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subhansh-devsubhansh-dev/agent-maxxing/CONTRIBUTING/SKILL.md

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

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.
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  • MicrosoftSkill

    worktree

    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.

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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
  1. Distinctive:

    Create your skill file following the template below

    line 20
  2. Distinctive:

    Test with Claude Code, Codex, or any compatible agent

    line 21
  3. Distinctive:

    Add real-world examples and use cases

    line 26
  4. Distinctive:

    Check if the issue already exists

    line 42
  5. Distinctive:

    Every skill should follow this structure:

    line 48
  6. Distinctive:

    Write like you're talking to a smart friend

    line 97
  7. Distinctive:

    Avoid AI slop words (delve, tapestry, crucial, pivotal)

    line 99
  8. Distinctive:

    Use real, runnable code

    line 111
  9. Distinctive:

    Add comments for non-obvious logic

    line 114
  10. Distinctive:

    Every skill should be:

    line 118
  11. Distinctive:

    All submissions go through review

    line 126

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

  1. Fork the repository
  2. Choose the appropriate folder:
    • frontend-design/ — UI, CSS, motion, typography
    • engineering/ — Code, security, testing, debugging
    • content/ — Writing, humanization
    • visual/ — Diagrams, memes, canvas
    • agent-meta/ — Self-improvement, skill creation
    • workflows/ — Task management, git, orchestration
    • adaptation/ — Cross-platform, responsive
    • components/ — Reusable UI patterns
    • system-prompts/ — Extracted from top AI agents
  3. Create your skill file following the template below
  4. Test with Claude Code, Codex, or any compatible agent
  5. 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.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.