@yoanbernabeu

grepai-storage-gob documents GOB binary serialization as GrepAI's default local storage backend, covering single-file indexing, performance characteristics up to 10K files, and migration paths to distributed backends.

grepai-config-reference lists configuration options and file location but lacks actionable steps, validation logic, and guidance on actual option values or consequences.

grepai-chunking documents the purpose and context of code chunking in grepai but lacks concrete configuration steps, parameter details, or actionable procedures for users to optimize chunking behavior in practice.

grepai-init covers running the init command to bootstrap grepai in a project, but lacks specifics on what configuration gets created, how to customize it, or what happens when init fails.

Tips and best practices for effective GrepAI searches. Use this skill to improve search result quality.

Configure search result boosting in GrepAI. Use this skill to prioritize certain paths and penalize others.

Multi-platform installation guide for GrepAI. Use this skill when installing GrepAI on macOS, Linux, or Windows.

Supported programming languages in GrepAI. Use this skill to understand which languages can be indexed and traced.

Integrate GrepAI with Cursor IDE via MCP. Use this skill to enable semantic code search in Cursor.

Get started with GrepAI in 5 minutes. Use this skill for a complete walkthrough from installation to first search.

Configure Ollama as embedding provider for GrepAI. Use this skill for local, private embedding generation.

Build complete call graphs with GrepAI trace. Use this skill for recursive dependency analysis.

Troubleshooting guide for GrepAI. Use this skill to diagnose and fix common issues.

Configure PostgreSQL with pgvector for GrepAI. Use this skill for team environments and large codebases.

Configure multi-project workspaces in GrepAI. Use this skill for monorepos and multiple related projects.

Configure OpenAI as embedding provider for GrepAI. Use this skill for high-quality cloud embeddings.

Find function callees with GrepAI trace. Use this skill to discover what functions a specific function calls.

Configure LM Studio as embedding provider for GrepAI. Use this skill for local embeddings with a GUI interface.

Install and configure Ollama for local embeddings with GrepAI. Use this skill when setting up private, local embedding generation.

Test Row Level Security (RLS) policies for common bypass vulnerabilities and misconfigurations.

Find function callers with GrepAI trace. Use this skill to discover what code calls a specific function.

Configure Qdrant vector database for GrepAI. Use this skill for high-performance vector search.

Integrate GrepAI with Claude Code via MCP. Use this skill to enable semantic code search in Claude Code.

grepai-ignore-patterns — an installable skill for AI agents, published by yoanbernabeu/grepai-skills.

Configure and manage the GrepAI watch daemon. Use this skill for real-time code indexing and file monitoring.

Reference for all GrepAI MCP tools. Use this skill to understand available MCP tools and their parameters.

Advanced search options in GrepAI. Use this skill for JSON output, compact mode, and AI agent integration.

Basic semantic code search with GrepAI. Use this skill to learn fundamental search commands and concepts.