goosetown-researcher-local

Search local project documentation by scanning GUIDES/, PLANS/, RESEARCH/, and WORK_LOGS/ directories to retrieve past decisions, open questions, and risks. Results include structured findings with direct citations to source files for quick reference.

Finding context and risks in local knowledge bases is best handled by leveraging CATALOG.md for topic discovery and ripgrep for deep searches. This approach returns structured findings with citations to relevant documentation, ensuring you gather necessary background before development.

Yes, you can use ripgrep to search across your project's research and work logs. The tool leverages ripgrep for deep searches within local documentation directories, returning organized findings with clear citations to source files and their current status.

Catalog-driven discovery for local knowledge search works by utilizing CATALOG.md to identify relevant topics across your project directories. It then applies ripgrep to perform deep searches, returning structured findings with citations to help you quickly locate decisions and context.

No external dependencies are required to gather project context with this local search approach. It operates independently by searching local knowledge bases like GUIDES/ and RESEARCH/ using built-in tools like ripgrep and CATALOG.md for topic discovery.

Limitations when searching local documentation for prior decisions and risks include reliance on existing file structures like GUIDES/ and WORK_LOGS/. It only returns context from local knowledge bases and cannot access external documentation or infer risks not already recorded in the files.