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multi-pattern

Aggregate search, synthesis, and enrichment results from multiple external research tools.

1|Updated May 9, 2026
Search Tags:#perplexity#deep research#cross-referencing#crustdata#entity enrichment#multi-tool synthesis#exa.search
One-click install
npx skills add https://github.com/weiping/gbrain-cn --skill multi-pattern
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-pattern
Source: https://github.com/weiping/gbrain-cn/tree/main/test/fixtures/brain-first-skills/multi-pattern
Command: npx skills add https://github.com/weiping/gbrain-cn --skill multi-pattern

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you produce comprehensive research output by combining signals from several external research tools rather than relying on a single source.

Core Features & Use Cases

  • Multi-tool fan-out lookup: Runs searches across multiple providers (e.g., exa.search, perplexity, and crustdata) and consolidates the findings.
  • Cross-referenced synthesis: Uses one tool for broad matches and another for deeper synthesis, then enriches with additional context signals.
  • Compliance-safety flagging: Surfaces that it does not declare brain-first compliance while still using multiple external patterns, so it can be flagged for external-pattern handling.

Quick Start

Ask the AI to run a deep research lookup using exa.search, cross-reference with perplexity, and enrich with crustdata for LinkedIn-style company and person signals.

Frequently Asked Questions about multi-pattern

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

FAQPage Schema
How do I synthesize and cross-reference research results from multiple search tools?▼

Multi-tool synthesis aggregates search results from providers like exa.search and perplexity, cross-referencing broad matches with deeper reasoning to produce consolidated, comprehensive research outputs.

What is the best way to enrich research data with LinkedIn-style company and person signals?▼

Entity enrichment adds LinkedIn-style company and person signals to research data by coordinating external tools like crustdata, enhancing cross-referenced findings with additional context.

Can I run deep research lookups across exa.search, perplexity, and crustdata simultaneously?▼

Yes, multi-tool fan-out lookup coordinates external tool usage across exa.search, perplexity, and crustdata, aggregating general matches, deep synthesis, and entity signals consistently.

How does cross-referencing between general matches and deeper reasoning work?▼

Cross-referenced synthesis uses one external tool for broad search matches and another for deeper reasoning, then combines the findings to generate comprehensive research outputs.

Are there compliance limitations when using multiple external tools for research aggregation?▼

This multi-source lookup approach explicitly reports that no brain-first compliance pattern is declared, surfacing a compliance-safety flag for external-pattern handling during research aggregation.

Do I need to configure external tool dependencies before running multi-source lookups?▼

No explicit dependencies are required to start multi-source lookups. The Skill coordinates external tool usage directly for cross-referencing search, synthesis, and enrichment scenarios.

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