ai-light-factory
AGENTS.md1 starsChanged 42 days agoMITView on GitHub
AI Light Factory (alf): two skills in skills/ (dev-loop and verify, Agent Skills format), seat contracts in skills/dev-loop/seats/, scripts in bin/, git/gh shims in bin/shims/, a guard in hooks/, and templates in templates/. Decisions, plan and tickets come from Matt Pocock's and Addy Osmani's skill packs; don't re-implement them here. It installs as a Claude Code plugin; the seats can run any coding agent. Any agent that reads AGENTS.md reads this file.
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
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 9
Prefer a mechanical check to a sentence: If a rule can live in a script (bin/) or the hook, put it there and have the skill call it.
≈ “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
Working on AI Light Factory
AI Light Factory (alf): two skills in skills/ (dev-loop and verify, Agent Skills format), seat contracts in skills/dev-loop/seats/, scripts in bin/, git/gh shims in bin/shims/, a guard in hooks/, and templates in templates/. Decisions, plan and tickets come from Matt Pocock's and Addy Osmani's skill packs; don't re-implement them here. It installs as a Claude Code plugin; the seats can run any coding agent. Any agent that reads AGENTS.md reads this file.
Rules for changes
- Skills follow the Agent Skills spec.
namemust match the directory name: lowercase letters, digits and hyphens, at most 64 characters.descriptionmust be at most 1024 characters, and say what the skill does and when to use it. Keep each SKILL.md under 500 lines, and move detail intoreferences/. - Seat contracts stay portable. The files in
skills/dev-loop/seats/are read by path by any agent, so they are plain markdown with no agent-specific syntax. Claude-only frontmatter (disable-model-invocation,argument-hint) is fine indev-loop, which always runs in Claude Code. - Prefer a mechanical check to a sentence. If a rule can live in a script (
bin/) or the hook, put it there and have the skill call it. - Scripts: bash that runs on macOS's bash 3.2 (no
${x,,}, nomapfile, no associative arrays), withset -euo pipefail, and onlyjq,git,ghand python3 stdlib. They must passshellcheck. Every script prints usage from its header comment. - Every rule cites its reason. A rule with no why gets deleted by the next person who finds it inconvenient.
- Every factory change cites the run that motivated it, in the PR body: what happened, which stage should have caught it, and the check you added.
Checks
python3 scripts/validate_skills.py # frontmatter against the spec
shellcheck -x bin/alf-*.sh bin/alf-{seat,dispatch,wait,board,ready,threads,ledger} bin/shims/* scripts/smoke.sh
bash scripts/smoke.sh # seats, dispatch, wait, board, limits, ledger, stats and the guard, against fixtures
claude plugin validate . --strict # when the claude CLI is availableDoes 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.

