build-and-deploy

Eng0AI/langchain-retrieval-agent

Build and deploy this Next.js LangChain retrieval agent application with Supabase vector store. Use when building, deploying, setting up vector store, or preparing the project for production.

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/Eng0AI/langchain-retrieval-agent/tree/main/.claude/skills/build-and-deploy

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/Eng0AI/langchain-retrieval-agent/tree/main/.claude/skills/build-and-deploy ~/.claude/skills/langchain-retrieval-agent

# Project-specific

git clone https://github.com/Eng0AI/langchain-retrieval-agent/tree/main/.claude/skills/build-and-deploy .claude/skills/langchain-retrieval-agent

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/Eng0AI/langchain-retrieval-agent/tree/main/.claude/skills/build-and-deploy"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/Eng0AI/langchain-retrieval-agent/tree/main/.claude/skills/build-and-deploy

Option 2: Clone to extensions directory

git clone https://github.com/Eng0AI/langchain-retrieval-agent/tree/main/.claude/skills/build-and-deploy ~/.gemini/extensions/langchain-retrieval-agent

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