research-methodology

name	research-methodology
description	Activate when conducting topic research with complexity assessment, thinking mode selection, and comprehensive documentation generation
license	MIT

Research Methodology

Guide for systematic topic research with complexity-based thinking mode selection and comprehensive documentation generation for knowledge capture.

When to Use This Skill

Activate when:

• Researching new topics or technologies
• Creating comprehensive knowledge documentation
• Assessing topic complexity for appropriate depth
• Generating expert agent prompts from research
• Building reference materials for teams
• Filling knowledge gaps in project domains

Complexity Assessment Framework

Scoring Criteria

Evaluate topics using these dimensions:

Scope Breadth (1-3)

• 1: Single domain focus
• 2: Cross-domain interactions
• 3: Multi-domain integration

Technical Depth (1-3)

• 1: Basic concepts and usage
• 2: Intermediate patterns and optimization
• 3: Advanced/cutting-edge techniques

Integration Complexity (1-2)

• 1: Standalone topic
• 2: Multiple systems/tools integration

Source Availability (1-2)

• 1: Well-documented, mature topic
• 2: Limited/new documentation

Total Score: 4-10

Thinking Mode Selection

Based on total complexity score:

Standard Mode (4-5)

• Basic research process
• Core concepts and common patterns
• Standard documentation structure

Think Mode (6-8)

• Deeper reasoning and cross-referencing
• Multiple perspective analysis
• Trade-off considerations
• Enhanced troubleshooting

Ultrathink Mode (9-10)

• Comprehensive multi-perspective analysis
• Complex integration scenarios
• Advanced edge cases
• Scenario planning and decision frameworks

Research Process

Information Gathering

1. Core concepts and principles
2. Best practices and methodologies
3. Common tools and technologies
4. Typical use cases and applications
5. Known challenges and pain points
6. Recent developments and trends

Enhanced Analysis (Think/Ultrathink)

• Alternative approaches and viewpoints
• Trade-offs and decision matrices
• Integration considerations
• Edge cases and failure modes
• Future direction and evolution

Documentation Structure

# [Topic] Research

## Complexity Assessment
- **Score**: [X]/10
- **Thinking Mode**: [Standard/Think/Ultrathink]
- **Key Complexity Factors**: [Summary]

## Role Definition
[How an expert in this topic operates]

## Knowledge Base
### Core Concepts
[Fundamental principles]

### Best Practices
[Recommended approaches]

### Tools and Technologies
[Key tools with use cases]

## Examples
[3-5 concrete, practical examples]

## Troubleshooting
### Common Issues
1. **Issue**: [Description]
   - **Symptoms**: [Observable signs]
   - **Solution**: [Fix steps]
   - **Prevention**: [How to avoid]

## Advanced Topics (Think/Ultrathink)
### Multi-Perspective Analysis
[Different approaches and viewpoints]

### Trade-off Considerations
[Decision frameworks and matrices]

### Integration Patterns
[How topic connects with other systems]

## Resources
[Documentation, tools, references]

Output Types

Agent Prompt

Generates specialized expert agent prompts:

• Role definition
• Knowledge base from research
• Response guidelines
• Troubleshooting reference

Reference Documentation

Creates comprehensive knowledge docs:

• overview.md - Core concepts and patterns
• troubleshooting.md - Issues and solutions
• examples/ - Practical implementations

Key Principles

• Complexity-Driven Depth: Match research depth to topic complexity
• Practical Focus: Emphasize actionable, real-world information
• Structured Output: Use consistent documentation templates
• Source Attribution: Reference authoritative sources
• Continuous Update: Plan for knowledge evolution
• Integration Awareness: Consider connections to related topics