ilano-skills
AGENTS.md0 starsChanged 48 days agoMITView on GitHub
Rules for working in this repo. Follow them exactly.
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 31,700 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 repository17 other files it gives its agents.
- skills/humanizer/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- cherrypickerSkill
- copyable-markdownSkill
- deltamaxxSkill
- docs-mirrorSkill
- ffmpegSkill
- humanizerSkill
- prompt-packSkill
- socials-mirrorSkill
- spamcheckSkill
- tool-call-repairSkill
- writing-beatsSkill
- writing-for-agentsSkill
- writing-fragmentsSkill
- writing-shapeSkill
- yt-ccSkill
The file
We split this AGENTS.md into the rules it gives an agent
6 rules. About 0 are common, 1 is distinctive, and 5 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.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 20
Write and prune every SKILL.md against skills/writing-for-agents/SKILL.md (and its SKILL-MECHANICS.md for frontmatter and the invocation …
- Very specific: line 25
Keep SKILL.md under 500 lines.
- Distinctive: line 27
Prefer scripts over inline code — point to a script instead of pasting its body.
- Very specific: line 31
Start with #!/bin/bash and set -e.
- Very specific: line 37
Every skill directory has a PROVENANCE.yaml with origin: original | vendored | fork | reimplemented-technique.
- Very specific: line 40
Run scripts/validate.sh before every commit.
≈ “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
Conventions
Rules for working in this repo. Follow them exactly.
Directory structure
skills/
└── {skill-name}/ # kebab-case; the directory name IS the slash command
├── SKILL.md # required
├── PROVENANCE.yaml # required — origin and credit
├── assets/ # optional — files the skill ships (templates, prompts)
├── references/ # optional — docs loaded on demand
└── scripts/ # optional — executable helpersSKILL.md format
- YAML frontmatter with
name(must match the directory name) anddescription. - Write and prune every SKILL.md against
skills/writing-for-agents/SKILL.md(and itsSKILL-MECHANICS.mdfor frontmatter and the invocation choice). The description is a context pointer loaded every turn: what the skill does, one trigger per branch, no identity the body already carries. - A skill only ever fired by a typed slash command gets
disable-model-invocation: trueso its description costs nothing.
Context efficiency
- Keep SKILL.md under 500 lines.
- Progressive disclosure: overview and workflow in SKILL.md, details in
references/. - Prefer scripts over inline code — point to a script instead of pasting its body.
Script standards
- Start with
#!/bin/bashandset -e. - Status messages go to stderr; JSON output goes to stdout.
- Clean up temp files with traps.
Provenance
- Every skill directory has a
PROVENANCE.yamlwithorigin: original | vendored | fork | reimplemented-technique. - Vendored and forked skills pin their source:
upstream_repo,upstream_sha,upstream_path. - Forks also add a
LICENSE.upstreamfile and a non-emptymodificationslist. - Run
scripts/validate.shbefore every commit.
Editing
- Make surgical changes. Don't rewrite what you weren't asked to touch.
- A piece of information lives in SKILL.md or in
references/, never both.
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.

