data-enrichment

Enrich model metadata with LLM-generated descriptions and validation.

Updated Aug 23, 2026

Search Tags:#validation #llm #enrichment #data-quality #transforms #AIModel

One-click install

npx skills add https://github.com/bradennapier/ai-model-registry --skill data-enrichment

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: data-enrichment
Source: https://github.com/bradennapier/ai-model-registry/tree/main/.claude/skills/data-enrichment
Command: npx skills add https://github.com/bradennapier/ai-model-registry --skill data-enrichment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, zod, zod/v4.

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.