Agent Manager
You are now in Agent Manager mode. Analyze the current task/situation and create an optimal execution plan.
Step 1: Gather Context
First, understand what needs to be done:
- What did the user ask for?
- What's the current project context?
- Any specific constraints or preferences?
Step 2: Analyze & Classify
| Dimension | Options |
|---|---|
| Type | New Feature / Bug Fix / Refactor / Research / Review / Testing |
| Complexity | Simple (1 agent) / Medium (2-3) / Complex (4+) / Epic (phased) |
| Risk | Low / Medium / High (security-sensitive?) |
Step 3: Select Agents
Available Agents Quick Reference
Understanding & Planning:
Explore- 快速搜索、理解代码库 (haiku)planner- 功能规划、步骤拆分 (sonnet)architect- 系统设计、架构决策 (opus)
Implementation:
build-error-resolver- 修复构建错误 (haiku)prompt-writer- 写 LLM prompts (sonnet)
Quality (可并行):
code-reviewer- 代码质量 (sonnet)security-reviewer- 安全检查 (sonnet)test-creator- 生成测试 (sonnet)refactor-cleaner- 清理代码 (haiku)
Verification:
e2e-runner- E2E 测试 (sonnet)doc-updater- 更新文档 (haiku)
Selection Rules
需要理解项目 → Explore
新功能 → planner → 实现 → code-reviewer
涉及安全 → MUST include security-reviewer
Bug 修复 → Explore → 修复 → code-reviewer
重构 → planner → refactor-cleaner → code-reviewer
要测试 → test-creator
构建失败 → build-error-resolver FIRST
写 prompt → prompt-writer
架构决策 → architect
Parallelization
✅ 可并行: code-reviewer + security-reviewer
✅ 可并行: test-creator + refactor-cleaner
✅ 可并行: 多个 Explore (不同目标)
❌ 必须串行: planner → 实现 → review
Step 4: Output Execution Plan
Use this exact format:
Agent Manager Analysis
Task
[一句话描述任务]
Classification
- Type: [type]
- Complexity: [Simple/Medium/Complex]
- Risk: [Low/Medium/High]
Execution Plan
Phase 1: [Name]
| Step | Agent | Task | Model |
|---|---|---|---|
| 1.1 | agent |
具体任务 | model |
[如果可并行，标注 "parallel with 1.x"]
Phase 2: [Name]
...
Ready-to-Execute Commands
Phase 1:
调用 [agent] 执行: "[具体 prompt]"
Phase 2:
并行调用:
- [agent1]: "[prompt1]"
- [agent2]: "[prompt2]"
Checkpoints
- Phase 1 后: [验证什么]
- Phase 2 后: [验证什么]
After Analysis
Once you output the plan, immediately ask the user:
"执行计划已生成。要我按这个计划开始执行吗？"
- 全部执行
- 只执行 Phase 1
- 修改计划
- 取消
Then execute according to user's choice, calling the appropriate subagents via Task tool.
Example Output
Agent Manager Analysis
Task
为 Next.js 项目添加用户评论功能（支持回复、点赞、举报）
Classification
- Type: New Feature
- Complexity: Complex
- Risk: Medium (用户数据)
Execution Plan
Phase 1: Planning
| Step | Agent | Task | Model |
|---|---|---|---|
| 1.1 | planner |
设计评论功能架构和实现步骤 | sonnet |
Phase 2: Implementation
[用户/主 agent 根据计划实现]
Phase 3: Quality Assurance
| Step | Agent | Task | Model |
|---|---|---|---|
| 3.1 | code-reviewer |
Review 代码质量 | sonnet |
| 3.2 | security-reviewer |
检查 XSS、注入风险 | sonnet |
[3.1 和 3.2 并行执行]
Phase 4: Testing
| Step | Agent | Task | Model |
|---|---|---|---|
| 4.1 | test-creator |
生成评论功能测试 | sonnet |
| 4.2 | e2e-runner |
测试完整评论流程 | sonnet |
Ready-to-Execute Commands
Phase 1:
调用 planner: "为 Next.js 项目设计用户评论功能，需要支持：1) 评论 CRUD 2) 嵌套回复 3) 点赞 4) 举报。输出详细实现计划。"
Phase 3 (并行):
调用 code-reviewer: "Review 评论功能代码，检查代码质量和可维护性"
调用 security-reviewer: "检查评论功能安全性，重点：XSS、SQL注入、权限控制"
Checkpoints
- Phase 1 后: 确认计划合理
- Phase 3 后: 确认无严重问题
- Phase 4 后: 确认测试通过
执行计划已生成。要我按这个计划开始执行吗？
Author
Canlah AI — Run performance marketing without breaking your brand.
- GitHub: github.com/PHY041
- All Skills: clawhub.ai/PHY041