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mikekelly
mikekellyCOMMUNITY
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developing-claude-code-meta

Locate SKILL.md files and extract YAML frontmatter into structured metadata blocks.

Updated Dec 30, 2025
Search Tags:#automation#documentation#discovery#claude#readme#metadata#skill-unit
One-click install
npx skills add https://github.com/mikekelly/developing-claude-code-meta --skill developing-claude-code-meta
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: developing-claude-code-meta
Source: https://github.com/mikekelly/developing-claude-code-meta/tree/main
Command: npx skills add https://github.com/mikekelly/developing-claude-code-meta --skill developing-claude-code-meta

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the identification of valid CLAUDE Skill units in a repository by requiring a root-level SKILL.md with a YAML frontmatter, and it standardizes the generation of machine-readable metadata for discovery and automation.

Core Features & Use Cases

  • Validates Skill units by detecting SKILL.md with mandatory name and description, then extracts metadata fields.
  • Generates a complete metadata payload for each Skill unit, including name, tagline, description, request, complexity, category, keywords, dependencies, and components.
  • Supports optional resources (scripts/, references/, assets/) and records their presence in components for downstream tooling.

Quick Start

Identify the Skill unit(s) in the repository and output a YAML metadata block for each.

Frequently Asked Questions about developing-claude-code-meta

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

FAQPage Schema
How do I generate metadata for CLAUDE Skill units in a repository?▼

To generate metadata for CLAUDE Skill units, the system locates a root-level SKILL.md file with YAML frontmatter and extracts fields like name, tagline, and description to output a structured YAML metadata block.

What is a valid Skill unit for automated discovery?▼

A valid Skill unit requires a root-level SKILL.md file containing mandatory YAML frontmatter fields, specifically a name and description, to pass validation for automated metadata extraction.

How do I extract YAML frontmatter for skill discovery and automation?▼

Extracting YAML frontmatter for skill discovery involves reading the SKILL.md file at the repository root and validating its contents against official definitions to generate a machine-readable metadata payload.

What happens if no valid Skill units are found in the repository?▼

If no valid Skill units are found during repository validation, the system returns the literal string NO_VALID_SKILLS_FOUND instead of outputting a YAML metadata block.

Does metadata generation record optional resources like scripts and references?▼

Metadata generation does record optional resources like scripts, references, and assets by detecting their presence and listing them in the components field of the output metadata for downstream tooling.

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