From claudio
Conducts systematic topic research with complexity scoring (4-10), thinking mode selection (Standard/Think/Ultrathink), and generates structured markdown documentation for knowledge capture.
How this skill is triggered — by the user, by Claude, or both
Slash command
/claudio:research-methodologyThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Guide for systematic topic research with complexity-based thinking mode selection and comprehensive documentation generation for knowledge capture.
Guide for systematic topic research with complexity-based thinking mode selection and comprehensive documentation generation for knowledge capture.
Activate when:
Evaluate topics using these dimensions:
Scope Breadth (1-3)
Technical Depth (1-3)
Integration Complexity (1-2)
Source Availability (1-2)
Total Score: 4-10
Based on total complexity score:
Standard Mode (4-5)
Think Mode (6-8)
Ultrathink Mode (9-10)
# [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]
Generates specialized expert agent prompts:
Creates comprehensive knowledge docs:
npx claudepluginhub vinnie357/claude-skills --plugin claudioGuides research planning: analyzes query complexity, decomposes via Self-Ask, Least-to-Most, DAG, parallel strategies; scales effort, sets stopping criteria, avoids anti-patterns.
Executes multi-agent research pipeline on any topic with Scout, Investigators, Deep Diver, Verifier, Synthesizer, and Critic reviews to produce verified, sourced reports.
Deep research on any topic by conducting web searches and fetching content. Can also add files or URLs to a research index. Useful for building knowledge bases or investigating unfamiliar subjects.