rag-to-skill
CommunityConvert JSONL Rag sources into Claude Code Skills
Software Engineering#workflow#validation#claude-code#jsonl#skill-building#rag-to-skill#reference-tracing
AuthorJia-Hong-Peng
Version1.0.0
Installs0
System Documentation
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 → PLAN → SCAFFOLD → BUILD → ANCHOR → AUDIT → 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.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: rag-to-skill Download link: https://github.com/Jia-Hong-Peng/rag-to-skill/archive/main.zip#rag-to-skill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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