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.
ソース情報
- リポジトリ
- LongLeo287/SEOSONA-OS
- ソースの最終更新活動
- 2026年8月4日 05:01
- 検出された SKILL.md の言語
- 英語
- スター
- 2
- フォーク
- 1
インストール方法
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
ソースファイルを確認
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
ファイルエクスプローラー
3 ファイルSKILL.md を表示中
SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- scout
- description
- 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.
- argument-hint
- [search-target] [ext]
- metadata
- {"author":"claudekit","version":"1.0.0"}
# 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-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. 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
GitHubで見る