CONTRIBUTING
Skill2 starsChanged 4 months agoMITView on GitHub
Thanks for considering contributing! Here's how to add skills, improve existing ones, or share workflow examples. Used these skills successfully? Add an example to examples/: Every skill should follow this structure: json { "field": "description" } Every skill should be: - Actionable — concrete steps, not vague advice - Tested — verified with real agents - Specific — named tools, specific patterns, measurable outcomes - Concise — respect the reader's time Open a GitHub Discussion. We're friendly.
20 other projects use a version of this.
Adopted by
Most recently taken up by
- kortix-ai/sunatheir own version, first seen Nov 8, 2026
- kortix-ai/CompanyOStheir own version, first seen Nov 8, 2026
- NVIDIA-NeMo/RLtheir own version, first seen Nov 1, 2026
- ZaxbyHub/opencode-swarmtheir own version, first seen Oct 30, 2026
- coinbase/x402their own version, first seen Oct 17, 2026
- manastalukdar/ai-devstudiotheir own version, first seen Oct 13, 2026
Used with
Projects with it also use e2e, worktree and 1 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.
SentrySkille2e
Run E2E tests for Sentry JavaScript SDK test applications
Also in 3 projects that use this
MicrosoftSkillworktree
Create, reuse or clean up a dedicated git worktree for working on a pull request or a private branch. Use from any PR-scoped workflow that needs an isolated checkout to keep current code and build output untouched.
Also in 3 projects that use this
NVIDIASkilltesting
Run Python and Rust tests for physicsnemo-curator using uv + pytest with coverage reporting via pytest-cov, and cargo-nextest for Rust tests. Includes benchmark workflows with pytest-benchmark and criterion.
Also in 3 projects that use this
Other versions20 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 20
- kortix-ai/suna★ 21ksame name
- kortix-ai/CompanyOS★ 21ksame name
- x402-foundation/x402★ 6.8ksame name
- Blaizzy/mlx-vlm★ 5.8ksame name
- cloudflare/cloudflare-docs★ 5.4ksame name
- crmne/ruby_llm★ 4.5ksame name
- GoogleCloudPlatform/cloud-foundation-fabric★ 2.1ksame name
- NVIDIA-NeMo/RL★ 2.1ksame name
- Dpro-at/Tel-Agent★ 1.1ksame name
- butterbase-ai/butterbase-plugin★ 535same name
10 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 repository6 other files it gives its agents.
- 00-INDEXSkill
- 00-OVERVIEWSkill
- fine-tune-agentSkill
- integrate-skillsSkill
- READMESkill
- SECURITYSkill
The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 11 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 20 edited versions we read keep these.
11
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 20
Create your skill file following the template below
- Distinctive: line 21
Test with Claude Code, Codex, or any compatible agent
- Distinctive: line 26
Add real-world examples and use cases
- Distinctive: line 42
Check if the issue already exists
- Distinctive: line 48
Every skill should follow this structure:
- Distinctive: line 97
Write like you're talking to a smart friend
- Distinctive: line 99
Avoid AI slop words (delve, tapestry, crucial, pivotal)
- Distinctive: line 111
Use real, runnable code
- Distinctive: line 114
Add comments for non-obvious logic
- Distinctive: line 118
Every skill should be:
- Distinctive: line 126
All submissions go through review
“Common” is measured: kept by at least 6 in 10 of the 20 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
Contributing to Agent Maxxing
Thanks for considering contributing! Here's how to add skills, improve existing ones, or share workflow examples.
How to Contribute
1. Add a New Skill
- Fork the repository
- Choose the appropriate folder:
frontend-design/— UI, CSS, motion, typographyengineering/— Code, security, testing, debuggingcontent/— Writing, humanizationvisual/— Diagrams, memes, canvasagent-meta/— Self-improvement, skill creationworkflows/— Task management, git, orchestrationadaptation/— Cross-platform, responsivecomponents/— Reusable UI patternssystem-prompts/— Extracted from top AI agents
- Create your skill file following the template below
- Test with Claude Code, Codex, or any compatible agent
- Submit a Pull Request
2. Improve Existing Skills
- Add real-world examples and use cases
- Enhance with modern patterns
- Fix typos, improve clarity
- Add success metrics
3. Share Workflow Examples
Used these skills successfully? Add an example to examples/:
- Describe the scenario
- List the skills you used
- Show the step-by-step workflow
- Include the outcome
4. Report Issues
- Check if the issue already exists
- Provide clear reproduction steps
- Include context about your use case
Skill File Structure
Every skill should follow this structure:
---
name: skill-name
description: One-line description of what this skill does
---
# Skill Name
## When to Use
- Trigger condition 1
- Trigger condition 2
- "Do X when Y" pattern
## Instructions
### Phase 1: [Name]
1. Step one
2. Step two
### Phase 2: [Name]
1. Step one
2. Step two
## Rules
- Rule 1
- Rule 2
## Examples
### Example 1: [Scenario]
[Concrete example of the skill in action]
### Example 2: [Scenario]
[Another concrete example]
## Output Format
```json
{
"field": "description"
}
## Style Guide
### Writing
- Write like you're talking to a smart friend
- Be direct, opinionated, specific
- Avoid AI slop words (delve, tapestry, crucial, pivotal)
- Use active voice
- Vary sentence rhythm
### Formatting
- Headers for structure, not decoration
- Bold for key terms on first use
- Code blocks for code, not emphasis
- Lists for parallel items, not prose
- Tables for comparisons
### Code Examples
- Use real, runnable code
- Include error handling
- Match common patterns
- Add comments for non-obvious logic
## Quality Standards
Every skill should be:
- **Actionable** — concrete steps, not vague advice
- **Tested** — verified with real agents
- **Specific** — named tools, specific patterns, measurable outcomes
- **Concise** — respect the reader's time
## Review Process
1. All submissions go through review
2. We check for: clarity, accuracy, actionability
3. We verify: tested with at least one agent
4. We ensure: follows the style guide
## Questions?
Open a GitHub Discussion. We're friendly.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.

