Our review
This skill demonstrates how to structure a full Codex skill with scripts, references, assets, and examples.
Strengths
- Provides a clear template for organizing a Codex skill.
- Includes automated scripts, reference documents, and concrete examples.
- Helps learn best practices for creating new skills.
Limitations
- Does not contain any useful functionality by itself, only a demonstration.
- Does not cover advanced cases of structuring complex skills.
Use this skill when you want to learn or teach the basic structure of a Codex skill.
Do not use it for a real project, as it is a pedagogical example without functional content.
Security analysis
SafeThe skill only documents directory structure and suggests running a local validate.sh script, which is a standard development practice. No destructive, exfiltrating, or obfuscated actions are described.
No concerns found
Examples
Show me the structure of a Codex skill with scripts, references, assets, and examples.Create an example Codex skill directory following the example-skill structure.name: example-skill description: Example skill demonstrating the full skill directory structure with scripts, references, assets, and examples. Use when learning how to structure Codex skills.
Example Skill
This is a demonstration skill showing all possible subdirectories.
Quick Start
- Check
references/patterns.mdfor detailed patterns - Use
assets/component-template.tsxas a starter - Run
scripts/validate.shto check your code - See
examples/good-example.tsxfor reference
Structure
scripts/- Executable automation scriptsreferences/- Detailed documentationassets/- Templates and resourcesexamples/- Real code examples
API Documentation Generator
Documentation
Automatically generates OpenAPI/Swagger API documentation.
Technical Writer
Documentation
Writes clear technical documentation following top style guides.
Documentation Maintenance
Documentation
This skill provides a structured workflow for updating project documentation including CLAUDE.md, README, and CHANGELOG. It walks through phases like inventorying existing docs, analyzing git history for needed changes, optimizing for AI readability, and ensuring cross-document consistency. Use it when synchronizing documentation with code changes or improving documentation effectiveness for AI coding agents.