File contents 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 searchDeep research - Multi-source exhaustive analysisAcademic - Scholarly sources, citationsParallel - 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, angleSearch - Use multiple sourcesAnalyze - Extract key pointsSynthesize - Combine into reportCite - 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
1 --- 2 name: super-research 3 description: Super Research 4 --- 5 # Super Research 6 7 **The ultimate AI research system.** Combines the best of 8 top-rated research skills into one powerful framework. 8 9 --- 10 11 ## Why This Skill? 12 13 This skill handles any research task from quick lookups to deep academic analysis. It knows when to use which approach. 14 15 --- 16 17 ## Core Features 18 19 ### 1. Research Classification 20 Determine research type and pick right approach: 21 - **Quick lookup** - Fast web search 22 - **Deep research** - Multi-source exhaustive analysis 23 - **Academic** - Scholarly sources, citations 24 - **Parallel** - Multiple topics simultaneously 25 26 ### 2. Source Types (from research-engine) 27 - Web search 28 - News 29 - GitHub 30 - Academic papers 31 - Developer documentation 32 33 ### 3. Quality Hierarchy (from deep-research-pro) 34 Priority order: 35 1. Academic / Official / Reputable news 36 2. Technical blogs 37 3. Forums / Discussions 38 39 ### 4. Output Formats 40 - Executive summary 41 - Key findings with sources 42 - Actionable insights 43 - Trend analysis 44 - Development plans (short/medium/long) 45 46 --- 47 48 ## Usage 49 50 ### Quick Research 51 ``` 52 Search for: "OpenCode vs Cursor 2026 comparison" 53 ``` 54 55 ### Deep Research 56 ``` 57 Research topic: "AI agents in software development" 58 Depth: Executive summary + technical deep-dive 59 Format: Report with sources 60 ``` 61 62 ### Academic Research 63 ``` 64 Theme: Impact of AI on developer productivity 65 Key questions: 66 - What studies exist? 67 - Methodology? 68 - Results? 69 Format: Literature review 70 ``` 71 72 --- 73 74 ## Workflow 75 76 1. **Classify** - Quick or deep? 77 2. **Plan** - Keywords, sources, angle 78 3. **Search** - Use multiple sources 79 4. **Analyze** - Extract key points 80 5. **Synthesize** - Combine into report 81 6. **Cite** - Include sources 82 83 --- 84 85 ## Best Sources 86 87 | Type | Source | 88 |------|--------| 89 | Web | Google, Bing | 90 | News | Tech news sites | 91 | Code | GitHub | 92 | Academic | arXiv, papers | 93 | Docs | MDN, Dev docs | 94 95 --- 96 97 ## Merged From 98 99 | Skill | Rating | 100 |-------|--------| 101 | academic-deep-research | 3.431 | 102 | deep-research-pro | 3.420 | 103 | parallel-ai-research | 3.379 | 104 | research-engine | 3.376 | 105 | research-cog | 3.373 | 106 | research-tracker | 3.368 | 107 | parallel-deep-research | 3.360 | 108 | in-depth-research | 3.354 | 109 110 --- 111 112 ## Version 113 114 v1.0.0 - Initial release
commit 2e214c50ee
Frequently asked questions How do I install the Super Research skill? Run npx skillmds@latest add javimosch/super-research in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
What does the Super Research skill do? Super Research It is listed under Research & Search on SkillMD.
Is Super Research safe to use? This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.
Which AI agents work with Super Research? This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.
Is Super Research free to use? Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.
Who published Super Research? javimosch (@javimosch) published this skill. Their other Agent Skills are listed on their SkillMD profile.
javimosch