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Rag setup project

Skill butchokoy25/lightrag-claude-skills/skills/rag-setup-project

Set up LightRAG persistent memory for a Cursor project with MCP configurationFrom its SKILL.md

Install
npx -y skills add butchokoy25/lightrag-claude-skills --skill rag-setup-project

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

4 things to look at

  • reads credentialsReads from 1 credential source: `LIGHTRAG_API_KEY`.
  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 4 commands, including `node -e "const fs = require('fs'); const config = { mcpServers: { 'lightrag-projects': { command: 'npx', args: ['-y', 'lightrag-mcp@latest'], env: { LIGHTRAG_URL: 'http` and 3 more.
  • fetches URLsInstructs the agent to fetch 1 URL, including BASE + '/documents/text'.

SKILL.md

3.5 KB, 884 tokens by cl100k_base, as published. Nobody here has run it

RAG Setup Project — Configure LightRAG for a Cursor Project

Set up a project-level LightRAG knowledge graph instance for the current Cursor project. Creates the MCP configuration so Claude Code can query and store project-specific memory.

What this does

  1. Creates .cursor/mcp.json in the project root with the LightRAG MCP server entry
  2. Merges with existing MCP config if other servers are already configured
  3. Optionally seeds the graph with project context (README, package.json, architecture docs)

Setup steps

1. Create or merge MCP config

If .cursor/mcp.json does NOT exist:

node -e "
const fs = require('fs');
const config = {
  mcpServers: {
    'lightrag-projects': {
      command: 'npx',
      args: ['-y', 'lightrag-mcp@latest'],
      env: {
        LIGHTRAG_URL: 'http://YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT',
        LIGHTRAG_API_KEY: process.env.LIGHTRAG_API_KEY || 'YOUR_API_KEY'
      }
    }
  }
};
fs.mkdirSync('.cursor', { recursive: true });
fs.writeFileSync('.cursor/mcp.json', JSON.stringify(config, null, 2));
console.log('Created .cursor/mcp.json');
"

If .cursor/mcp.json already exists, merge:

node -e "
const fs = require('fs');
const existing = JSON.parse(fs.readFileSync('.cursor/mcp.json', 'utf-8'));
existing.mcpServers = existing.mcpServers || {};
existing.mcpServers['lightrag-projects'] = {
  command: 'npx',
  args: ['-y', 'lightrag-mcp@latest'],
  env: {
    LIGHTRAG_URL: 'http://YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT',
    LIGHTRAG_API_KEY: process.env.LIGHTRAG_API_KEY || 'YOUR_API_KEY'
  }
};
fs.writeFileSync('.cursor/mcp.json', JSON.stringify(existing, null, 2));
console.log('Merged lightrag-projects into existing .cursor/mcp.json');
"

2. Update .gitignore

Suggest adding .cursor/ to .gitignore if not already present:

node -e "
const fs = require('fs');
const gitignore = fs.existsSync('.gitignore') ? fs.readFileSync('.gitignore', 'utf-8') : '';
if (!gitignore.includes('.cursor')) {
  fs.appendFileSync('.gitignore', '\n# Cursor IDE config\n.cursor/\n');
  console.log('Added .cursor/ to .gitignore');
} else {
  console.log('.cursor/ already in .gitignore');
}
"

3. Optionally seed the graph

If the user wants to seed the project graph with existing docs:

node -e "
const fs = require('fs');
const BASE = 'http://YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT';
const API_KEY = process.env.LIGHTRAG_API_KEY || 'YOUR_API_KEY';

const files = ['README.md', 'package.json', 'ARCHITECTURE.md', 'CLAUDE.md']
  .filter(f => fs.existsSync(f));

(async () => {
  for (const file of files) {
    const text = fs.readFileSync(file, 'utf-8');
    await fetch(BASE + '/documents/text', {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'X-API-Key': API_KEY
      },
      body: JSON.stringify({
        file_source: '[SEED] ' + file + ' — project bootstrap',
        text: text.slice(0, 10000)
      })
    });
    console.log('Seeded:', file);
  }
  console.log('Done. Seeded ' + files.length + ' files.');
})();
"

After setup

  • Restart Claude Code to pick up the new MCP config
  • Use /rag-project-query to query project memory
  • Use /rag-project-remember to store project-specific knowledge
  • Use /rag-project-sync at end of session to persist learnings

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.