deep-research

Generate structured research reports with citations using parallel subagents.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/scikrikci/skills --skill deep-research-scikrikci
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/scikrikci/skills/tree/main/skills/deep-research
Command: npx skills add https://github.com/scikrikci/skills --skill deep-research-scikrikci

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provide structured, citation-backed research reports for complex topics, saving time spent on manual gathering and synthesis.

Core Features & Use Cases

  • Parallel, phase-driven research architecture with five focus areas to cover diverse angles (Market, Technology, Policy, Infrastructure, Consumer).
  • Automated source discovery, reading, and synthesis with citations.
  • Produce a final report with executive summary, findings, analysis, and recommendations.

Quick Start

Ask it to start a deep-dive on a topic by providing a clear research question and scope.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate a literature review with citation-backed research?

To automate a literature review with citation-backed research, you provide a clear research question and scope. The system uses phased discovery with parallel subagents across five focus areas to gather, evaluate, and synthesize sources into a structured report.

Can I generate structured market analysis reports covering multiple angles?

Yes, you can generate structured market analysis reports covering multiple angles. The architecture uses five parallel focus areas, including Market and Consumer, to evaluate sources and synthesize findings into a final report with an executive summary and citations.

What is the best way to synthesize complex technology assessment findings?

The best way to synthesize complex technology assessment findings is using a phased discovery approach with parallel subagents. This method rigorously evaluates sources and structures the output into executive summaries, findings, analysis, and recommendations.

How does parallel subagent research improve source synthesis?

Parallel subagent research improves source synthesis by dividing the workload across five focus areas. This phased approach allows subagents to simultaneously discover, read, and evaluate sources, ensuring rigorous synthesis and citation backing for the final structured report.

Does this approach require predefined sources to start a deep-dive?

No, this approach does not require predefined sources to start a deep-dive. You simply provide a clear research question and scope, and the automated source discovery mechanism handles the gathering, reading, and synthesis process.

When should I use an automated research report generator for complex topics?

You should use an automated research report generator for complex topics when you need to save time on manual gathering and synthesis. It is ideal for literature reviews, market analyses, and technology assessments requiring rigorous source evaluation and citations.