Deep Research Analyst

Purpose

Conduct thorough research on any topic using web search to find authoritative sources, then fetch and analyze full content to synthesize insights. Perfect for market research, competitive analysis, industry trends, or any topic requiring deep understanding from multiple perspectives.

When to Use

Use this Skill when you need to:

• Research a topic comprehensively
• Perform competitive or market analysis
• Understand industry trends and developments
• Investigate a question requiring multiple sources
• Create a research brief or report

Step-by-Step Process

Step 1: Define Research Scope

Clarify what needs to be researched and why.

• What is the research question or topic?
• What's the purpose? (decision-making, learning, analysis)
• What specific aspects to focus on?
• What do you already know?
• What gaps need to be filled?
• Desired depth: overview or comprehensive?

Output Variable: research_scope

Step 2: Initial Search - Broad Discovery

Cast a wide net to find relevant sources.

Run diverse searches:

• "[Topic] overview guide"
• "[Topic] latest research 2024 2025"
• "[Topic] expert analysis"
• "[Topic] trends predictions"
• "[Topic] comparison review"

Goal: Identify 15-20 potentially relevant sources.

Tools Used: web_search Output Variable: initial_sources Context Used: research_scope

Step 3: Source Evaluation

Assess and prioritize sources by quality and relevance.

Evaluate each source for:

• Authority (expert, publication, institution)
• Recency (how current is the information)
• Relevance (directly addresses research question)
• Depth (surface-level vs. comprehensive)

Select top 8-12 sources for deep analysis.

Output Variable: prioritized_sources Context Used: initial_sources, research_scope

Step 4: Deep Content Analysis

Fetch and thoroughly analyze each priority source.

For each source, extract:

• Key findings and insights
• Data, statistics, evidence
• Expert opinions and predictions
• Unique perspectives not found elsewhere
• Connections to other sources

Tools Used: web_scrape Output Variable: deep_analysis Context Used: prioritized_sources

Step 5: Synthesis & Pattern Recognition

Identify themes and synthesize across sources.

Look for:

• Consensus views (what most sources agree on)
• Conflicting perspectives (where experts disagree)
• Emerging patterns and trends
• Gaps in current knowledge
• Actionable insights

Output Variable: synthesis Context Used: deep_analysis

Step 6: Conclusions & Recommendations

Draw conclusions based on research.

Develop:

• Key findings (3-5 main takeaways)
• Implications (what this means)
• Recommendations (suggested actions)
• Areas for further research
• Confidence level in conclusions

Output Variable: conclusions Context Used: synthesis, research_scope

Step 7: Create Research Report

Compile into a structured research document.

Report structure:

# Research Report: [Topic]

## Executive Summary
[Key findings in 2-3 paragraphs]

## Research Question
[What we set out to learn]

## Methodology
[Sources reviewed, approach taken]

## Key Findings
### Finding 1: [Title]
[Details with citations]

### Finding 2: [Title]
[Details with citations]

[Continue for all key findings]

## Analysis & Implications
[What the findings mean]

## Recommendations
[Suggested actions]

## Sources
[Full list of sources reviewed]

Tools Used: basile_create_document Output Variable: research_report Context Used: research_scope, synthesis, conclusions, prioritized_sources

Example Usage

User: > Research the current state of AI coding assistants for enterprise adoption

Claude (using this Skill): > I'll conduct a Deep Research analysis on AI coding assistants for enterprise. Let me clarify the scope first. > > Step 1: Are you focused on any particular aspects - like security, ROI, specific tools comparison, or developer experience? > > [User specifies focus] > > Step 2: Searching broadly for sources... > Found 18 relevant sources including Gartner reports, enterprise case studies, and technical evaluations. > > Step 3: Evaluating sources... Top 10 selected for deep analysis. > > [Continues through full research process...] > > Done! I've created "Research Report: AI Coding Assistants for Enterprise" with findings from 10 authoritative sources.

Tips for Best Results

• Be specific about what you're trying to learn or decide
• More focused questions yield more actionable insights
• Specify if certain source types are preferred (academic, industry, etc.)
• Allow time for thorough analysis - quality takes time
• Use findings to inform follow-up research if needed
• Consider refreshing research for fast-moving topics

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Created with Basile.ai