Grepai Quickstart
This walks you through getting GrepAI running in 5 minutes, from brew install to your first semantic code search. It covers the full setup: installing GrepAI and Ollama, pulling the nomic-embed-text model, initializing your project, and starting the watch daemon that indexes your code into chunks. The guide is genuinely quick, assumes you have terminal access and a project to index, and includes the actual commands for macOS, Linux, and Windows. Useful if you want semantic search over your codebase without reading full docs. The search tips are smart: be descriptive about intent rather than literal with keywords, since the embeddings work better that way.
- skills.sh installs
- 600
- GitHub stars
- 20
- last updated
- Aug 21, 2026
Install
$ npx -y skills add yoanbernabeu/grepai-skills --skill grepai-quickstart --agent claude-codeInstalls into .claude/skills of the current project.
Files
GrepAI Quickstart
This skill provides a complete walkthrough to get GrepAI running and searching your code in 5 minutes.
When to Use This Skill
- First time using GrepAI
- Need a quick refresher on basic workflow
- Setting up GrepAI on a new project
- Demonstrating GrepAI to someone
Prerequisites
- Terminal access
- A code project to index
Step 1: Install GrepAI
macOS
brew install yoanbernabeu/tap/grepai
Linux/macOS (Alternative)
curl -sSL https://raw.githubusercontent.com/yoanbernabeu/grepai/main/install.sh | sh
Windows
irm https://raw.githubusercontent.com/yoanbernabeu/grepai/main/install.ps1 | iex
Verify: grepai version
Step 2: Install Ollama (Local Embeddings)
macOS
brew install ollama
ollama serve &
ollama pull nomic-embed-text
Linux
curl -fsSL https://ollama.com/install.sh | sh
ollama serve &
ollama pull nomic-embed-text
Verify: curl http://localhost:11434/api/tags
Step 3: Initialize Your Project
Navigate to your project and initialize GrepAI:
cd /path/to/your/project
grepai init
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- Repository
- github.com/yoanbernabeu/grepai-skills
- First seen
- Jun 3, 2026
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