齐与检验,循环改进。当多方意见分歧、需要汇总零散反馈、方案要拿回给真实使用者确认、或你发觉自己在闭门造车时触发;信息源单一且完整、处于执行阶段时不触发。

    3.8k GitHub stars~467 tokensUpdated 9 days ago
    Auto-check passed
  • Overall Planning

    HughYau/qiushi-skill

    统筹兼顾:当多个目标、指标或利益方相互制约、优化一项会伤害另一项时,识别全部辩证关系对,检查片面性,为每对关系定出当前阶段的侧重与底线,评估系统性影响,并设失衡预警。触发信号包括 trade-off、目标冲突、速度 vs 质量、短期 vs 长期、"顾此失彼";只有单一目标、用户已定取舍、或属硬性二选一时不触发。

    3.8k GitHub stars~416 tokensUpdated 9 days ago
    Auto-check passed

Questions about Practice Cognition

What does Practice Cognition 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。. Practice Cognition is an agent skill from HughYau/qiushi-skill. 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.

When should I use Practice Cognition?

Practice Cognition fits situations like: A plan needs validation; an attempt failed and must be retried; you notice thinking without doing (or doing without thinking); skip for one-shot outputs.

How do I install Practice Cognition in Claude Code?

Run `npx skills add HughYau/qiushi-skill --skill practice-cognition -a claude-code`. Or copy the skill folder (skills/practice-cognition in HughYau/qiushi-skill) into .claude/skills/practice-cognition in your project. Claude Code loads it when a task matches its description.

How do I install Practice Cognition in Codex?

Run `npx skills add HughYau/qiushi-skill --skill practice-cognition -a codex`. Or copy the skill folder (skills/practice-cognition in HughYau/qiushi-skill) into .agents/skills/practice-cognition in your project. Codex loads it when a task matches its description.

Can I use Practice Cognition in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HughYau/qiushi-skill --skill practice-cognition -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/practice-cognition, .gemini/skills/practice-cognition, .github/skills/practice-cognition and .opencode/skills/practice-cognition in your project.

What does Practice Cognition need to run?

SKILL.md names no scripts, command-line tools or credentials: Practice Cognition is instructions for the agent only.

Does Practice Cognition access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Practice Cognition safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Practice Cognition use?

Practice Cognition is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Practice Cognition use?

About 416 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Practice Cognition?

Skills that share tags, products or a category with Practice Cognition: Cognitive Pattern (ruvnet/ruflo, 74k stars), Mock Best Practices (thedaviddias/Front-End-Checklist, 74k stars), Interactivity Best Practices (remotion-dev/remotion, 63k stars) and Dotnet Best Practices (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Practice Cognition?

HughYau (a GitHub user) maintains it in HughYau/qiushi-skill, which has 3,812 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 1, 2026.

Source: HughYau/qiushi-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.