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Agent Skill · 研究检索

docs-keeper(文档管理员)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

docs-keeper 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 64,379。

总安装 303周安装 13GitHub Stars 2下载 106核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:docs-keeper(文档管理员)
来源仓库:https://github.com/uinaf/skills
仓库路径:skills/docs-keeper
安装命令:
npx skills add https://github.com/uinaf/skills --skill docs-keeper
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/uinaf/skills --skill docs-keeper

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于维护项目文档清晰区分人类与 Agent 职责的管理工具。包含项目计划、假设跟踪和会话笔记等结构化存储。适用于需要长期维护复杂项目的团队协作场景。docs-keeper 属于研究检索类 Skill,可作为该场景下的辅助能力补充。推荐使用 AGENTS.md 作为 Agent 专属指令文件。

支持 YYYYMMDD-HHMM-slug.md 格式的会话记录归档。

来源仓库内路径:skills/docs-keeper

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/uinaf/skills --skill docs-keeper;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

docs-keeper 怎么安装?

在终端执行 npx skills add https://github.com/uinaf/skills --skill docs-keeper。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

docs-keeper 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

docs-keeper 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

docs-keeper 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

docs-keeper 用的人多吗?

公开数据是累计安装 303 次,近一周安装 13 次,下载 106 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

docs-keeper 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
docs-keeper

文档管理员 · 本页

3032需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

docs-keeper

Maintain project documentation with clear human/agent separation. Includes planning workflow.

Project Structure

project/
  README.md              ← project entrypoint (human-facing)
  AGENTS.md              ← agent instructions (project-specific)
  CLAUDE.md              ← symlink → AGENTS.md
  docs/
    ARCHITECTURE.md      ← human: high-level design, domain concepts
    *.md                 ← human: guides, ADRs, onboarding
    agents/
      PLAN.md            ← agent: living project plan
      ASSUMPTIONS.md     ← agent: tracked assumptions
      notes/             ← agent: session notes
        YYYYMMDD-HHMM-slug.md

Project root

  • README.md — canonical project entrypoint (setup, usage, status).
  • AGENTS.md — project-specific agent instructions. Tech stack, commands, conventions, gotchas. Keep under 150 lines.
  • CLAUDE.md — always a symlink to AGENTS.md. Ensure this exists: ln -sf AGENTS.md CLAUDE.md

Human zone (docs/*.md)

Written by humans, maintained by humans. Agents read these but don't edit unless explicitly asked.

  • README.md at project root is the primary project overview.
  • docs/ARCHITECTURE.md — high-level design. Describe capabilities and domain concepts, not file paths.
  • Other docs as needed: ADRs, API guides, onboarding.

Agent zone (docs/agents/)

Written and maintained by agents. Committed to git. Survives context windows and agent rotations.

  • PLAN.md — the living project plan (see Planning below)
  • ASSUMPTIONS.md — document assumptions before acting. Update as confirmed or invalidated.
  • notes/ — timestamped session notes (see Session Notes below)

Planning

Before any multi-step work, create or update docs/agents/PLAN.md.

Brainstorming (before the plan)

Don't jump into planning. Understand first:

  1. Explore context — read existing docs, code, recent commits
  2. Ask clarifying questions — one at a time, understand purpose/constraints/success criteria
  3. Propose 2-3 approaches — with trade-offs and your recommendation
  4. Present design in sections — scaled to complexity, get approval after each section
  5. Save design — write validated design to docs/agents/PLAN.md

Do NOT write code until the design is approved. Every project goes through this, even "simple" ones. Simple projects are where unexamined assumptions waste the most work.

Plan format

Plans are bite-sized tasks. Each task is one action (2-5 minutes):

# [Feature] Implementation Plan

**Goal:** One sentence.
**Approach:** 2-3 sentences.
**Tech:** Key technologies/libraries.

---

### Task 1: [Component]

**Files:**
- Create: `exact/path/to/file.go`
- Modify: `exact/path/to/existing.go`
- Test: `exact/path/to/file_test.go`

**Steps:**
1. Write failing test
2. Run test, verify it fails
3. Write minimal implementation
4. Run test, verify it passes
5. Commit

**Verify:** `go test ./... -run TestSpecificThing`

Rules:

  • Exact file paths, always
  • Complete code in plan (not "add validation")
  • Exact commands with expected output
  • Each step is one action, not a paragraph

Execution

Execute plans in batches (3 tasks at a time):

  1. Follow each step exactly
  2. Run verifications as specified
  3. After each batch: report what was done, show verification output, wait for feedback
  4. Apply feedback, continue next batch

Stop and ask when:

  • Hit a blocker (missing dep, test fails, instruction unclear)
  • Plan has gaps
  • Verification fails repeatedly
  • Don't guess through blockers

Session Notes

Write notes to docs/agents/notes/YYYYMMDD-HHMM-slug.md when you learn something worth preserving:

  • Lessons learned from debugging
  • Architecture decisions and rationale
  • Failed approaches and why they didn't work
  • Investigation findings (API quirks, library gotchas)
  • Mistakes and how to avoid them

Keep notes concise. Future agents read these for context.


Session Discipline

Start: Read docs/agents/PLAN.md and AGENTS.md.

End: Update plan if anything changed. Write a note if you learned something.


Keeper Behavior

When invoked as docs-keeper (or when documentation is stale):

  1. Ensure structure — AGENTS.md exists, CLAUDE.md is symlinked, docs/agents/ exists
  2. Audit — check all docs exist, are accurate, aren't contradicting code
  3. Fix — update what you can (agents zone only, unless asked for human zone)
  4. Flag — report what needs human attention
  5. Trim — AGENTS.md should stay under 150 lines. Move overflow to docs/

Rules

  • One code example beats three paragraphs
  • Describe capabilities, not file paths (paths go stale)
  • Don't document what agents already know (language syntax, common patterns)
  • Create docs/agents/ and subdirectories if they don't exist
  • Never edit human zone docs without explicit permission

平台分布

Codex

36.61%
按下载量换算39

Claude

33.19%
按下载量换算35

Cursor

18.78%
按下载量换算20

Gemini CLI

9.29%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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