What problem does it solve?
This skill automates comprehensive codebase research, documentation, and retrieval, eliminating manual context gathering and note-taking. It integrates various tools to provide structured research findings, saving significant time and reducing complexity in understanding large codebases.
Core Features & Use Cases
- Codebase Research: Integrates
fast-repo-context, knowledge graphs, and external resources for deep analysis of code structure, patterns, and dependencies.
- Persistent Documentation: Stores structured research findings in markdown files (e.g.,
~/workspace/llm/research/) for future reference and easy sharing across projects.
- Research Management: Provides an automation script to generate descriptive research names, create timestamped markdown files, and efficiently list or locate existing research by keywords.
Quick Start
Perform local research on the 'authentication system' and document its architecture, including key files and design patterns.