skills
AGENTS.md0 starsChanged 24 days agoMITView on GitHub
This is my personal agent-skills repo. Every skill follows the Agent Skills format and works across Claude Code, Codex, OpenCode, and other compatible harnesses. The foreman/ bucket is the exception in runtime terms: its standing orders need a T3 Code-style runtime (agent threads, schedules, worktrees, PR watches) plus mattpocock/skills in the target repo for the worker flows. Skills live in buckets under skills/: Promoted buckets (foreman/, engineering/, productivity/) appear in the top-level README.md and in .claude-plugin/plugin.json's skills array. Non-promoted buckets…
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 31,774 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.
The file
We split this AGENTS.md into the rules it gives an agent
8 rules. About 0 are common, 1 is distinctive, and 7 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
7
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 44
Write SKILL.md (name matches folder) and agents/openai.yaml
- Very specific: line 45
Add the skill, linked to its SKILL.md, to the top-level README.md and the bucket's README.md
- Very specific: line 46
Add its path to .claude-plugin/plugin.json's skills array (promoted buckets only)
- Very specific: line 47
Run node scripts/validate-skills.mjs (CI runs it too)
- Very specific: line 48
Add a changeset describing the change: pnpm changeset
- Distinctive: line 52
Write for agents: short sections, imperative voice, concrete steps.
- Very specific: line 53
Keep skills small and composable.
- Very specific: line 60
Every meaningful change gets a changeset: pnpm changeset (patch for fixes, minor for new skills).
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 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
Repo conventions
This is my personal agent-skills repo. Every skill follows the Agent Skills format and works across Claude Code, Codex, OpenCode, and other compatible harnesses. The foreman/ bucket is the exception in runtime terms: its standing orders need a T3 Code-style runtime (agent threads, schedules, worktrees, PR watches) plus mattpocock/skills in the target repo for the worker flows.
Layout
Skills live in buckets under skills/:
foreman/: the 24/7 worker-pool standing orders for T3 Code (real worker sessions, GitHub-only coordination, PR-only flow; workers run mattpocock/skills flows)engineering/: daily code work (create when needed)productivity/: general workflow tools (create when needed)misc/: kept around but rarely used, not promotedin-progress/: beta skills, public on purpose, feedback wanteddeprecated/: no longer used
Promoted buckets (foreman/, engineering/, productivity/) appear in the top-level README.md and in .claude-plugin/plugin.json's skills array. Non-promoted buckets (misc/, in-progress/, deprecated/) must not appear in either.
Anatomy of a skill
skills/<bucket>/<skill-name>/
SKILL.md # required: YAML frontmatter + the instructions
agents/openai.yaml # required: Codex-facing display name + short description
*.md # optional: reference files linked from SKILL.md
scripts/ # optional: helper scripts the skill may runSKILL.md frontmatter:
name: must match the folder name, kebab-case.description: one sentence, third person, phrased around the triggers you want (for model-invoked skills, this is what the agent matches against).disable-model-invocation: true: add for user-invoked skills, i.e. ones the human types and the agent must never fire on its own. Both foreman skills are user-invoked.
agents/openai.yaml carries the display metadata for Codex, and for user-invoked skills also:
policy:
allow_implicit_invocation: falseChecklist when adding a skill
mkdir -p skills/<bucket>/<skill-name>/agents- Write
SKILL.md(name matches folder) andagents/openai.yaml - Add the skill, linked to its
SKILL.md, to the top-levelREADME.mdand the bucket'sREADME.md - Add its path to
.claude-plugin/plugin.json'sskillsarray (promoted buckets only) - Run
node scripts/validate-skills.mjs(CI runs it too) - Add a changeset describing the change:
pnpm changeset
Style
- Write for agents: short sections, imperative voice, concrete steps.
- Keep skills small and composable; boring beats clever.
- Launch lines and tool names go in the skill, not in chat.
Versioning and releases
This repo uses pnpm (packageManager in package.json pins the version). package.json holds the version; .claude-plugin/plugin.json mirrors it.
- Every meaningful change gets a changeset:
pnpm changeset(patch for fixes, minor for new skills). Commit the generated file in.changeset/. pnpm run versionapplies pending changesets: bumps the version, writesCHANGELOG.md, and syncsplugin.json.- Pushed to
main, the Release workflow keeps a "Version Packages" PR open; merging it tags the release. pnpm run check-plugin-versionfails when the two manifests drift. CI runs it andpnpm run validateon every push and PR.
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.

