creating-agent-skills
Skill2 starsChanged 8 months agoMITView on GitHub
Creates well-structured Agent Skills following best practices. Use when building new skills for Claude Code, designing skill directory structures, writing SKILL.md files, or improving existing skills with progressive disclosure patterns.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- AgentWorkforce/relaytheir own version, first seen Sep 21, 2026
- ravid7000/skillstheir own version, first seen Aug 1, 2026
- pr-pm/prpmtheir own version, first seen Feb 24, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- AgentWorkforce/relay★ 1.1ksame name
- pr-pm/prpm★ 124same name
- ravid7000/skills★ 1same name
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 repository29 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- building-lit-componentsSkill
- building-static-site-rss-feedsSkill
- building-templ-componentsSkill
- checking-wsh-vrtSkill
- committing-codeSkill
- creating-test-casesSkill
- deploying-with-isucon-ansibleSkill
- designing-isucon-architectureSkill
- frontend-designSkill
- operating-isucon-servers-via-sshSkill
- planning-wsh-improvementsSkill
- porting-isucon-rust-to-goSkill
- releasing-zig-with-goreleaserSkill
- running-isucon-as-an-agentSkill
- sharing-sockets-with-so-reuseport-in-zigSkill
- tuning-isucon-linux-and-nginxSkill
- using-go-tool-directiveSkill
- using-grafana-mcpSkill
- using-unocss-with-templSkill
- winning-isuconSkill
- winning-web-speed-hackathonSkill
- writing-feature-specSkill
- writing-implementation-tasksSkill
- writing-isucon-arch-subagent-tasksSkill
- writing-project-constitutionSkill
- writing-technical-designSkill
- writing-zig-cli-toolsSkill
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 3 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
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
- Very specific: line 16
Create a skill directory with SKILL.md:
- Distinctive: line 50
Use gerund form (verb + -ing) for clarity:
- Very specific: line 57
No consecutive hyphens (--)
- Very specific: line 81
Keep SKILL.md under 500 lines.
- Distinctive: line 101
Avoid time-sensitive info: Use "old patterns" sections instead
- Distinctive: line 105
Before finalizing a skill:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill 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
Creating Agent Skills
Agent Skills extend Claude's capabilities with specialized knowledge and workflows. This skill helps you create effective skills that follow best practices.
Use this skill when creating new skills, improving existing ones, or designing skill architecture for projects.
Supporting files: SPECIFICATION.md for format details, BEST-PRACTICES.md for authoring guidelines, TEMPLATES.md for starter templates.
Quick Start
Create a skill directory with SKILL.md:
my-skill/
├── SKILL.md # Required: metadata + instructions
├── scripts/ # Optional: executable code
├── references/ # Optional: detailed docs
└── assets/ # Optional: templates, resourcesSKILL.md Structure
---
name: skill-name # lowercase, hyphens only, max 64 chars
description: What it does and when to use it. # max 1024 chars
---
# Skill Title
Brief intro and "Use this skill when..." statement.
## Quick Start
[Most common use case with example]
## Core Features
[Main capabilities organized by task]
## Support Files
[Links to reference files for detailed info]Naming Conventions
Use gerund form (verb + -ing) for clarity:
processing-pdfs(preferred)analyzing-data(preferred)pdf-processor(acceptable)
Rules:
- Lowercase letters, numbers, hyphens only
- No consecutive hyphens (
--) - Cannot start/end with hyphen
- Max 64 characters
Writing Descriptions
Descriptions drive skill discovery. Include:
- What it does (actions/capabilities)
- When to use it (triggers/contexts)
Good:
description: Extracts text and tables from PDF files, fills forms, merges documents. Use when working with PDF files or when user mentions PDFs, forms, or document extraction.Bad:
description: Helps with PDFs. # Too vagueAlways use third person (description is injected into system prompt).
Progressive Disclosure
Keep SKILL.md under 500 lines. Split content strategically:
- Metadata (~100 tokens): Loaded at startup for all skills
- SKILL.md body (<5000 tokens): Loaded when skill activates
- Reference files: Loaded only when needed
## Detailed Topics
**Form filling**: See [FORMS.md](references/FORMS.md)
**API reference**: See [REFERENCE.md](references/REFERENCE.md)
**Examples**: See [EXAMPLES.md](references/EXAMPLES.md)Key Principles
- Be concise: Claude is smart; only add context it doesn't have
- Test with all models: What works for Opus may need detail for Haiku
- Use workflows: Break complex tasks into clear, sequential steps
- Include feedback loops: Validate → fix → repeat for quality
- Avoid time-sensitive info: Use "old patterns" sections instead
Checklist
Before finalizing a skill:
- Name uses lowercase/hyphens, matches directory name
- Description explains what AND when
- SKILL.md under 500 lines
- Reference files for detailed content
- Examples are concrete, not abstract
- Tested with real usage scenarios
Resources
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.

