multi-search

Name: multi-search
Availability: InStock
Author: charitablebusinessronin

Coordinate Context7, Perplexica, and grep to synthesize research answers.

Updated Mar 18, 2026

Search Tags:#multi-source #search #grep #context7 #code-search #research-assistant #perplexica

Ready to run

npx skills add https://github.com/Charitablebusinessronin/Allura_Memory --skill multi-search-charitablebusinessronin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: multi-search
Source: https://github.com/Charitablebusinessronin/Allura_Memory/tree/main/.opencode/skills/multi-search
Command: npx skills add https://github.com/Charitablebusinessronin/Allura_Memory --skill multi-search-charitablebusinessronin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This capability helps researchers and engineers synthesize information by coordinating multiple sources: library documentation (Context7), self-hosted AI search (Perplexica), and code search (grep).

Core Features & Use Cases

Unified research workflow across Context7, Perplexica, and grep to produce comprehensive answers.
Ideal for understanding libraries/frameworks, comparing APIs, and tracing implementation patterns across sources.
Use Case: gather docs, tutorials, and code references to resolve integration questions.

Quick Start

Provide a query and let this skill orchestrate Context7, Perplexica, and grep to return a synthesized, cross-source answer.

Frequently Asked Questions about multi-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I search across library documentation and code patterns at the same time?▼

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.

What's the best way to research framework APIs and trace implementation patterns across different sources?▼

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.

Can I use self-hosted AI search alongside grep code search for technical research?▼

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.

How do I gather documentation and code references to resolve library integration questions?▼

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.

Does multi-source search work for comparing APIs across different libraries?▼

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.

What are the limitations of coordinating multiple search channels for research answers?▼

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.