Skill: phy041/phy-agent-manager (version 1.0.2)

--- name: agent-manager description: Meta-orchestrator that analyzes tasks and creates execution plans using subagents. Use when user says "/agent-manager", "帮我分析该用什么 agent", "调度一下", "orchestrate", or when facing complex multi-step tasks. Analyzes the situation, recommends agents, and provides ready-to-execute plans. homepage: https://canlah.ai --- # 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](https://canlah.ai)** — Run performance marketing without breaking your brand. - GitHub: [github.com/PHY041](https://github.com/PHY041) - All Skills: [clawhub.ai/PHY041](https://clawhub.ai/PHY041)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)