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deep-research

Coordinates multi-source research into structured, cited reports via phased workflow with parallel subagents.

Updated Mar 19, 2026
Search Tags:#planning#research#analysis#citations#synthesis#multisource
One-click install
npx skills add https://github.com/mecolejr/EVL-mOC5 --skill deep-research-mecolejr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/mecolejr/EVL-mOC5/tree/main/.local/secondary_skills/deep-research
Command: npx skills add https://github.com/mecolejr/EVL-mOC5 --skill deep-research-mecolejr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Conducts thorough, multi-source research on complex topics and delivers structured findings with citations.

Core Features & Use Cases

  • Decomposes topics into five focus areas and runs parallel subagents
  • Performs phase-based scope definition, source discovery, evaluation, synthesis, and reporting
  • Generates a sourced report suitable for decision-making, proposals, or literature reviews

Quick Start

Initiate a five-focus-area research workflow and compile findings with citations into a structured report.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I conduct multi-source research with citations for a literature review?▼

To conduct multi-source research with citations, this Skill decomposes topics into five focus areas and runs parallel subagents for source discovery, evaluation, synthesis, and reporting. It generates a structured, sourced report suitable for literature reviews or proposals.

Can I automate market analysis and technology evaluation across multiple sources?▼

Yes, you can automate market analysis and technology evaluation by running parallel subagents that discover and evaluate sources. The phase-based workflow handles scope definition, synthesis, and reporting to deliver structured findings with citations.

What is the best way to synthesize findings from parallel research subagents?▼

The best way to synthesize findings from parallel research subagents is using a phase-based workflow that evaluates discovered sources and compiles them into a structured report. This ensures multi-source data is consolidated with proper citations.

Does this research workflow support policy assessments and complex topic decomposition?▼

Yes, this research workflow supports policy assessments by decomposing complex topics into five focus areas. It applies source discovery, parallel subagent execution, evaluation, and synthesis to produce structured findings with citations for decision-making.

When should I use a phase-based research workflow instead of manual source evaluation?▼

You should use a phase-based research workflow when handling complex, multi-source topics like market analyses or literature reviews. It automates scope definition, parallel subagent execution, and synthesis, delivering structured reports with citations faster than manual evaluation.

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