Agent Skills
› withkynam/vibecode-pro-max-kit
› vc-scout
vc-scout
GitHub用于快速代码库侦察的技能,通过本地Shell搜索和可选的并行研究代理协作,高效发现文件、收集任务上下文及执行跨目录的定向搜索。
Trigger Scenarios
用户需要查找或定位文件
开始涉及多目录的功能开发
启动调试会话以理解文件关系
询问项目结构或功能位置
准备可能影响多处代码的变更
Install
npx skills add withkynam/vibecode-pro-max-kit --skill vc-scout -g -y
SKILL.md
Frontmatter
{
"name": "vc-scout",
"layer": "helper",
"metadata": {
"author": "claudekit",
"version": "1.0.0"
},
"description": "Fast codebase scouting using shell search and optional parallel research agents. Use for file discovery, task context gathering, and quick scoped searches across directories.",
"argument-hint": "[search-target] [ext]",
"trigger_keywords": "find files, where is, search codebase"
}
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-agentdelegation (./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
- Analyze user prompt to identify search targets
- Use a wide range of Grep and Glob patterns to find relevant files and estimate scale of the codebase
- Use local shell search first, then optionally spawn parallel
research-agentworkers with divided directories when the search space is large - 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.mdonly 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 optionalresearch-agentparallelism) - External:
references/external-scouting.md(Gemini/OpenCode)
Notes:
TaskUpdateeach task toin_progressbefore 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)
TaskUpdatecompleted 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 parallelresearch-agentworkreferences/external-scouting.md- Using Gemini/OpenCode CLIreferences/task-management-scouting.md- Optional task-registration patterns for larger scout coordination
Version History
- 3bcb2f9 Current 2026-07-05 14:36


