research

/research - Research Command

Purpose

Research a technology, library, or approach with comprehensive analysis.

Usage

/research [topic or technology]

---

Research: $ARGUMENTS

Workflow

1. Gather Information

   • Official documentation
   • Community resources
   • Comparisons

2. Analyze

   • Pros and cons
   • Best practices
   • Alternatives

3. Recommend

   • Summary
   • Recommendation
   • Next steps

Flags

Flag	Description	Example
--mode=[mode]	Use specific behavioral mode	--mode=deep-research
--depth=[1-5]	Research thoroughness level	--depth=5
--format=[fmt]	Output format (concise/detailed/json)	--format=detailed
--save=[path]	Save research to file	--save=docs/research.md
--compare	Focus on comparing alternatives	--compare
--sequential	Use sequential thinking methodology	--sequential

Flag Usage Examples

/research --depth=5 "authentication libraries for Node.js"
/research --compare "React vs Vue vs Svelte"
/research --sequential "root cause of memory leak"
/research --save=docs/orm-research.md "ORM comparison"

Depth Levels

Level	Behavior
1	Quick overview, key points only
2	Standard analysis
3	Thorough with examples
4	Comprehensive with trade-offs
5	Exhaustive with citations

MCP Integration

This command leverages MCP servers for enhanced research:

Web Search - Library Documentation (Primary)

ALWAYS use Web Search for library/framework research:
1. Use resolve-library-id to find the library ID
2. Use get-library-docs with topic parameter for focused docs
3. Use mode='code' for API references, mode='info' for concepts

Reasoning - Structured Analysis

For complex research requiring step-by-step reasoning:
- Use sequentialthinking tool to break down analysis
- Track confidence scores for each finding
- Revise conclusions as new information emerges

Memory - Persistent Research

Store research findings for future reference:
- Create entities for researched technologies
- Add observations with pros/cons/recommendations
- Link related technologies with relations

Output

## Research: [Topic]

### Summary
[Overview]

### Pros
- [Pro 1]
- [Pro 2]

### Cons
- [Con 1]

### Alternatives
[Comparison table]

### Recommendation
[Clear recommendation]

Gap Analysis Rule

Always identify gaps and suggest next steps to users. In case there is no gaps anymore, then AI should clearly state that there is no gap left.