skillcrafter

Author, validate, and audit AI skills through a multi-phase quality process.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/duriandurino/openclawrino --skill skillcrafter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skillcrafter
Source: https://github.com/duriandurino/openclawrino/tree/main/skillcrafter
Command: npx skills add https://github.com/duriandurino/openclawrino --skill skillcrafter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyYAML, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a strict, example-driven framework for authoring, improving, and auditing AI skills, ensuring they meet high quality standards and avoid common pitfalls.

Core Features & Use Cases

  • Skill Authoring: Guides users through a 5-phase process for creating new skills from scratch.
  • Quality Assurance: Enforces strict validation rules, checks for anti-patterns, and requires concrete examples.
  • Skill Auditing: Helps identify and rectify issues in existing skills related to structure, content, and adherence to best practices.
  • Use Case: When developing a new AI skill for managing cloud resources, use skillcrafter to ensure the SKILL.md is well-structured, includes clear triggers, and references necessary scripts or documentation.

Quick Start

Use skillcrafter to validate the structure and quality of the 'pdf-processing' skill.

Frequently Asked Questions about skillcrafter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate the structure and quality of an AI skill?

You validate an AI skill by enforcing a rigorous, multi-phase process that checks for strict adherence to file structures, content guidelines, and anti-pattern detection. This ensures operational integrity and discoverability.

What is the best way to author a new AI skill from scratch?

The best way to author an AI skill is to follow a 5-phase creation process that emphasizes concrete examples, progressive disclosure, and adherence to strict quality gates. This framework prevents common pitfalls.

How does skill auditing work for improving existing AI development components?

Skill auditing works by identifying and rectifying structural issues in existing AI development components to ensure adherence to best practices. It enforces validation rules and checks for anti-patterns.

Do I need PyYAML to use skillcrafter for quality assurance?

Yes, PyYAML is a required dependency to run the validation scripts and quality assurance checks. It is necessary for parsing the specific file structures and content guidelines during the auditing process.

When should I use a multi-phase validation process for AI skill authoring?

You should use a multi-phase validation process for AI skill authoring when you need to ensure high-quality standards, avoid common pitfalls, and enforce strict content guidelines. This is critical for operational integrity.