Grepai Skills
Register ten GrepAI-focused skills so Claude can install, configure, embed, and persist semantic code search for your repo.
Overview
grepai-skills is a plugin marketplace for the Build phase that delivers ten grouped skill packs to install, configure, embed, and store GrepAI semantic code search.
What is this marketplace?
- Ten marketplace plugins grouping skills for getting started, configuration, embeddings, and storage.
- grepai-getting-started: installation, Ollama setup, and quickstart skills bundled together.
- grepai-embeddings: parallel paths for Ollama, OpenAI, and LM Studio embedding providers.
- grepai-storage: gob, Postgres, and Qdrant storage configuration skills.
- grepai-configuration: init, config reference, and ignore-pattern skills for project-level tuning.
- Marketplace catalogs 10 plugins in registry metadata
- Embedding plugin covers 3 providers; storage plugin covers 3 backends per manifest excerpts
Community signal: 17 GitHub stars.
What problem does it solve?
Agents and solo devs drown in repo grep noise and lack a repeatable playbook to wire local or hosted embeddings plus vector storage for code search.
Who is it for?
Builders indexing medium or large codebases who want Ollama-first or multi-provider embeddings with explicit storage migration paths.
Skip if: Non-developers who only need note-taking RAG, or teams that refuse to run embedding infra locally or in their own Postgres/Qdrant.
What do I get? / Deliverables
After adding the marketplace, Claude can walk through GrepAI install, provider selection, and storage setup using named skills instead of ad-hoc terminal guesses.
- Ten plugin-grouped skill paths covering GrepAI lifecycle
- Configured embedding and storage stack documented via agent-guided steps
- Searchable semantic index usable in agent coding workflows
Plugins in this marketplace
10 plugins — install individually after you add the marketplace.
Recommended Marketplaces
Journey fit
GrepAI skills overwhelmingly cover installing, configuring, and wiring semantic code search—work that happens while you integrate tooling into the repo. Embedding providers (Ollama, OpenAI, LM Studio) and storage backends (Postgres, Qdrant, gob) are integration tasks, not a single frontend feature.
How it compares
Skill curriculum for a code-search tool, not a hosted SaaS marketplace of unrelated agents.
Common Questions / FAQ
Who is Grepai Skills for?
Claude Code users and indie developers adopting GrepAI who want stepwise skills for install, config, embeddings, and storage rather than one mega-prompt.
When should I use Grepai Skills?
Use it at project onboarding or when retuning embeddings/storage—especially if you are moving from Ollama on a laptop to OpenAI or managed Qdrant/Postgres.
How do I add Grepai Skills to my agent?
Add the yoanbernabeu/Grepai Skills marketplace in Claude Code and enable the plugin groups you need (getting-started, configuration, embeddings, storage).