Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问许可证需确认审计通过

doc文档

Agent Skill

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。

总安装

840

周安装

17

GitHub Stars

公开资料未说明

下载量

140
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills