skills
AGENTS.md0 starsChanged 7 months agoMITView on GitHub
Central registry for agent skills used across /home/TheWatcher01/projects. Each skill follows the Agent Skills spec: - GitHub Copilot skills docs: https://docs.github.com/en/copilot/how-tos/use-copilot-agents/coding-agent/create-skills - Agent Skills spec: https://agentskills.io/specification
We split this AGENTS.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 14
Use SKILLS_INVENTORY.md instead of manually maintained static skill counts.
≈ “Common” is an estimate: at least 1 in 5 of the 36,368 AGENTS.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
AGENTS.md — TheWatcher01/skills
Central registry for agent skills used across /home/TheWatcher01/projects.
Canonical Layout
.claude/skills/: canonical skill source (Claude Code config + assets + instructions)..github/skills/: GitHub Copilot Chat/CLI compatible path (symlink to.claude/skills/).
Important Policy
openclaw/skills must remain inopenclawand are not imported here.- Imported/excluded provenance is documented in
SKILLS_INVENTORY.md. - Use
SKILLS_INVENTORY.mdinstead of manually maintained static skill counts.
Skill Format
Each skill follows the Agent Skills spec:
<skill-name>/
├── SKILL.md
├── references/
├── scripts/
└── assets/References
- GitHub Copilot skills docs: https://docs.github.com/en/copilot/how-tos/use-copilot-agents/coding-agent/create-skills
- Agent Skills spec: https://agentskills.io/specification
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 28,693 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository172 other files it gives its agents.
- .claude/skills/vercel-composition-patterns/AGENTS.mdAGENTS.md
- .claude/skills/vercel-react-best-practices/AGENTS.mdAGENTS.md
- .claude/skills/vercel-react-native-skills/AGENTS.mdAGENTS.md
- address-sanitizerSkill
- aflppSkill
- agentic-actions-auditorSkill
- agentic-workspaceSkill
- agent-patternsSkill
- aides-finderSkill
- algorand-vulnerability-scannerSkill
- algorithmic-artSkill
- apexSkill
- ask-questions-if-underspecifiedSkill
- atherisSkill
- audit-context-buildingSkill
- audit-flash-cyberSkill
- audit-prep-assistantSkill
- audit-quickSkill
- bodacc-watchSkill
- brand-guidelinesSkill
- burpsuite-project-parserSkill
- cairo-vulnerability-scannerSkill
- canvas-designSkill
- capitalizeSkill
- cargo-fuzzSkill
- claude-in-chrome-troubleshootingSkill
- claude-memorySkill
- cnil-scannerSkill
- code-maturity-assessorSkill
- codeqlSkill
- code-review-agentSkill
- commitSkill
- competitive-intelSkill
- constant-time-analysisSkill
- constant-time-testingSkill
- content-machineSkill
- context-engineeringSkill
- cosmos-vulnerability-scannerSkill
- coverage-analysisSkill
- create-prSkill
- daily-briefingSkill
- data-auditSkill
- data-cleanerSkill
- data-contractSkill
- data-freshness-checkSkill
- data-scienceSkill
- debug-buttercupSkill
- deep-researchSkill
- deploy-to-vercelSkill
- designing-workflow-skillsSkill
- devcontainer-setupSkill
- devops-agentSkill
- differential-reviewSkill
- dl-capitalizeSkill
- dl-costSkill
- dl-crawlSkill
- dl-importSkill
- dl-mcpSkill
- dl-scaffoldSkill
- dl-schemaSkill
- The first 60 shown.
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.

