skill-author
Skill4 starsChanged 13 days agoMITView on GitHub
Guided way to create or edit a skill, command or agent in the mallard repo: frontmatter, trigger phrases in Spanish, a "what it does not do" section, version bump rule, writing pass, lint. Use when the user says "crea una skill", "añade una skill a mallard", "mejora la descripción de la skill", "esta skill no se dispara", "nueva skill para X", or edits anything under skills/ or claude/.
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
- mandasTeam/skill-authortheir own version, first seen Nov 1, 2026
- Lethe044/agentskill-kittheir 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
- Lethe044/agentskill-kit★ 48same 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
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 repository37 other files it gives its agents.
- blast-radiusSkill
- elementflow-kbSkill
- gitlab-changelog-releaseSkill
- gitlab-ci-quality-gatesSkill
- gitlab-project-bootstrapSkill
- gitlab-security-setupSkill
- gitlab-wiki-bootstrapSkill
- lando-checkSkill
- lando-img-placeholderSkill
- lando-mail-smtpSkill
- lando-setupSkill
- mallard-releaseSkill
- mr-flowSkill
- no-commentsSkill
- paginated-report-pdfSkill
- panda-kbSkill
- ploi-prestashop-deploySkill
- prestashop-kbSkill
- ps-consoleSkill
- ps-css-buildSkill
- ps-demo-userSkill
- ps-email-previewSkill
- ps-image-regenSkill
- ps-invoice-previewSkill
- ps-new-projectSkill
- ps-one-page-checkoutSkill
- ps-project-docSkill
- ps-security-auditSkill
- ps-storefront-polishSkill
- ps-theme-cacheSkill
- ps-translateSkill
- ps-view-transitionsSkill
- ps-watchSkill
- reflectSkill
- show-me-your-workSkill
- task-contextSkill
- verify-ps-projectSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 18 edited versions we read keep these.
3
Distinctive
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
- could be automatic: a setting could enforce it
- Distinctive: line 25
If a skill with the same job exists, edit it instead of adding another.
- Very specific: line 61
Add the skill to the README table, then run scripts/lint-skills.sh.
- Distinctive: line 62
Test the trigger: read the description as the model would and check that three real phrasings would fire it and one unrelated phrasing …
- Distinctive: line 64
Never commit, tag or release without the user asking.
“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
Adapted from pstack's skill-creation flow plus technical-writing and unslop. The release steps live in mallard-release and docs/adding-skills.md; this skill covers the writing.
1. Decide the shape
- Repeatable multi-step workflow with judgment: skill in
skills/<name>/SKILL.md. - Short entry point the user types (
/name): command inclaude/commands/<name>.md. - Isolated expert with its own tools: agent in
claude/agents/<name>.md. - A rule that must always hold: not a skill. Encode it as a lint (
scripts/lint-skills.sh) or a CI check, and list it indocs/skill-rules.md.
If a skill with the same job exists, edit it instead of adding another.
2. Frontmatter
---
name: <dir-name>
description: >
What it does, then "Use when the user says "..."" with 4-6 real phrases in
Spanish (and English if the user mixes), plus the contexts and file names that
should fire it.
version: "0.1.0"
metadata:
author: <name>
---The description is the only text that decides whether the skill loads. Put triggers there, not in the body.
3. Body
- One sentence: what it does and the closest skill it is not (
does not set X up, use Y). - Numbered steps with real commands. Imperative voice, one action per step, one term per thing.
- A table only when comparing outcomes (symptom, cause, action).
- A "what it does not do" line. Include any action that needs the user's OK.
- Long reference material goes to
references/*.md, linked from the body.
4. Writing pass
- Cut filler: "it is important to", "make sure to", opening summaries, closing recaps.
- Short sentences, active voice, no invented jargon. Keep commands and paths exact.
- Spanish tics to drop: "cabe destacar", "es importante señalar", "en definitiva", stacked adverbs in "-mente".
5. Version and lint
- New skill:
0.1.0. Wording or small fix: patch. New step or flow: minor. Behavior change that breaks users: major. - Add the skill to the README table, then run
scripts/lint-skills.sh. Fix every error before reporting done. - Test the trigger: read the description as the model would and check that three real phrasings would fire it and one unrelated phrasing would not.
Never commit, tag or release without the user asking.
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.

