agentic-react-express-ts
CLAUDE.md0 starsChanged 6 months agoMITView on GitHub
Claude Code: please read AGENTS.md first — it has the full architecture, stack, and conventions.
In this repository7 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .github/copilot-instructions.mdCopilot instructions
- add-resourceSkill
- deploy-checklistSkill
- onboard-an-agentSkill
- remove-demo-codeSkill
- self-correcting-loopSkill
The file
We split this CLAUDE.md into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 17
Self-correcting loop: If a commit is rejected, do NOT bypass.
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md 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.
Files
CLAUDE.md
Claude Code: please read AGENTS.md first — it has the full architecture, stack, and conventions.
Claude-specific tips
- Skills: This repo ships skill files in
skills/. Read them top-down when their trigger applies; they have ordered steps that are faster than re-discovering the pattern. - Permissions: Hook bypassing should be denied. If
~/.claude/settings.jsondoesn't already block--no-verify, add:{ "permissions": { "deny": ["Bash(git commit*--no-verify*)", "Bash(git commit*-n *)"] } } - Slash commands worth knowing here:
/review(built-in PR review),/security-review, andverify(manual app-driven verification) are particularly useful. - Self-correcting loop: If a commit is rejected, do NOT bypass. Read all errors, fix in one pass, retry. See
skills/self-correcting-loop/SKILL.md.
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.

