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Docs Retro

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qshanx
docs-retro

从对话、文档变更及审计记录中复盘文档管理的问题和经验,减少资料难找、同步遗漏、重复维护和旧说明误用。用户要求“复盘文档管理”“为什么文档总漏更新”“总结文档治理经验”,或项目约定文档管理阶段复盘时使用;默认只读,输出有证据、适用条件和落点的改进建议。

Overview

Publisherqshanx
Repositorydocs-governance
Skill namedocs-retro
Stars
228
Forks
4
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Docs Retro 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.
    https://github.com/qshanx/docs-governance/tree/main/skills/documentation/docs-retro
  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/qshanx/docs-governance.git /tmp/docs-governance
mkdir -p .claude/skills
cp -r /tmp/docs-governance/skills/documentation/docs-retro .claude/skills/docs-retro
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Docs Retro 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 Docs Retro 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 Docs Retro 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.

文档管理复盘

追查文档问题为什么发生、为什么重复,提炼有效的管理办法。用户要求或项目约定时执行;同类问题反复出现时可建议复盘,不默认每轮总结。维护负责同步当前内容,审计负责发现问题,本 Skill 改进产生这些结果的管理方式。

1. 找到相关记录

明确复盘的文档问题或阶段;未指定时只看当前任务中的文档管理过程。按问题、文档或关键词检索对话、文档变更、审计发现和项目历史记录,再沿链接读取相关 PR、Issue 与验证证据,不全量加载历史。

说明实际读取范围与缺失材料。业务故障、代码设计和领域经验只有在解释文档管理问题时才作为背景,不扩展为通用项目复盘。

2. 找值得留下的经验

沿以下六个方向找候选,不要求每次凑齐:

方向从记录中追问值得留下什么
文档写法用户为什么反复纠正说明?是否含糊、冗长或缺少适用条件?已确认有效的写法与适用范围
查找与导航为什么反复搜索、找错文档?分类、命名或入口哪里失效?归类与导航改进
同步遗漏为什么改了功能却漏更新资料?触发、影响检索还是交接漏了?同步时机、范围及交接改进
主源与历史为什么多份说明冲突、旧方案被当成现状?主源、引用及状态区分办法
审计遗漏为什么已有检查没发现问题?是覆盖不足、未执行还是判定不准?检查范围、方法或执行入口改进
有效做法哪种写法、组织或检查实际减少了查找、遗漏和返工?有证据的可复用做法与使用条件

3. 判断是否可复用

对照原始记录、已确认的文档约定和现有措施,区分已证实的问题、原因假设与有效经验。已有机制先查是否未接入或失效,不因一次失误就新增永久规则或重复检查。

只保留能改善下次文档管理的经验,合并重复;证据不足列待验证建议,没有新发现就不新增内容。曾经有效的办法也要核对当前条件,保留历史依据。

4. 给出具体改法

按影响排序,结合证据与适用条件,定位项目现有文档或管理流程的具体文件、章节或步骤,说明增加、修改或删除什么,给出简短修改草稿和下次验证办法。已有规则足够时,指出未执行的环节,不重复加规则。沿用已有主记录:

  • 写作与归类改进 → 现有写作约定或主题入口;常驻入口按 agent-entrypoints 取舍。
  • 导航与资料定位经验 → CLAUDE_MAP.md,更新“什么时候读、去哪里找”的指针,正文留在对应文档。
  • 同步与审计改进 → 现有维护流程、审计规则或检查入口;指出具体位置和何时执行,不另造一套流程。
  • 重要改进事件 → 项目约定的历史主源;已有 LOG 按约定追加索引,否则复用 PR/Issue/决策或能承载原因、依据和版本的 Git 记录,不另建流水,保留原有历史。经验正文只维护一处。

例如:确认漏更接入指南是缺少导航后,在 CLAUDE_MAP.md 的接口入口补“修改接口时,读取〈项目实际接入指南路径〉并核对调用示例”。草稿中的路径须替换为已找到的文件;下次接口变更时验证能否找到并同步该指南。

默认在回复交付建议;获准后落实到对应位置,新增检查或外部任务须在授权范围内。完成时说明范围与缺口,区分建议、已落实和已验证;写入文档不等于效果已验证,不默认另建报告、MEMORY 或 Skill。

Frequently asked questions

What does the Docs Retro AI skill do?

从对话、文档变更及审计记录中复盘文档管理的问题和经验,减少资料难找、同步遗漏、重复维护和旧说明误用。用户要求“复盘文档管理”“为什么文档总漏更新”“总结文档治理经验”,或项目约定文档管理阶段复盘时使用;默认只读,输出有证据、适用条件和落点的改进建议。

Why use Docs Retro on TypingMind?

Because you install it once and use it with any model. Docs Retro 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 Docs Retro in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/qshanx/docs-governance/tree/main/skills/documentation/docs-retro. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Docs Retro?

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 Docs Retro?

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

Is the Docs Retro AI skill free?

Yes. It is published on GitHub by qshanx 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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