doc-sync
Skill0 starsChanged 9 days agoNo licenceView on GitHub
Summarise the current Claude Code conversation and fold it into this repository's documentation — what was built, what was decided and why, and what was actually verified — editing the existing docs in their own voice rather than appending a session log. Use when a working session has moved ahead of the docs: after a feature lands, after a design decision is taken, or when the user says the docs are now behind.
34 other projects use a version of this.
Adopted by
Most recently taken up by
- onegunsamurai/OpenLearningtheir own version, first seen Nov 8, 2026
- sayeediftekhar/Keeltheir own version, first seen Nov 1, 2026
- michaelalber/ai-toolkittheir own version, first seen Nov 1, 2026
- Cassandra-Collective/Ephesustheir own version, first seen Nov 1, 2026
- Univers42/harness42their own version, first seen Nov 1, 2026
- hams-ollo/zen-agent-skillstheir own version, first seen Oct 20, 2026
Used with
Projects with it also use api-endpoint, perf-budget and 7 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.
tadoEngSkillapi-endpoint
Add or change a backend API endpoint on this product, keeping Pydantic as the single contract authority and regenerating the TypeScript client. Use when asked to add an endpoint, expose data to the frontend, change a request or response shape, or wire a new backend capability into a page.
Also in 4 projects that use this
vindreshsinghSkillperf-budget
Optimizes performance by measuring first and fixing the real bottleneck. Use when something is slow, before optimizing, when setting latency or bundle targets, or reviewing changes for performance traps — not for speculative micro-tuning.
Also in 3 projects that use this
AnasX7Skillimprove
Survey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute. Strictly read-only on source code — never implements, fixes, or refactors anything itself. Use when asked to audit a codebase, find improvement opportunities (bugs, security, performance, test coverage, tech debt, migrations, DX), suggest features or where to take the project next (roadmap, product direction), or generate handoff plans for another agent to implement.
Also in 3 projects that use this
dillonluiSkilldesign-review
Review a view or flow for UX and UI issues. Provides severity-ranked, actionable findings grounded in established design heuristics. Use when the user asks for design feedback, UX review, or UI critique.
Also in 3 projects that use this
Microsoft AzureSkilldesign
Design rules and conventions for the API Center Portal. Use when editing detail pages, card components, badges, layout, navigation, sidebars, or headers. Covers badge styling, metadata placement, page navigation patterns, and layout alignment.
Also in 3 projects that use this
NVIDIASkillresearch
Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.
Also in 3 projects that use this
Other versions34 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 34
- JetBrains/ideavim★ 10ksame name
- taruma/SceneFlow★ 382same name
- PLC-lang/rusty★ 372same name
- chmouel/lazyworktree★ 315same name
- NVIDIA/TensorRT-Model-Connect★ 290same name
- fancyboi999/open-tag★ 181same name
- aspenkit/aspens★ 100same name
- nrjdalal/zerostarter★ 65same name
- tykisgod/quick-question★ 12same name
- foryouself83/harness-tier★ 10same name
24 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 repository34 other files it gives its agents.
- academic-writing-skillsSkill
- arch-diffSkill
- brainstorm-conversationSkill
- brainstorm-interviewSkill
- challengeSkill
- _code-conventionsSkill
- _commit-procedureSkill
- critiqueSkill
- daily-briefSkill
- deploy-workflowSkill
- email-to-chatSkill
- explain-visuallySkill
- humanizer_academicSkill
- ideaSkill
- mediatorSkill
- paper-reviewSkill
- plan-commitSkill
- plan-createSkill
- plan-finishSkill
- plan-implementSkill
- plan-overviewSkill
- plan-prSkill
- _plan-resolveSkill
- plan-reviewSkill
- profile-interviewSkill
- prompt-polishSkill
- publish-mainSkill
- scientific-article-writingSkill
- speakSkill
- upkeep-reviewSkill
- voice-latchSkill
- vscode-click-to-openSkill
- weekly-rollupSkill
- wrap-upSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 27 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 27 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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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.

