Does it modify my existing project files?

It creates a .grepai/ directory, updates your .gitignore to exclude index data, and can optionally append workspace usage instructions to your CLAUDE.md file.

What embedding providers does GrepAI support?

This skill supports both local providers like Ollama (e.g., nomic-embed-text) and cloud-based options like OpenAI (e.g., text-embedding-3-small).

What storage backends can I choose from during initialization?

You can select between GOB (local file storage), PostgreSQL, or Qdrant depending on your performance and persistence needs.

Can I use this for multi-repo search?

Yes, the skill includes a Workspace mode specifically designed for cross-project search, which requires using PostgreSQL or Qdrant as the backend.

GrepAI Project Initialization

Name: GrepAI Project Initialization
Author: jugrajsingh

byjugrajsingh

0•

개발자 도구

Sets up and configures GrepAI for semantic codebase search with automated provider, model, and storage backend selection.

The GrepAI Initializing skill streamlines the setup process for GrepAI, a semantic search tool for developers. It automates the creation of configuration files, selection of embedding providers like Ollama or OpenAI, and storage backend setup including Postgres, Qdrant, or Gob. Whether working on a single project or a multi-repository workspace, this skill ensures that project boundaries, chunking strategies, and .gitignore settings are correctly applied, providing a ready-to-index environment for AI-assisted code navigation and context retrieval.

주요 기능

01Automated .grepai/config.yaml generation and .gitignore updates

02Support for both single-project and multi-project workspace modes

03Pre-configured embedding model selection for Ollama and OpenAI

04Integration with CLAUDE.md for persistent agent search guidance

050 GitHub stars

06Automatic dimension mapping for popular models like nomic-embed-text and text-embedding-3

사용 사례

01Setting up a shared Qdrant or PostgreSQL workspace for cross-project code analysis

02Configuring local LLM embeddings via Ollama to ensure data privacy during code indexing

03Bootstrapping a new project with semantic search capabilities for better context retrieval

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jugrajsingh/skillgarden initializing

For use in Claude.ai and ChatGPT

Download Skill