modbender Super Research
The ultimate AI research system. Combines the best of 8 top-rated research skills into one powerful framework.
Why This Skill?
This skill handles any research task from quick lookups to deep academic analysis. It knows when to use which approach.
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:
- Academic / Official / Reputable news
- Technical blogs
- Forums / Discussions
4. Output Formats
- Executive summary
- Key findings with sources
- Actionable insights
- Trend analysis
- Development plans (short/medium/long)
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
Workflow
- Classify - Quick or deep?
- Plan - Keywords, sources, angle
- Search - Use multiple sources
- Analyze - Extract key points
- Synthesize - Combine into report
- Cite - Include sources
Best Sources
| Type | Source |
|---|---|
| Web | Google, Bing |
| News | Tech news sites |
| Code | GitHub |
| Academic | arXiv, papers |
| Docs | MDN, Dev docs |
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 |
Version
v1.0.0 - Initial release