multi-pattern

Aggregates intelligence from exa.search, perplexity and crustdata into unified research synthesis reports.

Updated Jun 10, 2026
One-click install
npx skills add https://github.com/starlink-awaken/omostation-gbrain --skill multi-pattern-starlink-awaken
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-pattern
Source: https://github.com/starlink-awaken/omostation-gbrain/tree/main/test/fixtures/brain-first-skills/multi-pattern
Command: npx skills add https://github.com/starlink-awaken/omostation-gbrain --skill multi-pattern-starlink-awaken

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the fragmentation of information by consolidating data from multiple specialized search and intelligence platforms into a single, synthesized report.

Core Features & Use Cases

  • Cross-Platform Synthesis: Simultaneously queries exa.search, perplexity, and crustdata to provide a 360-degree view of a topic.
  • Signal Aggregation: Combines general web search results with deep AI synthesis and professional LinkedIn data.
  • Use Case: Use this skill when conducting market research to quickly gather broad web context, deep analytical insights, and professional signal data without switching between three different browser tabs.

Quick Start

Use the multi-pattern skill to perform a deep research lookup on the current market trends for generative AI startups.

Frequently Asked Questions about multi-pattern

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

FAQPage Schema
How do I aggregate multi-source research insights into a single report?

You can aggregate multi-source research insights by querying exa.search, perplexity, and crustdata simultaneously. This consolidates fragmented data from web search, deep reasoning, and professional signal platforms into one synthesized report.

How do I combine web search results with professional signal data for market research?

To combine web search results with professional signal data for market research, you can use cross-platform synthesis. This simultaneously queries exa.search, perplexity, and crustdata to provide a 360-degree view of a topic.

What is the best way to synthesize intelligence across different search and data APIs?

The best way to synthesize intelligence across data APIs is to use cross-platform synthesis. It queries exa.search, perplexity, and crustdata to deliver unified research outputs across web search, deep reasoning, and professional signal domains.

Do I need external search and data APIs to perform cross-platform research synthesis?

Yes, you need integration with multiple external search and data APIs to perform cross-platform research synthesis. The skill requires these external APIs to deliver unified research outputs across web, reasoning, and professional data domains.

When should I use a multi-source intelligence aggregation approach instead of a single search platform?

You should use multi-source intelligence aggregation when you need a 360-degree view of a topic without switching between browser tabs. It is ideal for conducting market research to quickly gather broad web context, deep analytical insights, and professional signal data together.