codebase-design
Skill0 starsChanged 57 days agoLicence not identifiedView on GitHub
Philosophy and shared vocabulary for designing deep modules with narrow interfaces and rich functionality.
194 other projects use a version of this, 170 of them edited.
Adopted by
Most recently taken up by
- chrysogonus/power-agentsedited, first seen Nov 8, 2026
- wowyuarm/dsh-agent-teamedited, first seen Nov 8, 2026
- Contexera/dsh-agent-teamedited, first seen Nov 8, 2026
- sgaabdu4/appwrite-backendtheir own version, first seen Nov 8, 2026
- The-Vibe-Company/quivredited, first seen Nov 8, 2026
- dhruvsaxena1998/skillsedited, first seen Nov 8, 2026
Used with
Projects with it also use setup-ts-deep-modules, decision-mapping and 2 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.
liufeng1976Skillsetup-ts-deep-modules
Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files. User-invoked.
Also in 43 projects that use this
FabienDehopreSkilldecision-mapping
Turn a loose idea into a sequenced map of investigation tickets, then drive them to resolution one at a time.
Also in 8 projects that use this
ryotaroh180105Skillclaude-handoff
Hand the current conversation off to a fresh background agent that picks up the work immediately.
Also in 41 projects that use this
AWSSkillimplement-spec
Implement the result of /to-spec and /to-tickets in code.
Also in 68 projects that use this
Other versions194 projects use a version of this.
Word for word · 0
None found.
Edited · 170
- mattpocock/skills★ 309k94% same
- danny-avila/LibreChat★ 47k94% same
- LibreChat-AI/LibreChat★ 47k94% same
- QuivrHQ/quivr★ 40k94% same
- The-Vibe-Company/quivr★ 40k94% same
- windmill-labs/windmill★ 18k91% same
- MODSetter/SurfSense★ 17k94% same
- GreyDGL/PentestGPT★ 16k94% same
- formbricks/formbricks★ 13k94% same
- humanlayer/humanlayer★ 13k94% same
160 more not listed
Wrote their own version · 24
- stevesolun/ctx★ 583same name
- devcxl/mattpocock-skills-zh★ 522same name
- OyadotAI/oya-browser★ 348same name
- ahonn/dotfiles★ 62same name
- sgaabdu4/building-flutter-apps★ 25same name
- kriscard/Skills★ 15same name
- eralmansouri/skills★ 9same name
- imMamdouhaboammar/matts-skills-into-chatgpt★ 8same name
- Boom-Vitt/skills-thai★ 5same name
- KroxiDev/engineering-skills★ 4same name
14 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 repository118 other files it gives its agents.
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- ce-polishSkill
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- ce-prototypeSkill
- ce-resolve-pr-feedbackSkill
- ce-setupSkill
- ce-strategySkill
- ce-test-browserSkill
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- database-migrationsSkill
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- design-to-codeSkill
- devops-and-cloudSkill
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- grill-meSkill
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. 2 are common, 0 are distinctive, and 0 are very specific to this project.
2
Common
Most of the 181 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — 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 181 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.
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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.
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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.

