grepai-search-basics

What problem does it solve? Traditional text search tools like grep only match exact strings, so finding code by intent or behavior requires knowing exact identifiers. This Skill teaches how to use GrepAI's semantic search to locate code by meaning, interpret relevance scores, and write effective queries. ## Core Features & Use Cases - Semantic Search Fundamentals: Explains how meaning-based search differs from exact text matching and when to use each. - Query Crafting Guidance: Provides patterns for effective natural language queries, including finding entry points, error handling, data access, and business logic. - Result Interpretation: Covers score thresholds, result formatting, limiting output with --limit, and verifying index status. - Use Case: You join an unfamiliar codebase and need to find where user authentication happens. Run a semantic search for "user authentication flow" to get ranked code chunks across auth middleware, JWT validation, and login handlers. ## Quick Start Ask the assistant to search the codebase semantically for "user authentication flow" using GrepAI and explain the top results.