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Agent Skill · 研究检索

doc(文档)

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。

doc 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,权限为只读;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 45,550。

总安装 840周安装 17GitHub Stars 公开资料未说明下载 140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:doc(文档)
来源仓库:https://github.com/quickcall-dev/skills
仓库路径:skills/doc
安装命令:
npx skills add https://github.com/quickcall-dev/skills --skill doc
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/quickcall-dev/skills --skill doc

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。

quickcall-dev-skills-doc 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。适用于研究检索类任务,支持多宿主环境集成。

来源仓库内路径:skills/doc

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/quickcall-dev/skills --skill doc;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

doc 怎么安装?

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

doc 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。

doc 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

doc 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。

doc 用的人多吗?

公开数据是累计安装 840 次,近一周安装 17 次,下载 140 次。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。

doc 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
doc

文档 · 本页

840—只读未明确通过

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

Documentation Skill

Config-driven documentation scaffolding. Config lives inside the skill at config/defaults.yaml — no repo-root files needed.

Commands

CommandWhat to run
start <name>bash ${CLAUDE_SKILL_DIR}/scripts/start.sh "<name>"
expt <name>bash ${CLAUDE_SKILL_DIR}/scripts/expt.sh "<name>"
plan <index> <title>bash ${CLAUDE_SKILL_DIR}/scripts/plan.sh <index> "<title>"
finding <index> <title>bash ${CLAUDE_SKILL_DIR}/scripts/finding.sh <index> "<title>"
ckpt <index> <description>bash ${CLAUDE_SKILL_DIR}/scripts/ckpt.sh <index> "<description>"
research <index> <topic>bash ${CLAUDE_SKILL_DIR}/scripts/research.sh <index> "<topic>"
review <index> <title>bash ${CLAUDE_SKILL_DIR}/scripts/review.sh <index> "<title>"
learn <index> <domain> <title>bash ${CLAUDE_SKILL_DIR}/scripts/learn.sh <index> "<domain>" "<title>"
listbash ${CLAUDE_SKILL_DIR}/scripts/list.sh
status <index>bash ${CLAUDE_SKILL_DIR}/scripts/status.sh <index>
resume <index>bash ${CLAUDE_SKILL_DIR}/scripts/resume.sh <index>

start = scaffold docs/ + create experiment. Use this when beginning new work. expt = create experiment only. Use when docs/ already exists.

Agent Behavior — READ THIS

You are responsible for tracking the active experiment per conversation. When the user creates an experiment or references one, remember its index. Pass it to every script call — scripts are stateless and parallel-safe.

When to use each command

User says...You do...
"Let's investigate X" / starts new work/doc start "<name>" — remember the returned index
"Plan this" / "How should we approach"/doc plan <idx> "<title>" then write plan content into the created file
User enters plan modeSTOP. Do NOT use .claude/plan.md. Instead run /doc plan <idx> "<title>" and write directly there. Plans live in experiment folders, never in ephemeral storage.
You discover something significant/doc finding <idx> "<title>" then write finding content
Conversation wrapping up / context switch/doc ckpt <idx> "<short-label>" — short label only (2-5 words), then write body content into the file with What/Why/How + mermaid diagram. Do this automatically without being asked.
"Research X" / "Look into Y"/doc research <idx> "<topic>" — write prompt, do research, write results
"Review X" / "Check this output"/doc review <idx> "<title>" then write review content with verdict
"Remember this" / "Key learning"/doc learn <idx> <domain> "<title>" — write distilled insight
"Continue experiment 19" / "Pick up"/doc resume <idx> — reads meta + latest plan + latest checkpoint. Set as active for this conversation.
"What experiments exist?"/doc list
"What's the state of experiment 19?"/doc status <idx>

Context resolution (when user doesn't give an index)

  1. Experiment created or resumed in this conversation → use it
  2. User referenced one by name/number → use it
  3. User's request clearly relates to one experiment → use it
  4. Ambiguous → ask: "Which experiment?" then run /doc list to show options

You resolve context. Scripts just take a number.

Auto-behaviors

  • Checkpoint automatically at natural stopping points — end of conversation, before context switch, after a milestone. Don't wait to be asked.
  • Plans go in experiments. NEVER write plans to .claude/plan.md or any ephemeral storage. ALWAYS use /doc plan.
  • Never overwrite. Always create new numbered files. Plans evolve: 01, 02, 03.
  • Resume before continuing. When picking up an existing experiment, run /doc resume first to load context.

Checkpoint content — MANDATORY

The ckpt command arg is a short label (2-5 words), NOT the checkpoint content. After the script creates the file, you MUST write the body into it using this structure:

graph LR A[Starting state] --> B[What was done] B --> C[Current state] C --> D[Next steps]


## What
What was accomplished. Bullet points, brief.

## Key Takeaways
Surprising findings, confirmed/rejected hypotheses, numbers that matter.

## Issues
Blockers hit, workarounds used, unresolved problems. Include error messages if relevant.

## Decisions
Key choices made and why. What was considered and rejected.

## Next
Concrete next steps with enough detail that a new agent can pick up cold.
Include file paths, command examples, and what to watch out for.

The checkpoint must contain everything a fresh agent needs to continue the work without asking questions. Be brief but complete — file paths, key numbers, what worked, what didn't.

DO NOT cram content into the description argument. Keep the arg short: /doc ckpt 7 "v1 analysis complete" then edit the file.

Experiment Structure

experiments/NNN-{name}/
├── .meta.json          auto-updated by scripts
├── plans/              multiple plans, numbered
├── findings/           multiple findings, numbered
├── checkpoints/        progress snapshots, numbered
├── review/             structured reviews, numbered
└── research/           prompt + response pairs, numbered

Setup

/doc start my-investigation — that's it. Scaffolds docs/ and creates the first experiment.

To customize folder structure or naming: edit config/defaults.yaml inside the skill.

Rules

  1. Scripts only create empty templates (frontmatter + headings). YOU must write the actual content into the file after the script runs. Never treat the script call as the finished step.
  2. Always use the scripts for file creation. Never manually create experiment dirs or edit .meta.json.
  3. Index is just the number. 23 not 023 not 023-docs-and-structs.
  4. No auto-commit. Scripts scaffold files — you or the user decide when to commit.
  5. Plans go in experiments. Never in .claude/plan.md. This is non-negotiable.
  6. Files are immutable. Don't edit old plans/findings — create a new numbered one.
  7. Valid learnings domains are listed in config/defaults.yaml. learn will error on invalid domains.
  8. Keep titles short. Titles become filenames. Use 2-5 words max — concise and descriptive. "auth-flow" not "investigation-into-authentication-flow-reliability-issues". The numbering prefix handles ordering; the title just needs to identify the topic at a glance.

$ARGUMENTS

平台分布

Codex

38.5%
按下载量换算54

Claude

29.15%
按下载量换算41

Cursor

17.23%
按下载量换算24

Gemini CLI

9%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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