rag-to-skill

Convert JSONL RAG data into a structured Claude Code Skill with verifiable references.

68|9|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/Jia-Hong-Peng/rag-to-skill --skill rag-to-skill
Or copy as Structured Prompt for Agentβ–Ό
Please help me install this Agent Skill.
Skill: rag-to-skill
Source: https://github.com/Jia-Hong-Peng/rag-to-skill/tree/main
Command: npx skills add https://github.com/Jia-Hong-Peng/rag-to-skill --skill rag-to-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

πŸ’‘ This Skill includes references (resource) components.

What problem does it solve?

rag-to-skill provides an end-to-end workflow to transform JSONL Rag data into a self-contained Claude Code Skill, ensuring every entity has a verifiable reference and the skill can be deployed and shared.

Core Features & Use Cases

  • Seven-stage workflow: JSONL scan β†’ PLAN β†’ SCAFFOLD β†’ BUILD β†’ ANCHOR β†’ AUDIT β†’ SHIP, with optional references and assets.
  • Self-contained, installable to Claude Code and portable across projects.
  • Strong validation and governance: built-in frontmatter checks, RAG anchor density checks, and coverage verification via a portable validate.py.

Quick Start

Run the rag-to-skill workflow on your JSONL file to generate a Claude Code Skill and install it.

Frequently Asked Questions about rag-to-skill

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

FAQPage Schema
How do I convert JSONL RAG data into a Claude Code Skill?β–Ό

You convert JSONL RAG data into a Claude Code Skill by running the rag-to-skill workflow, which guides you through seven stages from scanning to shipping, generating an installable skill with frontmatter metadata and a references directory.

What is the best way to ensure verifiable references when building a skill from RAG sources?β–Ό

The best way to ensure verifiable references is using the rag-to-skill workflow's ANCHOR and AUDIT stages, which perform RAG anchor density checks and coverage verification via a portable validate.py script.

Can I install a skill generated from JSONL RAG data across multiple projects?β–Ό

Yes, you can install a skill generated from JSONL RAG data across multiple projects because rag-to-skill creates a self-contained, installable skill under ~/.claude/skills that is fully portable.

Does the JSONL to skill workflow include validation steps for frontmatter and coverage?β–Ό

Yes, the JSONL to skill workflow includes strong validation and governance steps, performing built-in frontmatter checks, RAG anchor density checks, and coverage verification before shipping.

What stages are involved in transforming RAG sources into an installable skill?β–Ό

The stages involved in transforming RAG sources into an installable skill are JSONL scan, PLAN, SCAFFOLD, BUILD, ANCHOR, AUDIT, and SHIP, with optional references and assets included.