data-enrichment
CommunityLLM-powered enrichment for model data.
Authorbradennapier
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Uses LLM inference to fill missing model data, enhance descriptions, and validate accuracy to improve data quality.
Core Features & Use Cases
- Description enrichment: Improve sparse official docs with concise, informative summaries.
- LLM validation: Check pricing, features, and context windows for plausibility.
- Data quality scoring: Attach confidence and source tracking to enriched fields.
Quick Start
Use the enrichment workflow to enhance model metadata and validate outputs before publishing.
Dependency Matrix
Required Modules
openaizodzod/v4
Components
Standard package💻 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: data-enrichment Download link: https://github.com/bradennapier/ai-model-registry/archive/main.zip#data-enrichment Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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