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.
npx -y skills add yoanbernabeu/grepai-skills --skill grepai-quickstart --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills