Rag Cite Sources

Rag Cite Sources is an AI Engineering skill for Claude Code, published by lyonzin in knowledge-rag.

265 stars38 forkson lyonzin/knowledge-ragAdded 2026/09/02+2% in starsRepository updated 2026/09/01

antigravityclaudeclaude-codeclaude-code-clicodexcursor-aidocument-searchhybrid-searchinteligencia-artificialknowledge-baselocal-aimcpmcp-serverragrag-chatbotrag-pipelinererankingretrieval-augmented-generationsemantic-searchvector-database

Install in seconds

Install Rag Cite Sources

Copy Rag Cite Sources into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/lyonzin/knowledge-rag/tree/master/skills/foundation/rag-cite-sources ~/.claude/skills/rag-cite-sources

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/lyonzin/knowledge-rag.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/foundation/rag-cite-sources/SKILL.md in lyonzin/knowledge-rag
Installs to: ~/.claude/skills/rag-cite-sources
Collection: One of 10 skills cataloged from this repository
Category: AI Engineering — 2631 skills

What Rag Cite Sources does

Rag Cite Sources requires every technical claim drawn from the local corpus to include an inline path:line or path:section citation. Use it when answers quote, paraphrase, or act on information retrieved with search_knowledge or get_document.

Rag Cite Sources is cataloged under AI Engineering on DirSkills. Rag Cite Sources comes from a repository tagged antigravity, claude, claude-code, claude-code-cli and codex.

Documentation

README

Excerpt

rag-cite-sources — every claim traces to a source

When to use this skill

Whenever an answer contains any of these:

A specific number, threshold, config value, or version taken from the corpus
A statement about how the system currently works, was designed, or was decided
A code snippet, function signature, or API contract quoted from indexed files
A "the runbook says", "the ADR says", "the RFC decided", "we agreed" claim
A recommendation grounded in prior team practice

Basically: if a curious reader would want to double-check where you got that, cite.

What this skill commits to

Every technical claim in the response carries a citation of the form:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Rag Cite Sources

What else does lyonzin publish alongside Rag Cite Sources?
Rag Cite Sources is one of 10 skills that DirSkills catalogs from lyonzin/knowledge-rag, the repository it ships in. Its siblings there include RAG Check First, RAG Code Review and RAG Evaluate Quality. Each one is a separate skill with its own page in this directory, installs the same way Rag Cite Sources does, and is maintained by lyonzin in that same repository. The rest of the collection is listed on the lyonzin/knowledge-rag page.
How does Rag Cite Sources compare to other AI Engineering skills?
Rag Cite Sources ranks #2237 by stars among the 2631 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Rag Cite Sources against them. Open each page to compare what they document and how they install.