Loading...
Loading...
Found 94 Skills
Advanced search options in GrepAI. Use this skill for JSON output, compact mode, and AI agent integration.
Integrate GrepAI with Claude Code via MCP. Use this skill to enable semantic code search in Claude Code.
Deep contextual grep for codebases. Expert at finding patterns, architectures, implementations, and answering "Where is X?", "Which file has Y?", and "Find code that does Z" questions. Use when exploring unfamiliar codebases, finding specific implementations, understanding code organization, discovering patterns across multiple files, or locating functionality in a project. Supports three thoroughness levels quick, medium, very thorough.
Configure LM Studio as embedding provider for GrepAI. Use this skill for local embeddings with a GUI interface.
Search GitHub code across millions of repositories using grep.app. Use when you need to find code patterns, implementations, examples, or understand how features are built in public codebases. (project)
Guide for creating GreptimeDB Pipeline, by which user can add a process layer to GreptimeDB between ingestion and storage, to transform data.
Search file contents using regex patterns with ripgrep or grep. Use when: finding code, text patterns, or content across files.
Tips and best practices for effective GrepAI searches. Use this skill to improve search result quality.
Supported programming languages in GrepAI. Use this skill to understand which languages can be indexed and traced.
Initialize GrepAI in a project. Use this skill when setting up GrepAI for the first time in a codebase.
Configure Qdrant vector database for GrepAI. Use this skill for high-performance vector search.
Iteratively improves a PR until Greptile gives it a 5/5 confidence score with zero unresolved comments. Triggers Greptile review, fixes all actionable comments, pushes, re-triggers review, and repeats. Use when the user wants to fully optimize a PR against Greptile's code review standards.