engineering-discipline
Skill1 starsChanged 6 months agoNo licenceView on GitHub
Enforces a strict engineering-discipline workflow for any coding project — docs-first, modular code (100-LOC file ceiling), strict types, fail-loud errors, semantic logging, behavior-tests, dependency tracking, dated changelogs, and infra separation. Use this skill whenever the user types `/init-project` (bootstrap a new project) or `/existing-project` (onboard / audit a current repo), and also whenever the user asks to start a new codebase, scaffold a repo, set engineering standards, audit project structure, build a dependency map, write a FILE_TREE.md or DEPENDENCY.md, or work on a project under these rules. Trigger even when the slash commands aren't used verbatim — phrases like "start a new project", "set up a repo properly", "make this codebase clean", or "I want to add a feature to my project" should pull this skill in. The skill always interviews the user before producing code or docs; never assume tech stack, never skip the docs-before-code step.
7 other projects use a version of this.
Adopted by
Most recently taken up by
- MMACABRE/SKILLStheir own version, first seen Nov 8, 2026
- linchpin/skillstheir own version, first seen Oct 2, 2026
- yogvidwankhede/vishwakarmatheir own version, first seen Sep 26, 2026
- remembervictorchatbot-vip/AI_Token_Savingtheir own version, first seen Aug 22, 2026
- mukilankarthik/self-awarenesstheir own version, first seen Aug 18, 2026
- murphycheng-24/coding-guidelinestheir own version, first seen Jul 7, 2026
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- mukilankarthik/self-awareness★ 3same name
- KailasMahavarkar/agentic-skills★ 2same name
- linchpin/skills★ 1same name
- MMACABRE/SKILLS★ 1same name
- murphycheng-24/coding-guidelines★ 1same name
- yogvidwankhede/vishwakarma★ 1same name
- remembervictorchatbot-vip/AI_Token_Saving★ 0same name
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 repository5 other files it gives its agents.
- workspace-hygieneSkill
- generate-knowledgeSkill
- research-pipelineSkill
- keshav-three-pass-readingSkill
- trace-code-workSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
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 7 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.
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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.