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deep-research

Conduct multi-source research with citation tracking and claim validation.

Updated Feb 16, 2026
Search Tags:#research#verification#analysis#multi-source#blockchain
One-click install
npx skills add https://github.com/kingkillery/pk-qmd --skill deep-research-kingkillery
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/kingkillery/pk-qmd/tree/main/.agents/skills/deep-research
Command: npx skills add https://github.com/kingkillery/pk-qmd --skill deep-research-kingkillery

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill conducts comprehensive, citation-backed research with multiple-source verification and validation, suitable for users requiring in-depth analysis and verified claims.

Core Features & Use Cases

  • Multi-source Synthesis: Combines information from multiple sources for a comprehensive analysis.
  • Citation Tracking: Automatically tracks and manages all citations used in the research.
  • Verification: Validates the accuracy of the research against multiple sources.
  • Use Case: If a user needs to research a complex topic like "The impact of blockchain technology on finance," this Skill can generate a detailed report with citations from various sources, ensuring the information is accurate and well-researched.

Quick Start

Use the deep-research skill to analyze the impact of blockchain technology on finance.

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 citation tracking and claim verification?▼

Multi-source research with citation tracking requires aggregating 10+ sources, executing Python scripts for state management, and validating claims across references to produce a verified, comprehensive analysis report.

Do I need Python to run deep research and multi-source synthesis tasks?▼

Yes, Python is required to execute scripts, handle files, and manage state for deep research tasks. The multi-source synthesis and citation tracking process depends on Python to validate claims and generate reports.

What is multi-source synthesis and when do I need it for complex topic analysis?▼

Multi-source synthesis combines information from 10 or more independent references to generate a comprehensive analysis. You need it when verifying claims about complex topics, such as blockchain technology impacts, requiring validated citations.

Can I use automated research scripts to verify claims and track citations for blockchain analysis?▼

Automated research scripts can verify blockchain analysis claims by cross-referencing multiple sources and tracking citations. Python scripts handle file processing and state management to validate accuracy across 10+ aggregated references.

Are there limitations when using automated multi-source research for enterprise-grade analysis?▼

Automated multi-source research requires Python execution for script handling and state management, and demands a minimum of 10 sources for proper claim validation. Analysis accuracy depends entirely on the quality and availability of aggregated references.

What's the best way to validate research claims across multiple sources using Python?▼

The best way to validate research claims is using Python scripts to execute multi-source synthesis, tracking citations across 10+ references, and cross-verifying facts to generate an enterprise-grade, comprehensive analysis report.

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