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deep-research

Coordinates multi-source research into structured, citation-rich reports for complex topics.

Updated Apr 18, 2026
Search Tags:#subagents#citations#synthesis#orchestrator#deep-research#research-automation#multisource
One-click install
npx skills add https://github.com/samibrahmi/instanotes-api --skill deep-research-samibrahmi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/samibrahmi/instanotes-api/tree/main/newcontent/secondary_skills/deep-research
Command: npx skills add https://github.com/samibrahmi/instanotes-api --skill deep-research-samibrahmi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep Research enables rigorous, multi-source investigations with structured outputs and citations, reducing manual time and error in compiling literature and data syntheses.

Core Features & Use Cases

  • Parallel focus-area exploration: Decomposes a topic into five non-overlapping angles and runs subagents in parallel.
  • Structured synthesis & citation management: Produces a narrative with sources linked and cross-referenced.
  • Output-ready reports: Delivers a final, publish-ready research report with executive summary and recommendations.
  • Use Case: A product team asks for a literature review on a new technology, including market landscape, technical feasibility, policy/regulatory considerations, and vendor ecosystems.

Quick Start

Initiate a deep-dive on a topic by defining the research question, triggering five parallel focus-area subagents, and synthesize a citation-rich report.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate multi-source research to compile a structured literature review?▼

Automated multi-source research uses parallel subagents to decompose a topic into five focus areas, evaluate sources rigorously, and synthesize a citation-rich report. This reduces manual compilation time and minimizes errors in literature reviews and data syntheses.

What is the best way to generate a citation-rich report for a complex topic?▼

Generating a citation-rich report requires a phase-based workflow that decomposes complex topics into non-overlapping angles for parallel exploration. This approach cross-references sources and produces a publish-ready document with an executive summary and recommendations.

Can I use research automation to analyze market landscape and technical feasibility simultaneously?▼

Yes, research automation supports simultaneous analysis of market landscape, technical feasibility, and policy considerations. It decomposes a broad research question into distinct focus areas, running parallel subagents to investigate each angle independently before final synthesis.

How do I ensure sources are properly linked and cross-referenced in an automated research synthesis?▼

Proper source linking in automated research synthesis is enforced by a structured workflow that manages citations throughout the process. It evaluates sources rigorously during parallel exploration and cross-references them in the final narrative output.

Does this approach to deep research deliver a ready-to-publish document?▼

Yes, this deep research approach delivers output-ready reports. The final synthesis includes a structured document complete with an executive summary, cross-referenced citations, and actionable recommendations suitable for immediate publication.

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