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deep-research

Gather multi-source evidence and generate citation-backed research reports.

Updated Apr 25, 2026
Search Tags:#verification#multi-source#reporting#provenance#deep-research#citation-management
One-click install
npx skills add https://github.com/nshaikhs/claude-code-for-operators --skill deep-research-nshaikhs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/nshaikhs/claude-code-for-operators/tree/main/skills/deep-research
Command: npx skills add https://github.com/nshaikhs/claude-code-for-operators --skill deep-research-nshaikhs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Enterprise-grade research orchestration that collects multi-source evidence, assigns credibility scores, and tracks citations to produce citation-backed reports. It addresses the need for rigorous, verifiable insights in complex decision contexts by coordinating a structured, end-to-end research workflow.

Core Features & Use Cases

  • Multi-provider data collection with automated validation and provenance tracking
  • Citation management, credibility scoring, and automated bibliography generation
  • Use cases include enterprise due diligence, competitive intelligence, risk assessment, regulatory compliance, and strategic planning

Quick Start

Provide a topic and request a full, citation-backed research report generated through the 8-phase pipeline.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I generate a citation-backed research report with multi-source evidence?▼

To generate a citation-backed report, provide a research topic to trigger an 8-phase pipeline that retrieves, triangulates, and synthesizes multi-source evidence into a structured document with a complete bibliography.

What is automated provenance tracking for enterprise research?▼

Automated provenance tracking records the origin of every piece of evidence gathered during multi-source data collection, ensuring your research report maintains verifiable citations and complete bibliographic transparency.

How does credibility scoring work when analyzing academic and industry sources?▼

Credibility scoring evaluates retrieved evidence from academic, industry, and primary sources, assigning scores during the triangulation phase to ensure only high-quality, verified insights build your final report.

Can I use deep research for competitive intelligence and regulatory compliance?▼

Yes, this research workflow supports enterprise due diligence, competitive intelligence, risk assessment, and regulatory compliance by orchestrating structured data collection and validation across complex decision contexts.

What is the best way to identify evidence gaps and uncertainties in a research report?▼

The pipeline critiques and refines synthesized evidence during its final phases, automatically flagging gaps and uncertainties for further review before packaging the validated report with complete citations.

Do I need any external dependencies to run the multi-source evidence gathering pipeline?▼

No external dependencies are required to run the multi-source evidence gathering pipeline, as the skill operates independently using its built-in scripts and references to execute the end-to-end research workflow.

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