agent-skills
CLAUDE.md4 starsChanged 23 days agoMITView on GitHub
Agent skills repository for Claude Code. Skills are stored in skills/ with each skill in its own directory containing a SKILL.md manifest and optional references/ directory for supporting documentation. Each skill requires YAML frontmatter: Key Requirements: - name: Kebab-case identifier - description: Must include "Use when" clause describing invocation scenarios - Description should clearly specify trigger conditions for Claude Code to auto-invoke the skill qodo-pr-resolver: Wait, Analyze, Confirm, Execute workflow for Qodo PR review findings. Reads them as structured JSON…
In this repository3 other files it gives its agents.
- panelSkill
- qodo-pr-resolverSkill
- tldrSkill
The file
We split this CLAUDE.md into the rules it gives an agent
3 rules. About 0 are common, 0 are distinctive, and 3 are 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.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 47
Add SKILL.md with required frontmatter and documentation
- Very specific: line 49
Add references/ subdirectory for supporting docs if needed
- Very specific: line 50
Commit with conventional commit format: feat: add <skill-name> skill
≈ “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
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Overview
Agent skills repository for Claude Code. Skills are stored in skills/ with each skill in its own directory containing a SKILL.md manifest and optional references/ directory for supporting documentation.
Repository Structure
skills/
<skill-name>/
SKILL.md # Skill manifest with YAML frontmatter
references/ # Optional supporting documentationSkill Manifest Format (SKILL.md)
Each skill requires YAML frontmatter:
---
name: skill-name
description: >
Brief description of when to use this skill.
Use when [specific scenarios].
---Key Requirements:
name: Kebab-case identifierdescription: Must include "Use when" clause describing invocation scenarios- Description should clearly specify trigger conditions for Claude Code to auto-invoke the skill
Current Skills
qodo-pr-resolver: Wait, Analyze, Confirm, Execute workflow for Qodo PR review findings. Reads them as structured JSON through the Qodo CLI 2.0+ (falls back to GitHub comments), works only on a review at the PR head, fixes one commit per finding, and records outcomes in Qodo (dismiss / mark-implemented).
panel: End-of-task review by 3-6 expert subagents picked for the work (code, docs, plans, messaging, slides, diagrams). Renders visual artifacts to images before review. Verifies findings, returns a P0/P1/P2 report with a ship / fix-first / rethink verdict, applies fixes only after approval. Can add a private "voice" of a real person, built from their own messages and meetings, that reacts to the other reviewers. User state and voices live in ~/.claude/panel/, never in the skill folder.
tldr: Bottom line of a long reply, plain-words explanations, and open questions one at a time. Optional always-on mode through a UserPromptSubmit hook (off by default). Learnings live in ~/.claude/tldr/.
Adding New Skills
- Create
skills/<skill-name>/directory - Add
SKILL.mdwith required frontmatter and documentation - Include detailed workflow, prerequisites, and usage examples
- Add
references/subdirectory for supporting docs if needed - Commit with conventional commit format:
feat: add <skill-name> skill
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.

