Skills
Doc Co-Authoring Skill
by Anthropic
Three-stage workflow for writing documentation and proposals that actually work for readers.
Our verdict
We have not reviewed Doc Co-Authoring Skill yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Doc Co-Authoring Skill
The Doc Co-Authoring skill structures collaborative writing into three stages: context gathering, section-by-section refinement, and reader testing with a fresh Claude instance. The final stage is the differentiator: the finished document is sent to a new session with no conversational history to surface the blind spots real readers encounter. Designed for technical docs, proposals, and decision documents.
Best for
Anyone who writes documentation or proposals that need to be clear to readers who were not in the room
Use cases
- Write technical documentation that is tested for reader clarity before shipping
- Draft proposals or SOWs with structured section-by-section refinement
- Produce decision documents where blind spots and missing context are caught before distribution
- Co-author any structured long-form document with an agent that learns your preferences section by section
Notes
Why it matters
Most AI writing tools produce a draft and stop. The reader-testing stage here is the key. Documents fail because authors know too much about their own subject. A fresh Claude session with no conversational history simulates what a real reader encounters, without knowing what the author intended.
How teams use it in production
Use it for any document where the reader was not present when the context was built: customer proposals, onboarding docs, technical specs, decision documents. The three-stage investment is worth it when the cost of a reader misunderstanding the document is high.
What to watch
The reader-testing pattern, using a context-free agent session to evaluate output, is transferable. It is an underused quality gate for any AI-generated content that will be read cold.
Pros
- Reader-testing stage catches blind spots that authors always miss
- Section-by-section refinement improves output quality over a single-pass draft
- Separates editing from describing changes, which helps the agent calibrate to your style
- Works for any structured long-form document, not just technical docs
Cons
- Three-stage workflow takes longer than a single draft prompt
- Reader-testing stage requires an additional Claude session, adding cost
- Best results need genuine context gathering upfront, not a one-line brief
Key facts
What we have checked
- Days since the last commit
- 0
- GitHub forks
- 22,204
- GitHub stars
- 188,286
- Days to a first reply on issues
- 7.3
- Open issues
- 432
- Releases in the last 90 days
- 0
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Doc Co-Authoring Skill is growing
185,752 to 188,286
Health and security
Is Doc Co-Authoring Skill looked after, and what do its setup files show
Health score
75 out of 100
| Part | Points | What we saw |
|---|---|---|
| Recent activity | 30 of 30 | Last push 0 days ago |
| Releases | 0 of 15 | 0 releases in 90 days |
| Issue replies | Not counted | The latest check has no issue response reading (fewer than 3 measured issues, or issues switched off) |
| Maintainer | 15 of 15 | Owned by an organisation |
| Official source | Not counted | MCP servers only |
Security check static checks
100 out of 100
- Note No dependency list or install command was found in the skill, so there were no packages to look up on OSV.
Sources
Where this comes from
- GitHubRegistry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
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