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doc-coauthoring文档共同创作

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

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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-coauthoring(文档共同创作)
来源仓库:https://github.com/aws-samples/sample-strands-agent-with-agentcore
仓库路径:skills/doc-coauthoring
安装命令:
npx skills add https://github.com/aws-samples/sample-strands-agent-with-agentcore --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。

skills.shnpx skills
npx skills add https://github.com/aws-samples/sample-strands-agent-with-agentcore --skill doc-coauthoring

简介

用于引导用户完成协作文档的创作流程,包含上下文收集与结构优化阶段。

  • 它适合让 Agent 主动发起写作引导对话,逐步完善 PRD、设计文档或决策记录等内容。
  • 使用时需在初始阶段明确文档类型与目标读者,系统将提供三段式写作框架支持。
  • 安装需通过 npx skills add 命令从 aws-samples/sample-strands-agent-with-agentcore 仓库添加 doc-coauthoring 技能。
  • 最终输出结果需经人工审阅确认,AI 仅作为结构化写作助手而非最终责任人。

SKILL.md

Doc Co-Authoring Workflow

This skill provides a structured workflow for guiding users through collaborative document creation. Act as an active guide, walking users through three stages: Context Gathering, Refinement & Structure, and Reader Testing.

When to Offer This Workflow

Trigger conditions:

  • User mentions writing documentation: "write a doc", "draft a proposal", "create a spec", "write up"
  • User mentions specific doc types: "PRD", "design doc", "decision doc", "RFC"
  • User seems to be starting a substantial writing task

Initial offer: Offer the user a structured workflow for co-authoring the document. Explain the three stages:

  1. Context Gathering: User provides all relevant context while you ask clarifying questions
  2. Refinement & Structure: Iteratively build each section through brainstorming and editing
  3. Reader Testing: Test the doc with a fresh session (no context) to catch blind spots before others read it

Ask if they want to try this workflow or prefer to work freeform.

If user declines, work freeform. If user accepts, proceed to Stage 1.

Stage 1: Context Gathering

Goal: Close the gap between what the user knows and what you know, enabling smart guidance later.

Initial Questions

Start by asking the user for meta-context about the document:

  1. What type of document is this? (e.g., technical 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 specific format to follow?
  5. Any other constraints or context to know?

Inform them they can answer in shorthand or dump information however works best for them.

If user provides a template or mentions a doc type:

  • Ask if they have a template document to share
  • If they provide a link to a shared document, use available tools to fetch it
  • If they provide a file, read it

If user mentions editing an existing shared document:

  • Use available tools to read the current state
  • Check for images without alt-text
  • If images exist without alt-text, explain that AI readers won't be able to interpret them. Ask if they want alt-text generated.

Info Dumping

Once initial questions are answered, encourage the user to dump all the context they have. Request information such as:

  • Background on the project/problem
  • Related team discussions or shared documents
  • Why alternative solutions aren't being used
  • Organizational context (team dynamics, past incidents, politics)
  • Timeline pressures or constraints
  • Technical architecture or dependencies
  • Stakeholder concerns

Advise them not to worry about organizing it - just get it all out. Offer multiple ways to provide context:

  • Info dump stream-of-consciousness
  • Point to team channels or threads to read
  • Link to shared documents

If tools are available for fetching external content (web search, URL fetcher, etc.), mention that these can be used to pull in context directly. Otherwise, ask the user to paste the relevant content.

Inform them clarifying questions will be asked once they've done their initial dump.

During context gathering:

  • If user mentions team channels or shared documents:

- If relevant tools are available: Inform them the content will be read now, then fetch it - If no tools available: Ask them to paste the relevant content directly

  • If user mentions entities/projects that are unknown:

- Ask if available tools should be used to search for more context - Wait for user confirmation before searching

  • As user provides context, track what's being learned and what's still unclear

Asking clarifying questions:

When user signals they've done their initial dump (or after substantial context provided), ask clarifying questions to ensure understanding:

Generate 5-10 numbered questions based on gaps in the context.

Inform them they can use shorthand to answer (e.g., "1: yes, 2: see #channel, 3: no because backwards compat"), link to more docs, or just keep info-dumping. Whatever's most efficient for them.

Exit condition: Sufficient context has been gathered when questions show understanding - when edge cases and trade-offs can be asked about without needing basics explained.

Transition: Ask if there's any more context they want to provide at this stage, or if it's time to move on to drafting the document.

If user wants to add more, let them. When ready, proceed to Stage 2.

Stage 2: Refinement & Structure

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

Instructions to user: Explain that the document will be built section by section. For each section:

  1. Clarifying questions will be asked about what to include
  2. 5-20 options will be brainstormed
  3. User will indicate what to keep/remove/combine
  4. The section will be drafted
  5. It will be refined through surgical edits

Start with whichever section has the most unknowns (usually the core decision/proposal), then work through the rest.

Section ordering:

If the document structure is clear: Ask which section they'd like to start with.

Suggest starting with whichever section has the most unknowns. For decision docs, that's usually the core proposal. For specs, it's typically the technical approach. Summary sections are best left for last.

If user doesn't know what sections they need: Based on the type of document and template, suggest 3-5 sections appropriate for the doc type.

Ask if this structure works, or if they want to adjust it.

Once structure is agreed:

Create the initial document structure with placeholder text for all sections.

If the user wants a Word document, use the word-documents skill to create a.docx file with section headers and placeholder text. Otherwise, draft the structure directly in the conversation.

For each section:

Step 1: Clarifying Questions

Announce work will begin on the [SECTION NAME] section. Ask 5-10 clarifying questions about what should be included:

Generate 5-10 specific questions based on context and section purpose.

Inform them they can answer in shorthand or just indicate what's important to cover.

Step 2: Brainstorming

For the [SECTION NAME] section, brainstorm [5-20] things that might be included, depending on the section's complexity. Look for:

  • Context shared that might have been forgotten
  • Angles or considerations not yet mentioned

Generate 5-20 numbered options based on section complexity. At the end, offer to brainstorm more if they want additional options.

Step 3: Curation

Ask which points should be kept, removed, or combined. Request brief justifications to help learn priorities for the next sections.

Provide examples:

  • "Keep 1,4,7,9"
  • "Remove 3 (duplicates 1)"
  • "Remove 6 (audience already knows this)"
  • "Combine 11 and 12"

If user gives freeform feedback (e.g., "looks good" or "I like most of it but...") instead of numbered selections, extract their preferences and proceed. Parse what they want kept/removed/changed and apply it.

Step 4: Gap Check

Based on what they've selected, ask if there's anything important missing for the [SECTION NAME] section.

Step 5: Drafting

Draft the section based on the curated points.

If working with a document file, update the relevant section. If working in conversation, present the drafted section clearly.

Ask them to read through it and indicate what to change. Note that being specific helps learning for the next sections.

Key instruction for user (include when drafting the first section): Provide a note: Instead of editing the doc directly, ask them to indicate what to change. This helps learning of their style for future sections. For example: "Remove the X bullet - already covered by Y" or "Make the third paragraph more concise".

Step 6: Iterative Refinement

As user provides feedback:

  • Make targeted edits (never reprint the whole doc unless requested)
  • After each edit, confirm completion
  • If user edits doc directly and asks to read it: mentally note the changes they made and keep them in mind for future sections (this shows their preferences)

Continue iterating until user is satisfied with the section.

Quality Checking

After 3 consecutive iterations with no substantial changes, ask if anything can be removed without losing important information.

When section is done, confirm [SECTION NAME] is complete. Ask if ready to move to the next section.

Repeat for all sections.

Near Completion

As approaching completion (80%+ of sections done), announce intention to re-read the entire document and check for:

  • Flow and consistency across sections
  • Redundancy or contradictions
  • Anything that feels like generic filler
  • Whether every sentence carries weight

Read entire document and provide feedback.

When all sections are drafted and refined: Announce all sections are drafted. Indicate intention to review the complete document one more time.

Review for overall coherence, flow, completeness.

Provide any final suggestions.

Ask if ready to move to Reader Testing, or if they want to refine anything else.

Stage 3: Reader Testing

Goal: Test the document with a fresh perspective (no context bleed) to verify it works for readers.

Instructions to user: Explain that testing will now occur to see if the document actually works for readers. This catches blind spots - things that make sense to the authors but might confuse others.

Step 1: Predict Reader Questions

Announce intention to predict what questions readers might ask when trying to discover this document.

Generate 5-10 questions that readers would realistically ask.

Step 2: Fresh-Perspective Review

Approach the document as if reading it for the first time. For each predicted question:

  • Try to answer it using only the document content
  • Note where the document assumes context the reader may not have
  • Identify ambiguous phrasing or missing explanations

Summarize what works well and what falls short for each question.

Step 3: Additional Checks

Review the document for:

  • Ambiguity or unclear phrasing
  • Assumptions about reader knowledge that aren't stated
  • Internal contradictions or inconsistencies
  • Jargon used without definition

Summarize any issues found.

Step 4: Report and Fix

If issues found: Report the specific problems discovered during reader testing.

List the specific issues.

Indicate intention to fix these gaps.

Loop back to refinement for problematic sections.

Exit Condition

When the fresh-perspective review consistently produces correct answers and doesn't surface new gaps or ambiguities, the doc is ready.

Final Review

When Reader Testing passes: Announce the doc has passed reader testing. Before completion:

  1. Recommend they do a final read-through themselves - they own this document and are responsible for its quality
  2. Suggest double-checking any facts, links, or technical details
  3. Ask them to verify it achieves the impact they wanted

Ask if they want one more review, or if the work is done.

If user wants final review, provide it. Otherwise: Announce document completion. Provide a few final tips:

  • Use appendices to provide depth without bloating the main doc
  • Update the doc as feedback is received from real readers

Tips for Effective Guidance

Tone:

  • Be direct and procedural
  • Explain rationale briefly when it affects user behavior
  • Don't try to "sell" the approach - just execute it

Handling Deviations:

  • If user wants to skip a stage: Ask if they want to skip this and write freeform
  • If user seems frustrated: Acknowledge this is taking longer than expected. Suggest ways to move faster
  • Always give user agency to adjust the process

Context Management:

  • Throughout, if context is missing on something mentioned, proactively ask
  • Don't let gaps accumulate - address them as they come up

Document Management:

  • Draft content directly in conversation or via the word-documents skill
  • Make targeted edits rather than reprinting entire sections
  • Never use document creation for brainstorming lists - that's just conversation

Quality over Speed:

  • Don't rush through stages
  • Each iteration should make meaningful improvements
  • The goal is a document that actually works for readers

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

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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。

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Codex

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Claude

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Cursor

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