skill-builder
Skill1 starsChanged 3 months agoMITView on GitHub
Creates a new reusable agent skill from a plain-language description of what the user wants. Use when the user says "create a skill for X", "make me a skill that Y", "build a skill for Z", "generate a skill", "I want a skill that...", or otherwise asks to author a skill from their own words. Also use when the user wants to turn a recurring task or workflow into a shareable, self-contained skill.
74 other projects use a version of this.
Adopted by
Most recently taken up by
- Kikobazz123/lordgen-skill-buildertheir own version, first seen Nov 8, 2026
- AsiaOstrich/EngramGraphtheir own version, first seen Nov 8, 2026
- shetengteng/skillix-hubtheir own version, first seen Nov 8, 2026
- davidgfolch/AI-job-searchtheir own version, first seen Nov 8, 2026
- RKelln/hermes_skillstheir own version, first seen Nov 7, 2026
- beCyborg/jadlis-skill-buildertheir own version, first seen Nov 6, 2026
Used with
Projects with it also use contract-test, literature-research and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
squall-chuaSkillcontract-test
Test a running API against its own contract — OpenAPI, GraphQL, protobuf, or AsyncAPI — from the outside, and report every drift between what the contract promises and what the API does.
Also in 3 projects that use this
nickjwellsSkillliterature-research
Search academic literature and perform deep research reviews. Use when user asks to search PubMed, find academic papers, or do literature reviews.
Also in 3 projects that use this
nopandererSkillcommit-and-push
Automatically analyze git changes, generate Conventional Commits compliant commit messages, commit changes, and push to remote in a single automated workflow. Use when the user invokes /commit-and-push or explicitly requests to automatically commit and push changes following Conventional Commits format (feat:, fix:, docs:, etc.). This skill provides a fully automated git workflow without manual intervention.
Also in 3 projects that use this
MicrosoftSkillskill-reviewer
Review skill PRs with structured severity-rated feedback covering token budgets, routing conflicts, and repo conventions. WHEN: \"review skill\", \"review skill PR\", \"review skill changes\", \"check skill quality\", \"skill PR feedback\".
Also in 3 projects that use this
SkillPilotCHSkilllevel-up
Eine Automatisierung pro Woche finden, scopen, shippen. Output landet als proposed-Eintrag in cadence.md mit konkreten Implementations-Schritten.
Also in 3 projects that use this
MicrosoftSkillexcalidraw-diagram
Create Excalidraw diagram JSON files that make visual arguments. Use when the user wants to visualize workflows, architectures, or concepts.
Also in 4 projects that use this
Other versions74 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 74
- yusufkaraaslan/Skill_Seekers★ 15ksame name
- block/berd★ 1ksame name
- boshu2/agentops★ 453same name
- metaskills/skill-builder★ 112same name
- AsiaOstrich/universal-dev-standards★ 84same name
- Amazon-Quick/Amazon-Quick-official-catalog★ 50same name
- nateherkai/a-bunch-of-skills★ 41same name
- clasen/Skills★ 40same name
- sanqi-cd/Sanqi-Skills★ 28same name
- arctan303/creator.skill★ 19same name
64 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 repository32 other files it gives its agents.
- opencode/AGENTS.mdAGENTS.md
- browser-useSkill
- cavecrewSkill
- caveman-commitSkill
- caveman-compressSkill
- caveman-helpSkill
- caveman-reviewSkill
- cavemanSkill
- caveman-statsSkill
- ci-security-scanning-with-strixSkill
- context7-mcpSkill
- datapack-builderSkill
- docxSkill
- find-skillsSkill
- fix-security-vulnerabilities-with-strixSkill
- grill-meSkill
- humanizerSkill
- i-have-adhdSkill
- impeccableSkill
- managed-pentesting-with-strixSkill
- no-ai-slopSkill
- pdfSkill
- penetration-testing-with-strixSkill
- ponytail-auditSkill
- ponytail-debtSkill
- ponytail-gainSkill
- ponytail-helpSkill
- ponytail-reviewSkill
- ponytailSkill
- product-brainstormingSkill
- security-auditSkill
- ui-ux-pro-maxSkill
The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 6 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 65 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 23
Write to ~/.agents/skills/<name>/SKILL.md (plus optional supporting files in the same folder).
- Very specific: line 48
If the task needs code, put it in a scripts/ subfolder and reference it relatively.
- Distinctive: line 49
Prefer the simplest working version (YAGNI).
- Distinctive: line 50
Do NOT add fabricated flags, dependencies, or tools the user didn't mention.
- Distinctive: line 55
Read the user's request. Identify: goal, domain, input, output, trigger phrases.
- Distinctive: line 56
Ask ONE clarifying question only if a decision materially changes the skill (language?
- Very specific: line 59
Write ~/.agents/skills/<name>/SKILL.md with frontmatter + body.
- Distinctive: line 60
If supporting scripts/templates are needed, write them under the same folder.
- Very specific: line 61
Verify: confirm the file path and a one-line summary of what the skill does.
- Distinctive: line 80
No secrets/absolute private paths hard-coded unless the user asked.
“Common” is measured: kept by at least 6 in 10 of the 65 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 Builder
Turn the user's plain-language request into a complete, production-ready agent skill saved to the local skills directory.
Goal
Given a user description like "crea una skill che compone il mio CV markdown in PDF" or "a skill that lints my dockerfiles", produce a working skill the agent can load on demand.
Output
Write to ~/.agents/skills/<name>/SKILL.md (plus optional supporting files in the same folder).
The name is derived from the description: lowercase, kebab-case, concise.
Structure of a Good Skill
A skill is a SKILL.md file with YAML frontmatter, plus optional companion files (scripts,
references, templates) in the same directory.
- Frontmatter (required):
nameanddescription. Thedescriptionmust be specific enough that the agent can auto-trigger the skill later. Include concrete trigger phrases the user would say. Keep it under ~15 lines. - Body: Markdown with clear sections:
# <Name>— human title.## When to Use— exact trigger conditions.## Workflow/ steps — numbered, concrete, actionable.- Rules, gotchas, examples, verification steps.
- Note any relative helper files (scripts/, references/).
Scaffolding Rules
- Match the user's language (if they speak Italian, write the skill body in Italian unless they ask
otherwise). Keep
nameanddescriptionin English for registry compatibility. - Reuse the user's existing conventions: read a sibling skill's
SKILL.mdfirst to mirror structure (frontmatter style, heading levels, tone). - If the task needs code, put it in a
scripts/subfolder and reference it relatively. - Prefer the simplest working version (YAGNI). Add only what the task actually needs.
- Do NOT add fabricated flags, dependencies, or tools the user didn't mention. If unsure, ask one clarifying question before writing.
Procedure
- Read the user's request. Identify: goal, domain, input, output, trigger phrases.
- Ask ONE clarifying question only if a decision materially changes the skill (language? scope? strictness? output location?). Otherwise proceed.
- Derive
namefrom the description. - Write
~/.agents/skills/<name>/SKILL.mdwith frontmatter + body. - If supporting scripts/templates are needed, write them under the same folder.
- Verify: confirm the file path and a one-line summary of what the skill does. Confirm it will be
auto-discovered (it lives in
~/.agents/skills/).
Example Frontmatter
---
name: cv-to-pdf
description: >
Composes the user's markdown CV into a styled PDF. Use when the user says
"componi il mio cv in pdf", "create a PDF resume", "export my cv to pdf".
---Quality Checks
nameis present and kebab-case.descriptioncontains trigger phrases and says when to use the skill.- Body is actionable (numbered steps) and self-contained.
- No secrets/absolute private paths hard-coded unless the user asked.
- Language matches the user's request.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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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.

