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valid-skill skill

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/tests/scripts/fixtures/skills/valid-skill

This skill helps you validate Python projects by enforcing standards, tests, and documentation practices across levels of mastery.

npx playbooks add skill williamzujkowski/standards --skill valid-skill

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SKILL.md

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---
name: valid-skill
description: A valid skill for testing with proper structure and content
version: 1.0.0
standard_code: TEST-001
---

# Valid Skill

## Level 1: Quick Start

### What You'll Learn

This is a properly structured skill for testing validation.

### Core Principles

- **Principle 1**: Follow standards
- **Principle 2**: Write tests
- **Principle 3**: Document code
- **Principle 4**: Review regularly

### Quick Reference

```python
# Example code
def hello_world():
    return "Hello, World!"
```

### Essential Checklist

- [ ] Review principles
- [ ] Run tests
- [ ] Check coverage

### Common Pitfalls

- Skipping tests
- Poor documentation

---

## Level 2: Implementation

### Deep Dive Topics

Detailed implementation guidance goes here.

### Implementation Patterns

Pattern examples and best practices.

### Integration Points

- Related skills
- Cross-references

---

## Level 3: Mastery

### Advanced Topics

Advanced implementation details.

### Resources

- [Example Link](https://example.com)

### Templates

See `./templates/` for templates.

### Scripts

See `./scripts/` for scripts.

---

## Bundled Resources

- Templates in `./templates/`
- Scripts in `./scripts/`
- Resources in `./resources/`

Overview

This skill is a concise, well-structured starter for validating development workflows and teaching core standards. It guides users through quick-start steps, implementation patterns, and advanced mastery topics to help launch projects with consistent practices. It is optimized for testing and validation of tooling and processes in Python projects.

How this skill works

The skill inspects project structure, provides a small example function and a checklist for verification, and outlines principles like testing, documentation, and reviews. It presents layered learning: a quick start, implementation patterns, and advanced resources, plus bundled templates and scripts for immediate use. Users follow the checklist, run tests, and adopt the patterns to validate their project setup.

When to use it

Starting a new Python project and needing a validated baseline
Teaching or onboarding engineers on standards and best practices
Running quick checks to ensure tests and documentation exist
Creating templates and scripts to accelerate standardized setups
Validating CI/CD and code review workflows before release

Best practices

Adopt the core principles: standards, tests, documentation, and regular reviews
Run the provided quick checklist and automated tests as part of CI
Keep example code minimal and focused for clarity
Use bundled templates and scripts to enforce consistent project layout
Document integration points and cross-references for team onboarding

Example use cases

Initialize a new repository with a tested, documented baseline in under a minute
Run a training session that walks engineers through standards and sample code
Integrate templates and scripts into CI to enforce project policies
Audit an existing project for missing tests, documentation, or review processes
Prototype a small Python module and validate it against the quick checklist

FAQ

What languages and files are included?

The skill centers on Python examples and includes templates, scripts, and resource pointers to standardize project setup.

How do I validate a project using this skill?

Follow the quick-start checklist: review principles, run tests, and check coverage; then adopt templates and scripts to automate checks in CI.