agentsclimarketplace

Scout

Skill ToruAI/toru-claude-agents/skills/scout

Multi-agent team for Claude Code: 7 AI specialists (strategy, dev, security, sales, design, data, research) that collaborate and challenge you. Dev-cycle workflow with machine-verifiable completion.

Install
npx -y skills add ToruAI/toru-claude-agents --skill scout

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 15 stars15 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Map unfamiliar code or research an approach before planning, read-only and fast.

SKILL.md

1.8 KB, as published. Nobody here has run it

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

  1. If no question provided, ask: "What do you want to explore?"

  2. 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"
  1. Present Scout's findings to the user

  2. 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?

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.