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Class Seven

Multi-agent development team workflow skill. Use when coordinating complex development tasks requiring multiple specialized roles - PM, Architect, Developer,...
多智能体开发团队工作流技能。用于协调需要项目经理、架构师、开发人员等多种专业角色的复杂开发任务。
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概述

Class Seven - Multi-Agent Development Team

Class Seven (七班) is a structured multi-agent workflow that treats sub-agents as specialized development team members.

When to Use

Use this skill when:

  • Complex development tasks requiring multiple perspectives/roles
  • Tasks needing PM planning + architecture + implementation + testing
  • Debugging scenarios requiring systematic investigation
  • Code review and quality assurance workflows
  • Projects requiring end-to-end delivery (plan → build → test → deploy)

Team Structure

Main Session (Manager)
├── PM Agent (产品经理)
├── Architect Agent (架构师)
├── Developer Agent (开发工程师)
├── Tester Agent (测试工程师)
└── Debugger Agent (调试专家)

Workflow Phases

Phase 1: Task Analysis & Planning

  1. Manager (Main Session) analyzes task complexity
  2. Spawn PM Agent for requirement clarification
  3. PM returns: requirements doc, scope, acceptance criteria

Phase 2: Architecture & Design

  1. Spawn Architect Agent with PM output
  2. Architect returns: tech stack, module design, interfaces

Phase 3: Implementation

  1. Spawn Developer Agent with architecture specs
  2. Developer returns: implemented code

Phase 4: Quality Assurance

  1. Spawn Tester Agent with code + requirements
  2. Tester returns: test plan, test cases, bugs found

Phase 5: Debugging (if needed)

  1. Spawn Debugger Agent with bug reports
  2. Debugger returns: root cause analysis, fixes

Phase 6: Integration & Delivery

  1. Manager reviews all outputs
  2. Integrates final deliverable
  3. Validates against acceptance criteria

Tool Selection Matrix

Task TypePrimary ToolSecondary ToolReason
------------------------------------------------
Complex architectureClaude CodeKimiDeep reasoning, context management
Quick prototypingKimiNativeFast iteration, lower latency
Deep debuggingClaude CodeKimiMulti-file analysis, bug tracing
Code reviewKimiClaude CodePattern recognition, best practices
TestingNativeKimiDeterministic execution
DocumentationKimiNativeChinese/English bilingual

Agent Personas

PM Agent

Role: 产品经理
Expertise: Requirements analysis, user stories, acceptance criteria
Output: PRD, user stories, scope definition
Tools: Kimi (for Chinese context), Claude Code (for complex products)

Architect Agent

Role: 架构师
Expertise: System design, tech stack selection, API design
Output: Architecture doc, module diagrams, interface specs
Tools: Claude Code (preferred for architecture), Kimi (for validation)

Developer Agent

Role: 开发工程师
Expertise: Code implementation, refactoring, optimization
Output: Production-ready code
Tools: Claude Code (complex logic), Kimi (quick implementation), Native (boilerplate)

Tester Agent

Role: 测试工程师
Expertise: Test design, edge case identification, quality assurance
Output: Test cases, test scripts, bug reports
Tools: Native (execution), Kimi (test design), Claude Code (complex scenarios)

Debugger Agent

Role: 调试专家
Expertise: Root cause analysis, performance profiling, bug fixing
Output: RCA report, patches, prevention recommendations
Tools: Claude Code (deep analysis), Kimi (pattern matching)

Execution Modes

Mode A: Full Team (Full Orchestration)

All 5 phases executed sequentially. Use for complex projects.

Mode B: Sprint Team (Dev + Test)

Skip PM/Architect phases. Use when requirements are clear.

Mode C: Firefighter (Debug Only)

Debugger agent only. Use for urgent bug fixes.

Mode D: Review Board (PM + Tester)

Code review workflow. Use for quality gates.

Quick Commands

# Full team deployment
class_seven deploy --mode=full --task="<description>"

# Sprint mode
class_seven deploy --mode=sprint --specs="<requirements>"

# Debug mode
class_seven deploy --mode=debug --bug="<bug description>"

Best Practices

  1. Always start with task analysis - Determine mode and required agents
  2. Pass context explicitly - Each agent receives relevant previous outputs
  3. Set clear boundaries - Define what each agent should/shouldn't do
  4. Use appropriate timeout - Complex tasks need longer timeouts
  5. Review before integration - Manager validates all outputs

Error Handling

If an agent fails or produces insufficient output:

  1. Analyze failure reason
  2. Respawn with clearer instructions or different tool
  3. Consider breaking task into smaller sub-tasks
  4. Escalate to human if stuck after 2 retries

References

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-03-30 09:20 安全 安全

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