# Scout

> Fast codebase scouting using parallel agents. Use for file discovery, task context gathering, quick searches across directories. Supports internal (Explore) and external (Gemini/OpenCode) agents.

- Skill: `majiayu000/scout` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/scout`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/scout/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/scout

---


# Scout

Fast, token-efficient codebase scouting using parallel agents to find files needed for tasks.

## Arguments
- Default: Scout using built-in Explore subagents in parallel (`./references/internal-scouting.md`)
- `ext`: Scout using external Gemini/OpenCode CLI tools in parallel (`./references/external-scouting.md`)

## When to Use

- Beginning work on feature spanning multiple directories
- User mentions needing to "find", "locate", or "search for" files
- Starting debugging session requiring file relationships understanding
- User asks about project structure or where functionality lives
- Before changes that might affect multiple codebase parts

## Quick Start

1. Analyze user prompt to identify search targets
2. Use a wide range of Grep and Glob patterns to find relevant files and estimate scale of the codebase
3. Spawn parallel agents with divided directories
4. Collect results into concise report

## Configuration

Read from `.opencode/.ck.json`:
- `gemini.model` - Gemini model (default: `gemini-3.0-flash`)

## Workflow

### 1. Analyze Task
- Parse user prompt for search targets
- Identify key directories, patterns, file types, lines of code
- Determine optimal SCALE value of subagents to spawn

### 2. Divide and Conquer
- Split codebase into logical segments per agent
- Assign each agent specific directories or patterns
- Ensure no overlap, maximize coverage

### 3. Spawn Parallel Agents
Load appropriate reference based on decision tree:
- **Internal (Default):** `references/internal-scouting.md` (Explore subagents)
- **External:** `references/external-scouting.md` (Gemini/OpenCode)

**Notes:**
- Prompt detailed instructions for each subagent with exact directories or files it should read
- Remember that each subagent has less than 200K tokens of context window
- Amount of subagents to-be-spawned depends on the current system resources available and amount of files to be scanned
- Each subagent must return a detailed summary report to a main agent

### 4. Collect Results
- Timeout: 3 minutes per agent (skip non-responders)
- Aggregate findings into single report
- List unresolved questions at end

## Report Format

```markdown
# Scout Report

## Relevant Files
- `path/to/file.ts` - Brief description
- ...

## Unresolved Questions
- Any gaps in findings
```

## References

- `references/internal-scouting.md` - Using Explore subagents
- `references/external-scouting.md` - Using Gemini/OpenCode CLI