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vc-scout

Fast codebase scouting using shell search and optional parallel research agents. Use for file discovery, task context gathering, and quick scoped searches across directories.

The English summary is being prepared. Showing the original description.

Works withGemini
See how to install

Files included (4)

  • SKILL.md3.8 KB
  • references/external-scouting.md3.4 KB
  • references/internal-scouting.md2.9 KB
  • references/task-management-scouting.md4.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Scout

Output style: Follow process/development-protocols/communication-standards.md — answer-first, plain language, no unexplained jargon, TL;DR on long responses.

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

Arguments

  • Default: Scout using local shell search plus optional parallel research-agent delegation (./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. Use local shell search first, then optionally spawn parallel research-agent workers with divided directories when the search space is large
  4. Collect results into concise report

Configuration

Read from .claude/.vc.json (falls back to legacy .claude/.ck.json if present):

  • gemini.model - Gemini model (default: gemini-3-flash-preview)

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. Register Scout Tasks

  • Parallel task registration and external orchestration patterns are optional, not required for normal scouting in this repo
  • See references/task-management-scouting.md only when you are intentionally coordinating a larger parallel scout workflow

4. Spawn Parallel Agents

Load appropriate reference based on decision tree:

  • Internal (Default): references/internal-scouting.md (shell search plus optional research-agent parallelism)
  • External: references/external-scouting.md (Gemini/OpenCode)

Notes:

  • TaskUpdate each task to in_progress before spawning its agent (skip if Task tools unavailable)
  • 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

5. Collect Results

  • Timeout: 3 minutes per agent (skip non-responders)
  • TaskUpdate completed tasks; log timed-out agents in report (skip if Task tools unavailable)
  • Aggregate findings into single report
  • List unresolved questions at end

Report Format

# Scout Report

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

## Unresolved Questions
- Any gaps in findings

References

  • references/internal-scouting.md - Using shell search and optional parallel research-agent work
  • references/external-scouting.md - Using Gemini/OpenCode CLI
  • references/task-management-scouting.md - Optional task-registration patterns for larger scout coordination

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