Super Research

The ultimate AI research system. Combines the best of 8 top-rated research skills into one powerful framework.

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Why This Skill?

This skill handles any research task from quick lookups to deep academic analysis. It knows when to use which approach.

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Core Features

1. Research Classification

Determine research type and pick right approach:

• Quick lookup - Fast web search
• Deep research - Multi-source exhaustive analysis
• Academic - Scholarly sources, citations
• Parallel - Multiple topics simultaneously

2. Source Types (from research-engine)

• Web search
• News
• GitHub
• Academic papers
• Developer documentation

3. Quality Hierarchy (from deep-research-pro)

Priority order:

1. Academic / Official / Reputable news
2. Technical blogs
3. Forums / Discussions

4. Output Formats

• Executive summary
• Key findings with sources
• Actionable insights
• Trend analysis
• Development plans (short/medium/long)

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Usage

Quick Research

Search for: "OpenCode vs Cursor 2026 comparison"

Deep Research

Research topic: "AI agents in software development"
Depth: Executive summary + technical deep-dive
Format: Report with sources

Academic Research

Theme: Impact of AI on developer productivity
Key questions:
- What studies exist?
- Methodology?
- Results?
Format: Literature review

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Workflow

1. Classify - Quick or deep?
2. Plan - Keywords, sources, angle
3. Search - Use multiple sources
4. Analyze - Extract key points
5. Synthesize - Combine into report
6. Cite - Include sources

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Best Sources

Type	Source
Web	Google, Bing
News	Tech news sites
Code	GitHub
Academic	arXiv, papers
Docs	MDN, Dev docs

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Merged From

Skill	Rating
academic-deep-research	3.431
deep-research-pro	3.420
parallel-ai-research	3.379
research-engine	3.376
research-cog	3.373
research-tracker	3.368
parallel-deep-research	3.360
in-depth-research	3.354

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Version

v1.0.0 - Initial release