Do I need Docker to use this skill?

Yes, this skill uses Docker to manage infrastructure like PostgreSQL, Qdrant, or Ollama to ensure a consistent and isolated search environment.

Can I run GrepAI completely offline?

Yes, by selecting the Ollama embedding provider during setup, you can perform semantic indexing and search without sending data to external cloud services.

How does Claude use the GrepAI setup?

The setup skill registers GrepAI as an MCP server, allowing Claude to natively invoke search and trace tools to find relevant code snippets and logic.

GrepAI is a semantic search tool that enables natural language querying and context-aware search across your codebase using vector embeddings.

What is the difference between GOB and PostgreSQL backends?

GOB is a simple local file storage for single projects, while PostgreSQL with pgvector is recommended for scalable, multi-user, or workspace-wide search.

GrepAI Setup Assistant

Name: GrepAI Setup Assistant
Author: jugrajsingh

byjugrajsingh

0•

개발자 도구

Configures GrepAI semantic search with automated environment checks, Docker orchestration, and vector storage integration.

The GrepAI Setup Skill is a comprehensive orchestrator designed to streamline the installation and configuration of GrepAI semantic code search within your development environment. It guides users through dependency checks, Docker container deployment, and embedding model selection for both local and cloud providers. By automating the complex setup of vector backends and MCP registration, it enables high-performance, AI-powered code navigation and context retrieval with minimal manual effort.

주요 기능

01Background file-watch daemon and indexing initialization

020 GitHub stars

03Direct Model Context Protocol (MCP) server registration for Claude

04Automated Docker Compose template generation for GOB, PostgreSQL, and Qdrant

05Support for local (Ollama) and cloud (OpenAI) embedding providers

06Guided prerequisite validation for GrepAI CLI and Docker

사용 사례

01Setting up private, offline-capable code indexing using local LLM embeddings

02Deploying scalable vector storage for multi-project developer workspaces

03Initializing local semantic search for large codebases to improve AI context retrieval

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jugrajsingh/skillgarden setting-up

For use in Claude.ai and ChatGPT

Download Skill