What problem does it solve? Finding the right code, API pattern, or prior decision across a local codebase, upstream repositories, and shared agent history is slow and error-prone when done ad hoc. This Skill provides a disciplined routing strategy so every question is answered from the most authoritative source with the right search tool. ## Core Features & Use Cases - Semantic vs exact search routing: Use mgrep search -c for conceptual questions and rg/fd for exact strings, symbols, and file paths. - Upstream source inspection: Clone external repos into /tmp with git clone --depth=1 (or --filter=blob:none when history matters) to read real call sites instead of guessing from web results. - Fleet history priors: Query the shared semantic store (search.semantic with sources like claude_history, github, shell) to learn what prior agents already built or decided. - Use Case: Before implementing a new API integration, spawn a subagent to check current ecosystem idioms via web search and /tmp clones, then query fleet history to confirm the feature is not already 90% built on main. ## Quick Start Ask the agent to find where a specific behavior is implemented in this repo and check whether any prior agent has already worked on it.