How do I install the RAG Project Query skill?

Run npx skillmds@latest add butchokoy25/rag-project-query in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Is RAG Project Query free to use?

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Who published RAG Project Query?

butchokoy25 (@butchokoy25) published this skill. Their other Agent Skills are listed on their SkillMD profile.

RAG Project Query by butchokoy25 — Agent Skill

Name: RAG Project Query
Author: butchokoy25

File contents

RAG Project Query — Project Knowledge Graph

Query the project-level LightRAG knowledge graph for architecture decisions, conventions, dependencies, and project-specific context.

Query Modes

Mode	When to use	What it does
`hybrid` (default)	Most queries	Combines local entity relationships + global topic summaries
`local`	"What's related to X in this project?"	Traverses entity relationships from specific nodes
`global`	"What are the project conventions?"	Summarizes across all project documents
`naive`	Simple keyword lookup	Basic text search, fastest but least intelligent

How to query

Full query

node -e "
const BASE = 'http://YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT';
const API_KEY = process.env.LIGHTRAG_API_KEY || 'YOUR_API_KEY';
(async () => {
  const res = await fetch(BASE + '/query', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'X-API-Key': API_KEY
    },
    body: JSON.stringify({
      query: 'QUERY_HERE',
      mode: 'hybrid'
    })
  });
  const data = await res.json();
  console.log(JSON.stringify(data, null, 2));
})();
"

Context-only query

node -e "
const BASE = 'http://YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT';
const API_KEY = process.env.LIGHTRAG_API_KEY || 'YOUR_API_KEY';
(async () => {
  const res = await fetch(BASE + '/query', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'X-API-Key': API_KEY
    },
    body: JSON.stringify({
      query: 'QUERY_HERE',
      mode: 'hybrid',
      only_need_context: true
    })
  });
  const data = await res.json();
  console.log(typeof data === 'string' ? data : JSON.stringify(data, null, 2));
})();
"

Response format

When presenting results:

Distinguish project memory from personal memory — prefix with "Project context:" when relevant
Be concise — summarize, don't dump raw JSON
Cite the source type (e.g., "from an architecture decision stored on 2026-03-20")
Flag stale info (>30 days old)
If no results, say so — don't fabricate

Infrastructure

Server: YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT
Auth: X-API-Key header (auth-enabled mode)
Env var: LIGHTRAG_API_KEY
Workspace: Project-specific (separate from personal graph)

---name: rag-project-querydescription: Query the project-level LightRAG knowledge graph for project-specific context and decisions---# RAG Project Query — Project Knowledge GraphQuery the project-level LightRAG knowledge graph for architecture decisions, conventions, dependencies, and project-specific context.## Query Modes| Mode | When to use | What it does ||------|------------|--------------|| `hybrid` (default) | Most queries | Combines local entity relationships + global topic summaries || `local` | "What's related to X in this project?" | Traverses entity relationships from specific nodes || `global` | "What are the project conventions?" | Summarizes across all project documents || `naive` | Simple keyword lookup | Basic text search, fastest but least intelligent |## How to query### Full query```bashnode -e "const BASE = 'http://YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT';const API_KEY = process.env.LIGHTRAG_API_KEY || 'YOUR_API_KEY';(async () => { const res = await fetch(BASE + '/query', { method: 'POST', headers: { 'Content-Type': 'application/json', 'X-API-Key': API_KEY }, body: JSON.stringify({ query: 'QUERY_HERE', mode: 'hybrid' }) }); const data = await res.json(); console.log(JSON.stringify(data, null, 2));})();"```### Context-only query```bashnode -e "const BASE = 'http://YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT';const API_KEY = process.env.LIGHTRAG_API_KEY || 'YOUR_API_KEY';(async () => { const res = await fetch(BASE + '/query', { method: 'POST', headers: { 'Content-Type': 'application/json', 'X-API-Key': API_KEY }, body: JSON.stringify({ query: 'QUERY_HERE', mode: 'hybrid', only_need_context: true }) }); const data = await res.json(); console.log(typeof data === 'string' ? data : JSON.stringify(data, null, 2));})();"```## Response formatWhen presenting results:- Distinguish project memory from personal memory — prefix with "Project context:" when relevant- Be concise — summarize, don't dump raw JSON- Cite the source type (e.g., "from an architecture decision stored on 2026-03-20")- Flag stale info (>30 days old)- If no results, say so — don't fabricate## Infrastructure- **Server**: `YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT`- **Auth**: X-API-Key header (auth-enabled mode)- **Env var**: `LIGHTRAG_API_KEY`- **Workspace**: Project-specific (separate from personal graph)

Frequently asked questions

RAG Project Query