doc-coauthoring
Helps your agent guide you in writing important documents. It's useful when you need to create documentation, proposals, or specifications.
What it does
Helps you write important documents, like proposals or technical specs, in an organized way. It guides you through steps to ensure clarity for the reader.
When to use it
- ✓When you need to write a formal document.
- ✓When creating a project proposal.
- ✓If you are drafting technical specifications.
Example of what to ask your AI
“I need to write a proposal for a new project. Can you help me organize my thoughts?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI asks you questions to understand the document's context and goal. Then, it helps organize sections and refine the text, like a colleague reviewing it with you.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add anthropics/skills --skill doc-coauthoringOr download just the file:
curl -L https://raw.githubusercontent.com/anthropics/skills/main/skills/doc-coauthoring/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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:
- Context Gathering: User provides all relevant context while Claude asks clarifying questions
- Refinement & Structure: Iteratively build each section through brainstorming and editing
- Reader Testing: Test the doc with a fresh Claude (no context) to catch blind spots before others read it
Explain that this approach helps ensure the doc works well when others read it (including when they paste it into Claude). 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 Claude knows, enabling smart guidance later.
Initial Questions
Start by asking the user for meta-context about the document:
- What type of document is this? (e.g., technical spec, decision doc, proposal)
- Who's the primary audience?
- What's the desired impact when someone reads this?
- Is there a template or specific format to follow?
- 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 the appropriate integration to fetch it
- If they provide a file, read it
If user mentions editing an existing shared document:
- Use the appropriate integration to read the current state
- Check for images without alt-text
- If images exist without alt-text, explain that when others use Claude to understand the doc, Claude won't be able to see them. Ask if they want alt-text generated. If so, request they paste each image into chat for descriptive alt-text generation.
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 integrations are available (e.g., Slack, Teams, Google Drive, SharePoint, or other MCP servers), mention that these can be used to pull in context directly.
If no integrations are detected and in Claude.ai or Claude app: Suggest they can enable connectors in their Claude settings to allow pulling context from messaging apps and document storage directly.
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 integrations available: Inform them the content will be read now, then use the appropriate integration
- If integrations not available: Explain lack of access. Suggest they enable connectors in Claude settings, or paste the relevant content directly.
If user mentions entities/projects that are unknown:
- Ask if connected tools should be searched to learn more
- 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.
…
FAQ
What are the three stages?
They are: 1. Context Gathering (you tell me everything about the document), 2. Refinement & Structure (we organize and write section by section), and 3. Reader Testing (we simulate a reader to find weak spots).
What if I don't have a template?
No problem! The AI can suggest sections based on the type of document you want to create.
Can the AI read documents I already have?
If you use the AI on a platform that allows it (like Claude.ai with connectors enabled), it can read documents from where they are stored, such as Google Drive or Slack.
Details
Original description by the author
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or
repo: anthropics/skills
Popularity
- GitHub stars
- 181k
- Ranking position
- #320
- License
- —
- Updated
- 10/9/2026
Comments
- …
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