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Found 81 Skills
Configure multi-project workspaces in GrepAI. Use this skill for monorepos and multiple related projects.
Initialize GrepAI in a project. Use this skill when setting up GrepAI for the first time in a codebase.
Configure LM Studio as embedding provider for GrepAI. Use this skill for local embeddings with a GUI interface.
Guide for creating GreptimeDB Pipeline, by which user can add a process layer to GreptimeDB between ingestion and storage, to transform data.
Configure Qdrant vector database for GrepAI. Use this skill for high-performance vector search.
Multi-platform installation guide for GrepAI. Use this skill when installing GrepAI on macOS, Linux, or Windows.
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.
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 flow tasks, for generates materialized view for continuous aggregation.
Before searching a codebase, forces you to zero in on the target: what exactly are you looking for, what would it look like, where would it live, what else might it be called. Activates on "find", "where is", "search for", or when exploration begins. Prevents grep-and-pray.
Search file contents using regex patterns with ripgrep or grep. Use when: finding code, text patterns, or content across files.