skill-author
Skill48 starsChanged 17 days agoMITView on GitHub
Guides an agent through writing a good SKILL.md, covering the name, a description that triggers at the right time, concise instructions, bundled scripts and tests. Use when the user asks to create, improve or review an agent skill, or wants to turn a repeated task into a reusable skill.
23 other projects use a version of this.
Adopted by
Most recently taken up by
- DylXBT/claude-orchestrator-skillstheir own version, first seen Nov 8, 2026
- himkt/cafleettheir own version, first seen Nov 8, 2026
- pankaj-mahaur/Agent-Daemontheir own version, first seen Nov 6, 2026
- educlopez/mallardtheir own version, first seen Nov 1, 2026
- mandasTeam/skill-authortheir own version, first seen Nov 1, 2026
- manusco/resonancetheir own version, first seen Oct 22, 2026
Other versions23 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 23
- generative-computing/mellea★ 1.9ksame name
- aqm857886159/Nomi★ 550same name
- DylXBT/claude-orchestrator-skills★ 114same name
- robium-ai/robium★ 93same name
- himkt/cafleet★ 56same name
- manusco/resonance★ 38same name
- Zhonghao1995/agentic-swmm-workflow★ 31same name
- felvieira/claude-skills-fv★ 27same name
- peter-tu-zynkr/zynkr-skill-builder★ 21same name
- ChilliCream/agent-skills★ 16same name
13 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
- api-endpoint-testerSkill
- changelog-generatorSkill
- commit-message-writerSkill
- csv-profilerSkill
- dockerfile-linterSkill
- env-file-auditorSkill
- json-diffSkill
- log-analyzerSkill
- meeting-notes-to-actionsSkill
- pr-description-writerSkill
- python-code-smellsSkill
- readme-doctorSkill
- secure-code-reviewSkill
- sql-query-reviewerSkill
- todo-extractorSkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 4 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 18 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 24
Collect real examples: Ask for two or three actual requests the skill should handle, and one it should not.
- Very specific: line 29
Keep the file under 500 lines and move long reference material into references/.
- Very specific: line 33
Check it: Run askit lint, askit scan and askit test, then askit score.
- Distinctive: line 44
Prefer steps an agent can verify over general advice.
- Distinctive: line 47
Do not repeat what the model already knows.
- Distinctive: line 48
Never ask the agent to hide actions from the user or to ignore other instructions.
- Very specific: line 63
If the user cannot give examples, write the description from the stated goal and mark the skill as a draft in metadata.
“Common” is measured: kept by at least 6 in 10 of the 18 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Skill author
A skill is a folder with a SKILL.md file. The agent reads the name and description of every installed skill
and loads the full instructions only when a task matches. The description is therefore the most important line.
When to use
- The user keeps repeating the same kind of task and wants it captured.
- The user has a draft skill that never triggers, or triggers at the wrong time.
- A skill needs a review before it is shared.
Workflow
- Collect real examples. Ask for two or three actual requests the skill should handle, and one it should not.
- Pick the name. Lowercase letters, digits and single hyphens, at most 64 characters, same as the folder name.
- Write the description. Third person, what it does and when to use it, under 1024 characters, no angle brackets. Include the words a user would actually type.
- Write the instructions. Short sections: when to use, steps, output format, one example, errors.
Keep the file under 500 lines and move long reference material into
references/. - Add a script only when code is more reliable than prose (parsing, counting, validating). Use the standard library, read arguments or standard input, print JSON, and exit with a non-zero code on failure.
- Add tests as a
cases.jsonfile inside atestsfolder: one happy path, one edge case, one error case at minimum. - Check it. Run
askit lint,askit scanandaskit test, thenaskit score.
Description checklist
- Does it start with a verb that says what the skill does?
- Does it contain "Use when ..." with concrete triggers?
- Would a different skill be a better match for any of these words?
- Is it written as "Analyzes logs" and not "I analyze logs"?
Writing instructions
- Prefer steps an agent can verify over general advice.
- Tell the agent what to do when input is missing or unclear.
- Show the output format once, with a real example.
- Do not repeat what the model already knows. Spend words on what is specific to this task.
- Never ask the agent to hide actions from the user or to ignore other instructions.
Layout
my-skill/
SKILL.md
scripts/ optional code the skill runs
references/ optional long documents, linked from SKILL.md
tests/ cases.json or test_*.py
evals/ evals.json for checking model behaviourErrors
If the user cannot give examples, write the description from the stated goal and mark the skill as a draft in
metadata.
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.

