skills
AGENTS.md6 starsChanged 6 months agoMITView on GitHub
The canonical skill source and platform discovery root is the real skills/ directory. Preserve unrelated work. For any skill change: Do not add SKILL.toon, skill-local README files, machine-specific paths, or skills-lock.json. Verify current technical/research claims against primary sources. For Fieldbook changes:
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.
In this repository75 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- agent-browserSkill
- agent-desktopSkill
- agent-expertise-protocolSkill
- ai-figure-generationSkill
- api-securitySkill
- architecture-decision-recordsSkill
- architecture-reviewSkill
- art-of-war-software-engineeringSkill
- browser-automationSkill
- business-product-leadershipSkill
- c4-level1-contextSkill
- c4-level2-containerSkill
- c4-level3-componentSkill
- c4-level4-codeSkill
- c4-modelSkill
- clean-architectureSkill
- cloud-securitySkill
- code-quality-gateSkill
- collaborative-engineering-agentSkill
- conference-paperSkill
- container-securitySkill
- database-designSkill
- ddd-coreSkill
- ddd-patternsSkill
- ddd-tacticalSkill
- defense-prepSkill
- dependency-managementSkill
- diffusion-release-trackingSkill
- docker-containerizationSkill
- dora-coreSkill
- evolutionary-architectureSkill
- exam-rubricSkill
- experiment-trackingSkill
- federated-learning-dqnSkill
- git-workflowSkill
- golang-developmentSkill
- internal-critiqueSkill
- javascript-typescriptSkill
- journal-q1-polishSkill
- kinhluan-routerSkill
- kubernetes-orchestrationSkill
- merge-request-reviewSkill
- milestone-trackerSkill
- paper-auditSkill
- paper-writingSkill
- pastureSkill
- payment-systemsSkill
- penetration-testingSkill
- phd-proposalSkill
- problem-discoverySkill
- product-analyticsSkill
- product-ux-researchSkill
- progress-reportSkill
- proposal-defenseSkill
- publication-strategySkill
- python-developmentSkill
- research-designSkill
- research-questionSkill
- research-watchSkill
- The first 60 shown.
The file
We split this AGENTS.md into the rules it gives an agent
9 rules. About 0 are common, 1 is distinctive, and 8 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.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 7
Keep SKILL.md under 500 lines and link every references/ file directly.
- Very specific: line 8
Put activation context in frontmatter description.
- Very specific: line 9
Update scripts/skill_router.py and regression tests when routing changes.
- Very specific: line 10
Run make sync-manifest, make package, then make check.
- Very specific: line 11
Commit source, skills.json, and every changed deterministic dist/*.skill package together.
- Very specific: line 13
Do not add SKILL.toon, skill-local README files, machine-specific paths, or skills-lock.json.
- Very specific: line 17
Keep skills.json and skills/*/SKILL.md as the only skill-content source.
- Distinctive: line 19
Keep client-side interactions usable without accounts or external data services.
- Very specific: line 20
Run make site-check and keep internal links valid before publishing.
≈ “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
Repository Instructions
The canonical skill source and platform discovery root is the real skills/ directory. Preserve unrelated work.
For any skill change:
- Keep
SKILL.mdunder 500 lines and link everyreferences/file directly. - Put activation context in frontmatter
description. - Update
scripts/skill_router.pyand regression tests when routing changes. - Run
make sync-manifest,make package, thenmake check. - Commit source,
skills.json, and every changed deterministicdist/*.skillpackage together.
Do not add SKILL.toon, skill-local README files, machine-specific paths, or skills-lock.json. Verify current technical/research claims against primary sources.
For Fieldbook changes:
- Keep
skills.jsonandskills/*/SKILL.mdas the only skill-content source. - Preserve the
/skillsGitHub Pages base configured insite/astro.config.mjs. - Keep client-side interactions usable without accounts or external data services.
- Run
make site-checkand keep internal links valid before publishing.
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.

