depth-search

What problem does it solve?

This Skill enables deep multi-source research by integrating academic MCPs (arxiv, semantic-scholar, paper-search, deepwiki), Exa semantic search, and a local ~/.topos knowledge base. It is designed for comprehensive research that requires pulling data from multiple sources while leveraging cached local notes. It explicitly avoids using generic web search fallback and instead prompts you for context when sources are exhausted.

Core Features & Use Cases

• Multi-source research orchestration: Synchronously and asynchronously query local files and four academic MCPs to gather diverse perspectives.
• Parallel source querying: Run arxiv, semantic-scholar, paper-search, and deepwiki in parallel to maximize speed.
• Local knowledge-first caching: Prioritize local notes in ~/.topos before turning to external sources, ensuring efficiency and consistency.

Quick Start

depth-search for "world models for LLMs" using ~/.topos, arxiv, semantic-scholar, paper-search, and deepwiki; if nothing is found, ask for a link or more context.