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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.

中文简介正在准备中。当前显示原文说明。

集成工具Gemini
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包含的文件(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(原文)

安装前可以查看交给 AI 代理的指令内容。

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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