doc-coauthoring
Skill4 starsChanged 28 days agoCC0-1.0View on GitHub
Use when the user wants to write or co-author a doc — a proposal, technical spec, decision doc, or RFC.
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.
In this repository60 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- address-issueSkill
- agent-copySkill
- audit-dependenciesSkill
- autopilotSkill
- babysitSkill
- bylineSkill
- codex-computer-useSkill
- codex-reviewSkill
- create-prdSkill
- critical-thinkingSkill
- expressive-webSkill
- gh-commentSkill
- git-commit-and-pushSkill
- gtmSkill
- how-to-reviewSkill
- image-genSkill
- implementSkill
- logo-designSkill
- momentumSkill
- next-sliceSkill
- prd-to-issuesSkill
- pr-fileSkill
- pr-mergeSkill
- refine-planSkill
- refine-ruleSkill
- refineSkill
- refine-skillSkill
- remotion-best-practicesSkill
- remotion-captionsSkill
- remotion-createSkill
- remotion-docsSkill
- remotion-interactivitySkill
- remotion-licenseSkill
- remotion-mapsSkill
- remotion-markupSkill
- remotion-multimediaSkill
- remotion-renderSkill
- remotion-saasSkill
- remotion-studioSkill
- remotion-upgradeSkill
- review-councilSkill
- review-relaySkill
- say-lessSkill
- say-moreSkill
- seoSkill
- signalSkill
- talk-like-miaSkill
- talk-normalSkill
- testingSkill
- transitions-devSkill
- transitions-polishSkill
- ui-a11ySkill
- ui-copySkill
- ui-designSkill
- ui-layoutSkill
- ui-reviewSkill
- ui-styleSkill
- upload-fileSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 170 edited versions we read keep these.
3
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 18
If editing an existing shared doc, flag images without alt-text — readers who paste the doc into an AI tool lose them — and offer to …
- Distinctive: line 20
When the dump slows, ask 5–10 numbered clarifying questions.
- Distinctive: line 37
When 80%+ of sections are done, re-read the entire doc for flow, contradictions, redundancy, and filler — every sentence carries weight.
“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 Co-Authoring
Guide the user through three stages: context gathering, section-by-section refinement, reader testing. Name the stages up front and ask if they want the workflow; work freeform if they decline. Invoke the talk-normal skill before drafting anything — it governs the doc's prose and tone, not just chat.
Stage 1: Context Gathering
Goal: close the gap between what the user knows and what you know.
Ask for meta-context first: doc type, audience, desired impact on the reader, template or required format, other constraints. Then have them dump everything, unorganized — background, prior discussions, rejected alternatives, org context and politics, timelines, architecture, stakeholder concerns. They can answer in shorthand, paste content, or point at channels and docs to read (fetch via available integrations; ask before searching for entities they haven't named).
If editing an existing shared doc, flag images without alt-text — readers who paste the doc into an AI tool lose them — and offer to generate alt-text.
When the dump slows, ask 5–10 numbered clarifying questions; shorthand answers are fine ("1: yes, 2: see #channel"). Address missing context as it surfaces rather than letting gaps accumulate.
Exit when your questions are about edge cases and trade-offs, not basics. Ask whether to move to drafting.
Stage 2: Refinement & Structure
Agree on the section list (suggest 3–5 sections fitting the doc type if the user doesn't know), then create the doc as a markdown file with placeholder sections. Start with the section holding the most unknowns — the core proposal for decision docs, the technical approach for specs; summaries last.
Per section:
- Clarify — 5–10 questions on what belongs here.
- Brainstorm — 5–20 numbered candidate points, in chat, never in the doc; offer to generate more.
- Curate — the user keeps/removes/combines by number, with brief justifications ("remove 6 — audience knows this"); freeform feedback works too — extract and apply it. Their justifications teach you priorities for later sections.
- Gap check — anything important missing from what survived?
- Draft — replace the section's placeholder with surgical edits; never reprint the whole doc. On the first section, ask the user to request changes instead of editing directly so you learn their style; if they edit directly anyway, read their diff as style signal.
- Refine — iterate until they're satisfied. After 3 iterations with no substantial change, ask what can be removed without losing information.
When 80%+ of sections are done, re-read the entire doc for flow, contradictions, redundancy, and filler — every sentence carries weight.
Stage 3: Reader Testing
Goal: verify the doc works for readers who lack the authors' context.
- Predict 5–10 questions real readers would bring to the doc.
- Fresh-context test: give a subagent only the doc text and one question each; also probe what's ambiguous, what knowledge the doc assumes, and whether it self-contradicts. Without subagents, hand the user the questions to run in a fresh conversation themselves.
- Loop back to Stage 2 for the sections Reader Claude got wrong.
Exit when a fresh reader answers every question correctly and surfaces no new gaps.
Wrap-up
The user does the final read-through themselves — facts, links, and intended impact are their responsibility, and their name is on it. Suggest appendices for depth the main doc shouldn't carry, and updating the doc as real-reader feedback arrives.
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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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
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.

