Back to Details

ai-agent-development

Compare original and translation side by side

🇺🇸

Original

English
🇨🇳

Translation

Chinese

AI Agent Development Workflow

AI Agent开发工作流

Overview

概述

Specialized workflow for building AI agents including single autonomous agents, multi-agent systems, agent orchestration, tool integration, and human-in-the-loop patterns.
用于构建AI Agent的专业化工作流，包括单自主Agent、多Agent系统、Agent编排、工具集成及人在回路模式。

When to Use This Workflow

何时使用该工作流

Use this workflow when:
  • Building autonomous AI agents
  • Creating multi-agent systems
  • Implementing agent orchestration
  • Adding tool integration to agents
  • Setting up agent memory
在以下场景使用本工作流：
  • 构建自主AI Agent
  • 创建多Agent系统
  • 实现Agent编排
  • 为Agent添加工具集成
  • 搭建Agent记忆系统

Workflow Phases

工作流阶段

Phase 1: Agent Design

阶段1：Agent设计

Skills to Invoke

需调用的技能

  • ai-agents-architect
    - Agent architecture
  • autonomous-agents
    - Autonomous patterns
  • ai-agents-architect
    - Agent架构设计
  • autonomous-agents
    - 自主模式

Actions

操作步骤

  1. Define agent purpose
  2. Design agent capabilities
  3. Plan tool integration
  4. Design memory system
  5. Define success metrics
  1. 定义Agent目标
  2. 设计Agent能力
  3. 规划工具集成
  4. 设计记忆系统
  5. 定义成功指标

Copy-Paste Prompts

可复制粘贴的提示词

Use @ai-agents-architect to design AI agent architecture
Use @ai-agents-architect to design AI agent architecture

Phase 2: Single Agent Implementation

阶段2：单Agent实现

Skills to Invoke

需调用的技能

  • autonomous-agent-patterns
    - Agent patterns
  • autonomous-agents
    - Autonomous agents
  • autonomous-agent-patterns
    - Agent模式
  • autonomous-agents
    - 自主Agent

Actions

操作步骤

  1. Choose agent framework
  2. Implement agent logic
  3. Add tool integration
  4. Configure memory
  5. Test agent behavior
  1. 选择Agent框架
  2. 实现Agent逻辑
  3. 添加工具集成
  4. 配置记忆系统
  5. 测试Agent行为

Copy-Paste Prompts

可复制粘贴的提示词

Use @autonomous-agent-patterns to implement single agent
Use @autonomous-agent-patterns to implement single agent

Phase 3: Multi-Agent System

阶段3：多Agent系统

Skills to Invoke

需调用的技能

  • crewai
    - CrewAI framework
  • multi-agent-patterns
    - Multi-agent patterns
  • crewai
    - CrewAI框架
  • multi-agent-patterns
    - 多Agent模式

Actions

操作步骤

  1. Define agent roles
  2. Set up agent communication
  3. Configure orchestration
  4. Implement task delegation
  5. Test coordination
  1. 定义Agent角色
  2. 搭建Agent通信机制
  3. 配置编排规则
  4. 实现任务委派
  5. 测试协同能力

Copy-Paste Prompts

可复制粘贴的提示词

Use @crewai to build multi-agent system with roles
Use @crewai to build multi-agent system with roles

Phase 4: Agent Orchestration

阶段4：Agent编排

Skills to Invoke

需调用的技能

  • langgraph
    - LangGraph orchestration
  • workflow-orchestration-patterns
    - Orchestration
  • langgraph
    - LangGraph编排
  • workflow-orchestration-patterns
    - 编排模式

Actions

操作步骤

  1. Design workflow graph
  2. Implement state management
  3. Add conditional branches
  4. Configure persistence
  5. Test workflows
  1. 设计工作流图
  2. 实现状态管理
  3. 添加条件分支
  4. 配置持久化
  5. 测试工作流

Copy-Paste Prompts

可复制粘贴的提示词

Use @langgraph to create stateful agent workflows
Use @langgraph to create stateful agent workflows

Phase 5: Tool Integration

阶段5：工具集成

Skills to Invoke

需调用的技能

  • agent-tool-builder
    - Tool building
  • tool-design
    - Tool design
  • agent-tool-builder
    - 工具构建
  • tool-design
    - 工具设计

Actions

操作步骤

  1. Identify tool needs
  2. Design tool interfaces
  3. Implement tools
  4. Add error handling
  5. Test tool usage
  1. 确定工具需求
  2. 设计工具接口
  3. 实现工具功能
  4. 添加错误处理
  5. 测试工具使用

Copy-Paste Prompts

可复制粘贴的提示词

Use @agent-tool-builder to create agent tools
Use @agent-tool-builder to create agent tools

Phase 6: Memory Systems

阶段6：记忆系统

Skills to Invoke

需调用的技能

  • agent-memory-systems
    - Memory architecture
  • conversation-memory
    - Conversation memory
  • agent-memory-systems
    - 记忆架构
  • conversation-memory
    - 对话记忆

Actions

操作步骤

  1. Design memory structure
  2. Implement short-term memory
  3. Set up long-term memory
  4. Add entity memory
  5. Test memory retrieval
  1. 设计记忆结构
  2. 实现短期记忆
  3. 搭建长期记忆
  4. 添加实体记忆
  5. 测试记忆检索

Copy-Paste Prompts

可复制粘贴的提示词

Use @agent-memory-systems to implement agent memory
Use @agent-memory-systems to implement agent memory

Phase 7: Evaluation

阶段7：评估

Skills to Invoke

需调用的技能

  • agent-evaluation
    - Agent evaluation
  • evaluation
    - AI evaluation
  • agent-evaluation
    - Agent评估
  • evaluation
    - AI评估

Actions

操作步骤

  1. Define evaluation criteria
  2. Create test scenarios
  3. Measure agent performance
  4. Test edge cases
  5. Iterate improvements
  1. 定义评估标准
  2. 创建测试场景
  3. 衡量Agent性能
  4. 测试边缘案例
  5. 迭代优化改进

Copy-Paste Prompts

可复制粘贴的提示词

Use @agent-evaluation to evaluate agent performance
Use @agent-evaluation to evaluate agent performance

Agent Architecture

Agent架构

User Input -> Planner -> Agent -> Tools -> Memory -> Response
              |          |        |        |
         Decompose   LLM Core  Actions  Short/Long-term
User Input -> Planner -> Agent -> Tools -> Memory -> Response
              |          |        |        |
         Decompose   LLM Core  Actions  Short/Long-term

Quality Gates

质量检查项

  • Agent logic working
  • Tools integrated
  • Memory functional
  • Orchestration tested
  • Evaluation passing
  • Agent逻辑正常运行
  • 工具已集成
  • 记忆系统功能正常
  • 编排已测试
  • 评估通过

Related Workflow Bundles

相关工作流包

  • ai-ml
    - AI/ML development
  • rag-implementation
    - RAG systems
  • workflow-automation
    - Workflow patterns
  • ai-ml
    - AI/ML开发
  • rag-implementation
    - RAG系统
  • workflow-automation
    - 工作流模式