multi-search

Multi-source search coordinates Context7 for library documentation, Perplexica for AI web search, and grep for code patterns simultaneously, returning a synthesized answer. This unified workflow gathers docs, tutorials, and code references to resolve complex technical questions.

Research framework APIs by orchestrating multi-source search across Context7, Perplexica, and grep. This approach synthesizes library documentation, web search results, and code pattern matches into comprehensive cross-source answers for comparing APIs and understanding implementation details.

Yes, multi-source search integrates self-hosted AI search via Perplexica with grep code pattern matching and Context7 documentation lookups. The skill orchestrates all three channels to deliver synthesized research results for complex technical questions and integration issues.

Resolve library integration questions by running a multi-source search query that coordinates Context7 for docs, Perplexica for web search, and grep for code patterns. The skill returns synthesized cross-source answers combining tutorials, API documentation, and implementation references.

Yes, multi-source search supports comparing APIs across libraries by coordinating Context7 for documentation lookups, Perplexica for web-based AI search, and grep for code pattern analysis. The synthesized results combine information from all three sources for comprehensive API comparison.

Multi-source search depends on the availability and coverage of Context7 documentation, Perplexica AI search results, and grep pattern matches. The synthesized answer quality relies on each source returning relevant information for the query, which may vary for niche or poorly documented libraries.