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doc-coauthoring文档共同创作

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

303

周安装

13

GitHub Stars

公开资料未说明

下载量

106
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

MIT

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-coauthoring(文档共同创作)
来源仓库:https://github.com/5dlabs/cto
仓库路径:skills/doc-coauthoring
安装命令:
npx skills add 5dlabs/cto --skill "doc-coauthoring"
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。

AgentSkills.tonpx skills
npx skills add 5dlabs/cto --skill "doc-coauthoring"

简介

doc-coauthoring 用于文档协同编写与结构优化。

  • 适用于 README 完善、API 文档生成或用户指南撰写场景。
  • 通过 npx skills add 5dlabs/cto --skill "doc-coauthoring" 安装,建议保留原始事实不虚构内容。
  • 使用前需统一术语表和风格指南。
  • 应避免过度营销表述保持专业克制。

SKILL.md

Document Co-Authoring Workflow

Guide users through collaborative document creation using three stages: Context Gathering, Refinement & Structure, and Reader Testing.

When to Offer This Workflow

Trigger conditions:

  • Writing documentation, proposals, specs, decision docs, RFCs
  • Substantial writing tasks (not quick notes)
  • Content that will be read by others

Offer the workflow upfront: Explain the three stages and ask if they want this structured approach or prefer freeform.

Stage 1: Context Gathering

Goal: Close the gap between what the user knows and what you know.

Initial Questions

Ask for meta-context (user can answer in shorthand):

  1. What type of document is this? (tech spec, decision doc, proposal)
  2. Who's the primary audience?
  3. What's the desired impact when someone reads this?
  4. Is there a template or format to follow?
  5. Any other constraints or context?

Info Dumping

Encourage the user to dump all context they have:

  • Background on the project/problem
  • Related discussions or documents
  • Why alternatives aren't being used
  • Organizational context
  • Timeline pressures
  • Technical architecture

Tell them: "Don't worry about organizing it - just get it all out."

Clarifying Questions

After initial dump, generate 5-10 numbered questions based on gaps:

1. What's the timeline for this decision?
2. Who are the key stakeholders who need to approve?
3. What happened when you tried approach X?
...

User can answer in shorthand: "1: end of Q1, 2: eng leads + PM, 3: see #channel-name"

Exit condition: Questions show understanding - you can ask about edge cases and trade-offs without needing basics explained.

Stage 2: Refinement & Structure

Goal: Build the document section by section through brainstorming, curation, and iterative refinement.

Process for Each Section

  1. Clarifying Questions - Ask 5-10 questions about what should be included
  2. Brainstorming - Generate 5-20 numbered options based on section complexity
  3. Curation - User indicates what to keep/remove/combine:

- "Keep 1,4,7,9" - "Remove 3 (duplicates 1)" - "Combine 11 and 12"

  1. Gap Check - Ask if anything important is missing
  2. Drafting - Write the section based on selections
  3. Iteration - Refine through surgical edits until satisfied

Section Ordering

Start with whichever section has the most unknowns:

  • Decision docs: Usually the core proposal
  • Specs: Usually the technical approach
  • PRDs: Usually the problem statement

Leave summary sections for last.

Key Instruction for Users

Instead of editing the doc directly, have them indicate what to change:

  • "Remove the X bullet - already covered by Y"
  • "Make the third paragraph more concise"
  • "Move section 3 before section 2"

This helps learn their style for future sections.

Quality Checking

After 3 consecutive iterations with no substantial changes, ask:

"Can anything be removed without losing important information?"

Stage 3: Reader Testing

Goal: Test the document with a fresh perspective to catch blind spots.

Step 1: Predict Reader Questions

Generate 5-10 questions readers might ask when discovering this document:

  • What would they type into search?
  • What would they ask Claude.ai?

Step 2: Test with Fresh Context

If sub-agents available: Invoke a sub-agent with just the document content and each question. Summarize what it got right/wrong.

If no sub-agents: Have user open fresh Claude conversation, paste document, ask the predicted questions. Report back what Reader Claude struggled with.

Step 3: Additional Checks

Ask (or have Reader Claude check):

  • "What in this doc might be ambiguous to readers?"
  • "What knowledge does this doc assume readers already have?"
  • "Are there internal contradictions or inconsistencies?"

Step 4: Fix Blind Spots

For each issue found, loop back to Stage 2 refinement for that section.

Exit condition: Reader Claude consistently answers questions correctly and doesn't surface new gaps.

Final Review

When Reader Testing passes:

  1. Recommend they do a final read-through themselves
  2. Suggest double-checking facts, links, technical details
  3. Ask them to verify it achieves the intended impact

Final tips:

  • Consider linking this conversation in an appendix
  • Use appendices for depth without bloating main doc
  • Update as feedback comes from real readers

Handling Deviations

SituationResponse
User wants to skip a stageAsk if they want to skip and write freeform
User seems frustratedAcknowledge time investment, suggest faster path
Missing context on something mentionedAsk proactively, don't let gaps accumulate
User edits doc directlyNote changes, incorporate preferences for future sections

Tips for Effectiveness

  • Be direct and procedural
  • Explain rationale briefly when it affects behavior
  • Don't try to "sell" the approach - just execute it
  • Give user agency to adjust the process
  • Quality over speed - each iteration should make meaningful improvements

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

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

Claude Code

29.61%
按下载量换算31

windsurf

21.48%
按下载量换算23

trae

19.22%
按下载量换算20

OpenCode

11.88%
按下载量换算13

Codex

8.09%
按下载量换算9

Antigravity

3.32%
按下载量换算4

安全审计

暂无安全审计结果可展示。

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

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