ToruAI Scout - Quick Exploration
Delegate exploration tasks to the Scout agent (haiku model - fast & cheap).
Usage
/scout how does authentication work here?
/scout where is the database schema defined?
/scout what options do we have for caching?
/scout # will ask what to explore
Process
If no question provided, ask: "What do you want to explore?"
Delegate to Scout agent:
"Scout, explore: [question]
Context:
- Project: [current directory/project name]
- Relevant area: [if obvious from question]
Return:
- What you found
- How it works
- Options (if applicable)
- Unknowns or questions for the user"
Present Scout's findings to the user
Ask: "Want me to dig deeper on anything?"
When to Use
- "How does X work in this codebase?"
- "Where is Y implemented?"
- "What are our options for Z?"
- "Find all places that do X"
- Before starting work on unfamiliar area
- Quick research on approaches
Scout's Strengths
- Fast (haiku model)
- Systematic (follows code paths, checks tests, looks at git history)
- Evidence-based (cites files and line numbers)
- Surfaces unknowns (doesn't hide gaps)
Examples
Exploring a feature:
/scout how does the scraper handle rate limiting?
Finding implementations:
/scout where are all the API endpoints defined?
Researching options:
/scout what libraries could we use for PDF generation?
Understanding patterns:
/scout what's the error handling pattern in this codebase?