RAG Onboard Context

RAG Onboard Context 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 Onboard Context

Copy RAG Onboard Context 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-onboard-context ~/.claude/skills/rag-onboard-context

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

What RAG Onboard Context does

RAG Onboard Context probes the indexed knowledge base at the start of a session or after a topic shift. It checks index stats, categories, and a few sample searches so the agent knows what content is available before answering.

RAG Onboard Context is cataloged under AI Engineering on DirSkills. RAG Onboard Context comes from a repository tagged antigravity, claude, claude-code, claude-code-cli and codex.

Documentation

README

Excerpt

rag-onboard-context — know your corpus before you use it

When to use this skill

Run this skill:

At the start of any new conversation where knowledge-rag is available and the user is about to ask substantive questions
When the topic shifts significantly (from security to infrastructure, from dev to research)
After a major reindex (the corpus content changed under you)
When the user says "I just indexed new docs" or similar

Do NOT run repeatedly — once per session is usually enough. The query_cache keeps it cheap even if you do.

What this skill commits to

Before diving into task-specific work, the agent gathers a mental map of the corpus:

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

Frequently asked about RAG Onboard Context

What else does lyonzin publish alongside RAG Onboard Context?
RAG Onboard Context 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 Onboard Context 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 Onboard Context compare to other AI Engineering skills?
RAG Onboard Context ranks #2242 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 Onboard Context against them. Open each page to compare what they document and how they install.