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Store and retrieve repo patterns so models understand projects instantly.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "repo-ctx" yet — see the docs or source repo.
Retrieve the team’s common layered architecture, naming conventions, and error-handling patterns from other repositories via repo-ctx, then summarize the conventions I should follow in this repository.
An actionable summary of project conventions covering architecture layers, naming style, and reusable patterns.
Use repo-ctx to extract key context for this repository, including core modules, major dependencies, existing implementation patterns, and shared cross-repo rules, then generate a project brief for a coding assistant.
A structured project brief that lets AI start editing code without repeated exploration.
Search repo-ctx for repository patterns and prior implementations most similar to an "authorization middleware", then list relevant repositories, key files, and implementation approaches to reference.
A list of relevant prior implementations with locations and reuse suggestions for faster development.
Provide local developer context to AI agents for faster, safer initialization.
Explore repository structure and code context in read-only mode for analysis.
Bring GitHub repositories into AI context for search, file access, and analysis.
Read, search, and update codebase documentation context through MCP.
Share code with LLMs via MCP or clipboard with task-specific context rules.
Read, edit, and refactor code precisely with AST-based, token-efficient operations.