scout

Scout codebases by spawning parallel Explore subagents with 3-minute timeouts.

7|3|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/brainbrewlabs/brainbrew-devkit --skill scout-brainbrewlabs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scout
Source: https://github.com/brainbrewlabs/brainbrew-devkit/tree/main/.claude/skills/scout
Command: npx skills add https://github.com/brainbrewlabs/brainbrew-devkit --skill scout-brainbrewlabs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scout given directories to respond to the user's requests by quickly locating pertinent files, references, and context to support answer generation.

Core Features & Use Cases

  • Directed file discovery: identify relevant scripts, docs, and assets across a project.
  • Context gathering: assemble necessary information to ground responses and reduce search time.
  • Use Case: When prompted with a complex request, scout finds the needed files to inform the AI's plan.

Quick Start

Prompt the scout to spawn parallel Explore subagents that search the codebase for needed files, each using a 3-minute timeout.

Frequently Asked Questions about scout

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I locate relevant files across a large repository to gather context for a prompt?▼

To gather context across a large repository, you can use parallel Explore subagents to scout directories and locate pertinent files. This workflow enforces a 3-minute timeout per agent to ensure quick file discovery.

What is the best way to find scripts and documentation in a complex codebase?▼

Directed file discovery identifies relevant scripts, docs, and assets across a project by spawning parallel agents. This assembles necessary information to ground responses and reduce manual search time.

Can I scout multiple directories simultaneously when exploring a codebase?▼

Yes, you can scout multiple directories simultaneously by spawning parallel Explore subagents. Each agent searches the codebase independently with a strict 3-minute timeout to scale exploration efficiently.

Does codebase exploration work for large code projects without timing out?▼

Codebase exploration for large projects uses a scalable workflow with a 3-minute timeout per spawned subagent. This prevents individual searches from hanging indefinitely while gathering necessary context.

Why does my repository search take too long when answering complex requests?▼

Repository searches can lag without parallel context gathering. Spawning parallel Explore subagents with enforced timeouts quickly locates pertinent references and reduces the time needed to inform an AI's plan.