doc-coauthoring
Skill0 starsChanged 5 months agoMITView on GitHub
Structured coauthoring workflow for documentation, PRDs, RFCs, technical specs, decision records, proposals, handoffs, roadmaps, postmortems, and project plans. Use when the user wants to write, refine, review, or stress-test a substantial document so it is clear for real readers and execution-ready.
179 other projects use a version of this.
Adopted by
Most recently taken up by
- TehseenTech/manus-skillstheir own version, first seen Nov 8, 2026
- rvdbreemen/OTGW-firmwaretheir own version, first seen Nov 8, 2026
- BrightGold70/skillstheir own version, first seen Nov 8, 2026
- fumoctl/nix-agent-officetheir own version, first seen Nov 8, 2026
- ppswdev/pp_skillstheir own version, first seen Nov 8, 2026
- shkodnik1917/claude-brainlabtheir own version, first seen Nov 8, 2026
Used with
Projects with it also use context7-efficient, academy-guide and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
hfzarslanSkillcontext7-efficient
Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript, Python, Go, Rust, and other libraries. Use when users ask about library documentation, need code examples, want API usage patterns, are learning a new framework, need syntax reference, or troubleshooting with library-specific information. Triggers include questions like "Show me React hooks", "How do I use Prisma", "What's the Next.js routing syntax", or any request for library/framework documentation.
Also in 5 projects that use this
AnthropicSkillacademy-guide
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.
Also in 6 projects that use this
AbdullahMalik17Skillconfiguring-dapr-pubsub
Configures Dapr pub/sub components for event-driven microservices with Kafka or Redis. Use when wiring agent-to-agent communication, setting up event subscriptions, or integrating Dapr sidecars. Covers component configuration, subscription patterns, publishing events, and Kubernetes deployment. NOT when using direct Kafka clients or non-Dapr messaging patterns.
Also in 3 projects that use this
AbdullahMalik17Skilldeploying-cloud-k8s
Deploys applications to cloud Kubernetes (AKS/GKE/DOKS) with CI/CD pipelines. Use when deploying to production, setting up GitHub Actions, troubleshooting deployments. Covers build-time vs runtime vars, architecture matching, and battle-tested debugging.
Also in 3 projects that use this
Galaxy-DawnSkillresults-report
This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts into a structured, decision-oriented research report. It assumes strict analysis should come from `results-analysis` first.
Also in 3 projects that use this
AnthropicSkillweb-artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Also in 72 projects that use this
- +5 more from AbdullahMalik17
Other versions179 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 179
- anthropics/skills★ 189ksame name
- Galaxy-Dawn/claude-scholar★ 5.9ksame name
- moonrepo/moon★ 4.2ksame name
- ChenglinPoly/infiAgent★ 1.2ksame name
- polyuiislab/infiAgent★ 1.2ksame name
- getsentry/skills★ 1.1ksame name
- Ohh-889/skyroc-admin★ 795same name
- JetBrains/skills★ 386same name
- zephyrwang6/myskill★ 339same name
- xuzeyu91/WebCode★ 278same name
169 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 6 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 170 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Use this skill to turn rough context into a document that readers can understand and act on.
- Distinctive: line 18
Document type and audience.
- Distinctive: line 24
If context is already sufficient, do not ask more questions.
- Distinctive: line 31
Use headings that help scanning.
- Distinctive: line 32
Avoid filler, vague promises, and unsupported claims.
- Distinctive: line 36
Before finalizing, inspect the doc as a fresh reader:
“Common” is measured: kept by at least 6 in 10 of the 170 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Doc Coauthoring
Overview
Use this skill to turn rough context into a document that readers can understand and act on. It borrows the useful staged workflow pattern from Anthropic's public doc-coauthoring example and adapts it for concise Codex collaboration.
Workflow
1. Context Gathering
Collect only the context needed to draft well:
- Document type and audience.
- Desired reader action or decision.
- Required format, template, length, and tone.
- Background facts, constraints, open questions, and non-goals.
- Source files or links that must be reflected.
If context is already sufficient, do not ask more questions; draft.
2. Structure And Draft
- Propose the outline before writing long docs.
- Make the main point obvious near the top.
- Separate facts, decisions, options, risks, and next steps.
- Use headings that help scanning.
- Avoid filler, vague promises, and unsupported claims.
3. Reader Test
Before finalizing, inspect the doc as a fresh reader:
- Can the audience understand the problem and decision?
- Are assumptions and ownership clear?
- Are risks and tradeoffs named?
- Are next steps specific enough to execute?
- Is anything missing that would cause back-and-forth?
Common Outputs
- PRD: problem, user, scope, non-goals, requirements, UX notes, metrics, risks.
- RFC/design doc: context, options, decision, architecture, migration, test plan.
- Proposal: opportunity, recommendation, cost, risk, timeline, ask.
- Handoff: current state, changed files, verification, blockers, next owner.
- Postmortem: impact, timeline, root cause, contributing factors, actions.
Final Handoff
Provide the finished doc or a clean outline, plus assumptions and unresolved questions.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

