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Found 16 Skills
Get started with GrepAI in 5 minutes. Use this skill for a complete walkthrough from installation to first search.
Semantic code search using Phase 1 vector embeddings and Phase 2 hybrid search.
Search Tool Hierarchy
Semantic code search using mgrep for efficient codebase exploration. This skill should be used when searching or exploring codebases with more than 30 non-gitignored files and/or nested directory structures. It provides natural language semantic search that complements traditional grep/ripgrep for finding features, understanding intent, and exploring unfamiliar code.
Integrate GrepAI with Cursor IDE via MCP. Use this skill to enable semantic code search in Cursor.
Setup and workflow for using sqry semantic code search as an MCP server with OpenAI Codex CLI. Covers installation, MCP configuration via `~/.codex/config.toml`, and recommended patterns for code analysis tasks. Install this skill to give Codex access to sqry's 34 AST-based code analysis tools.
Comprehensive CLI reference and search strategies for osgrep semantic code search. Use for detailed CLI options, index management commands, search strategy guidance (architectural vs targeted queries), and troubleshooting. Complements the osgrep plugin which handles daemon lifecycle.
Setup and workflow for using sqry semantic code search as an MCP server with Claude Code. Covers installation, MCP configuration, tool naming conventions, and recommended search patterns. Install this skill to give Claude Code full access to sqry's 34 AST-based code analysis tools.
AST-based semantic code search skill for AI agents. Teaches agents to use sqry's 34 MCP tools for finding symbols by structure (functions, classes, types), tracing relationships (callers, callees, imports, inheritance), analyzing dependencies, and detecting code quality issues. Unlike embedding-based search, sqry parses code like a compiler. Supports 37 languages. Uses tiered discovery: start with Quick Tool Selection below, load reference files only when you need parameter details or advanced workflows.
Setup and workflow for using sqry semantic code search as an MCP server with Gemini CLI. Covers installation, MCP configuration via settings.json, context file behavior, and recommended patterns. Install this skill to give Gemini CLI access to sqry's 34 AST-based code analysis tools.
Fast, accurate code search for AI agents using ~98% fewer tokens than grep+read. Indexes any local or remote repository in under a second (~250ms on CPU, no GPU or API key needed). Supports natural-language and symbol queries, semantic similar-code discovery, and MCP server integration for Claude Code, Codex, Cursor, and OpenCode. Python library available for programmatic use. Triggers on: semble, code search, semantic code search, semble search, token-efficient search, find code, code search mcp, agent code search, semble find-related, semble savings.
Integrate GrepAI with Claude Code via MCP. Use this skill to enable semantic code search in Claude Code.