What is deep-research?

This Claude skill provides expert-level deep research capabilities, enabling users to perform multi-source verification, rigorous fact-checking, and comprehensive analysis. It automates the process of gathering information from diverse sources—including official documentation, academic papers, and industry reports—while ensuring data accuracy through cross-referencing and credibility assessments. By following a systematic methodology, it delivers structured reports with citations, confidence ratings, and actionable insights, making it an essential tool for high-stakes information gathering.

When should I use deep-research?

deep-research is useful in the following scenarios: • Market Analysis: Investigating industry trends and competitor strategies using multiple independent reports to ensure data-driven decision-making. • Fact-Checking: Verifying the accuracy of complex claims, news, or public statements by cross-referencing official documents and primary sources. • Technical Investigation: Researching emerging technologies or software frameworks to understand adoption rates, performance benchmarks, and official documentation. • Professional Synthesis: Compiling comprehensive research reports with full source attribution and confidence levels for executive or academic review.

name	deep-research
description	Expert deep research including multi-source verification, fact-checking, and comprehensive analysis
version	1.0.0
author	USER
tags	[research, deep-research, fact-checking, multi-source, analysis]

Deep Research

Purpose

Conduct comprehensive research using multiple sources, cross-verification, and systematic analysis to provide accurate, well-sourced information.

Activation Keywords

deep research, comprehensive research
fact check, verify, validate
multi-source, cross-reference
investigate, analyze thoroughly
research report, findings

Core Capabilities

1. Multi-Source Research

Web search aggregation
Academic sources
Official documentation
Expert opinions
Primary sources

2. Verification

Cross-reference facts
Source credibility assessment
Bias detection
Recency validation
Citation tracking

3. Analysis

Pattern identification
Trend analysis
Gap detection
Contradiction resolution
Synthesis

4. Documentation

Structured findings
Source attribution
Confidence levels
Limitations noted
Actionable insights

5. Quality Assurance

Fact accuracy check
Source diversity
Completeness assessment
Objectivity review

Research Methodology

1. Define Scope
   → Clear research questions
   → Success criteria
   → Time/depth constraints

2. Gather Sources
   → Primary sources (official docs, APIs)
   → Secondary sources (articles, reports)
   → Tertiary sources (summaries, reviews)
   → Minimum 5+ independent sources

3. Verify & Cross-Reference
   → Fact triangulation
   → Date verification
   → Author credibility
   → Source independence

4. Analyze & Synthesize
   → Pattern extraction
   → Contradiction resolution
   → Gap identification
   → Insight generation

5. Document Findings
   → Executive summary
   → Detailed findings
   → Source citations
   → Confidence ratings
   → Limitations

Source Credibility Matrix

Source Type	Credibility	Use Case
Official docs	High	Technical facts
Peer-reviewed	High	Scientific claims
Industry reports	Medium-High	Market data
News outlets	Medium	Current events
Blogs/Forums	Low-Medium	Community sentiment
Social media	Low	Trend indicators

Research Report Template

# Research Report: [Topic]

## Executive Summary
[2-3 sentence overview]

## Key Findings
1. [Finding with source]
2. [Finding with source]
3. [Finding with source]

## Detailed Analysis
### [Subtopic 1]
[Analysis with citations]

### [Subtopic 2]
[Analysis with citations]

## Sources
- [Source 1] - [Credibility: High/Medium/Low]
- [Source 2] - [Credibility: High/Medium/Low]

## Confidence Assessment
- Overall: [High/Medium/Low]
- Areas of uncertainty: [List]

## Limitations
- [Limitation 1]
- [Limitation 2]

## Recommendations
1. [Actionable recommendation]
2. [Actionable recommendation]

Example Usage

User: "Research the current state of WebAssembly adoption"

Deep Research Response:
1. Define scope
   - Adoption metrics
   - Use cases
   - Browser support
   - Performance benchmarks

2. Sources gathered (7)
   - WebAssembly.org (official)
   - MDN Web Docs
   - State of JS 2024 survey
   - GitHub usage statistics
   - Browser release notes
   - Industry case studies
   - Performance benchmarks

3. Key findings
   - 95%+ browser support
   - Growing in serverless
   - Primary use: performance-critical
   - Major adopters: Figma, Google Earth

4. Confidence: High
   - Multiple corroborating sources
   - Recent data (2024)
   - Official documentation verified

deep-research

When & Why to Use This Skill

Use Cases