clean-code-for-agents
Skill1 starsChanged 4 months agoNo licenceView on GitHub
Apply a Clean Code discipline re-ranked for AI coding agents (the primary reader of code is now the agent, not a human) together with a targeted verification loop (tests as specification, not TDD ceremony), and persist ONLY non-inferable project facts into AGENTS.md (the cross-tool standard, with a CLAUDE.md bridge) so they survive across sessions and tools. Use this WHENEVER writing, implementing, refactoring, or reviewing code in a real project; when setting up or bootstrapping a new repo; when the user asks to "work in this pattern", mentions Clean Code, XP, TDD, agent-friendly code, greppable names, small functions, or wants coding standards / agent rules installed. Trigger even if the user does not say "Clean Code" — any request to make a codebase agent-friendly, enforce a coding standard, or set up a CLAUDE.md/AGENTS.md rules file qualifies. Do NOT use for one-off throwaway snippets where no project context exists.
In this repository4 other files it gives its agents.
- business-readmeSkill
- jiraSkill
- visual-reportSkill
- work-reportSkill
The file
We split this skill into the rules it gives an agent
10 rules. About 0 are common, 8 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
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 an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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.
No reviews yet
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.