OMA Intent-Based Search
Routes technical queries to the most authoritative sources—documentation, web, or code—using intelligent intent classification and domain trust scoring.
OMA Search is a specialized routing engine for the Oh My Agent (OMA) framework designed to eliminate search ambiguity for developers. By analyzing the intent of a request, it automatically dispatches queries to the optimal channel, whether that is official library documentation via Context7, global web searches, GitHub/GitLab code repositories, or local symbols via Serena. The skill stands out by applying domain-level trust labels to every result, ensuring that Claude prioritizes grounded, high-authority information while providing graceful fallbacks when primary sources are unavailable.
Key Features
01Smart fallback logic that switches from documentation to web search automatically
02Domain-level trust scoring to weigh the reliability of search results
03Automatic intent classification to route queries to docs, web, code, or local search
041,082 GitHub stars
05Multi-source integration supporting Context7, GitHub, GitLab, and native web tools
06Explicit user flags to override routing for specific research needs
Use Cases
01Finding real-world implementation patterns across public GitHub and GitLab repositories
02Quickly locating official API references and framework documentation without leaving the terminal
03Performing technical web research that prioritizes trusted domains over unverified sources