scout

Search codebases to identify files, relationships, and context across directories.

Updated Mar 19, 2026
One-click install
npx skills add https://github.com/congthang12312/Sentinel-AI-test --skill scout-congthang12312
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scout
Source: https://github.com/congthang12312/Sentinel-AI-test/tree/main/.agent/skills/scout
Command: npx skills add https://github.com/congthang12312/Sentinel-AI-test --skill scout-congthang12312

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Fast codebase scouting with parallel agents to locate files, map relationships, and gather context across large repositories.

Core Features & Use Cases

  • Parallel agents span multiple directories to accelerate discovery.
  • Supports internal (Explore) and external (Gemini/OpenCode) tooling for flexible scouting.
  • Ideal for starting multi-directory features, debugging sessions, or architecture reviews that require quick file discovery and context.

Quick Start

Describe your target directories and let Scout spawn parallel scans to return a concise report.

Frequently Asked Questions about scout

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

FAQPage Schema
How do I search a large codebase to locate files and map relationships across directories?

Codebase scouting with parallel agents locates files, maps dependencies, and gathers context across multiple directories to return a concise, structured report for quick discovery.

What is the best way to start debugging sessions in a multi-directory repository?

Debugging sessions in multi-directory repositories benefit from parallel scouting agents that rapidly identify relevant files and gather structural context to accelerate root cause analysis.

Can I use parallel agents for codebase discovery with external tools like Gemini?

Codebase discovery supports parallel orchestration of internal Explore agents alongside external tools like Gemini and OpenCode to scan directories and return structured context.

How do I prepare for an architecture review requiring fast file discovery?

Architecture reviews use parallel codebase scouting to identify files and map their relationships across large repositories, providing a concise structured report of the relevant context.

Does codebase scouting work without installing external dependencies?

Codebase scouting operates without external dependencies by orchestrating internal Explore agents to scan directories, map file relationships, and compile structured discovery reports.

When should I use parallel codebase scouting instead of manual file search?

Parallel codebase scouting is ideal when starting multi-directory features or debugging sessions where manual file search is too slow to map relationships and gather context across large repositories.