Skill Unit Metadata Generator
OfficialCreate comprehensive metadata for AI skill units from directory analysis.
Content & Communication#metadata#repository management#directory analysis#skill detection#automatic tagging
AuthorSnowflake-Labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the extraction and synthesis of detailed metadata for AI skill units by analyzing directory structures and file contents.
Core Features & Use Cases
- Directory Analysis: Scans a given repository to identify valid skill units based on file presence and content.
- Metadata Generation: Produces structured metadata including name, description, request parameters, complexity level, category, keywords, dependencies, components, and toxicity assessments.
- Use Case: Facilitates AI training and knowledge base curation by automatically cataloging skills with rich, standardized metadata.
Quick Start
Provide the root directory of your repository and run the tool to generate metadata for all skill units present.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Skill Unit Metadata Generator Download link: https://github.com/Snowflake-Labs/cortex-code-migrations/archive/main.zip#skill-unit-metadata-generator Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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