research-expert

Automate multi-source information gathering and produce structured findings.

218|14|Updated Apr 5, 2025
One-click install
npx skills add https://github.com/cin12211/orca-q --skill research-expert
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-expert
Source: https://github.com/cin12211/orca-q/tree/main/.agent/skills/research-expert
Command: npx skills add https://github.com/cin12211/orca-q --skill research-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates targeted, multi-source information gathering to produce structured findings with minimal manual effort.

Core Features & Use Cases

  • Mode-based research: Quick Verification, Focused Investigation, and Deep Research with automated task scoping.
  • Multi-source aggregation: Coordinated use of WebSearch, WebFetch, Read, and Write to assemble verified information.
  • Use Case: A product manager needs market signals; run focused research to compile authoritative summaries and citations for a brief.

Quick Start

Use the research-expert to gather concise, sourced insights on a topic.

Frequently Asked Questions about research-expert

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

FAQPage Schema
How do I automate web search and information gathering for structured research reports?

Automated web search and information gathering aggregates data from multiple sources using WebSearch and WebFetch, producing structured findings with citations for focused professional investigations.

Can I run focused competitive analysis and gather evidence across multiple domains?

Focused competitive analysis and cross-domain evidence gathering are supported through mode-based research strategies, coordinating WebSearch and file operations to compile verified summaries.

What is the best way to scope a deep research task versus a quick verification query?

Scoping a deep research task versus a quick verification query is handled by a mode-based task parsing strategy, automatically adjusting the depth of multi-source aggregation.

Does this research automation approach require explicit metadata for structured output?

This research automation approach requires explicit frontmatter-driven metadata to enforce a structured output format, ensuring assembled information meets professional documentation standards.

What are the limitations of using automated multi-source aggregation for investigations?

Automated multi-source aggregation for investigations is limited by the availability and accessibility of online sources, relying on WebFetch and WebSearch to retrieve publicly available data.