AI Agent 开发
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AI Agent Development Workflow
Overview
Specialized workflow for building AI agents including single autonomous agents, multi-agent systems, agent orchestration, tool integration, and human-in-the-loop patterns.
When to Use This Workflow
Use this workflow when:
- Building autonomous AI agents
- Creating multi-agent systems
- Implementing agent orchestration
- Adding tool integration to agents
- Setting up agent memory
Workflow Phases
Phase 1: Agent Design
Skills to Invoke
ai-agents-architect- Agent architectureautonomous-agents- Autonomous patterns
Actions
- Define agent purpose
- Design agent capabilities
- Plan tool integration
- Design memory system
- Define success metrics
Copy-Paste Prompts
Use @ai-agents-architect to design AI agent architecturePhase 2: Single Agent Implementation
Skills to Invoke
autonomous-agent-patterns- Agent patternsautonomous-agents- Autonomous agents
Actions
- Choose agent framework
- Implement agent logic
- Add tool integration
- Configure memory
- Test agent behavior
Copy-Paste Prompts
Use @autonomous-agent-patterns to implement single agentPhase 3: Multi-Agent System
Skills to Invoke
crewai- CrewAI frameworkmulti-agent-patterns- Multi-agent patterns
Actions
- Define agent roles
- Set up agent communication
- Configure orchestration
- Implement task delegation
- Test coordination
Copy-Paste Prompts
Use @crewai to build multi-agent system with rolesPhase 4: Agent Orchestration
Skills to Invoke
langgraph- LangGraph orchestrationworkflow-orchestration-patterns- Orchestration
Actions
- Design workflow graph
- Implement state management
- Add conditional branches
- Configure persistence
- Test workflows
Copy-Paste Prompts
Use @langgraph to create stateful agent workflowsPhase 5: Tool Integration
Skills to Invoke
agent-tool-builder- Tool buildingtool-design- Tool design
Actions
- Identify tool needs
- Design tool interfaces
- Implement tools
- Add error handling
- Test tool usage
Copy-Paste Prompts
Use @agent-tool-builder to create agent toolsPhase 6: Memory Systems
Skills to Invoke
agent-memory-systems- Memory architectureconversation-memory- Conversation memory
Actions
- Design memory structure
- Implement short-term memory
- Set up long-term memory
- Add entity memory
- Test memory retrieval
Copy-Paste Prompts
Use @agent-memory-systems to implement agent memoryPhase 7: Evaluation
Skills to Invoke
agent-evaluation- Agent evaluationevaluation- AI evaluation
Actions
- Define evaluation criteria
- Create test scenarios
- Measure agent performance
- Test edge cases
- Iterate improvements
Copy-Paste Prompts
Use @agent-evaluation to evaluate agent performanceAgent Architecture
User Input -> Planner -> Agent -> Tools -> Memory -> Response
| | | |
Decompose LLM Core Actions Short/Long-termQuality Gates
- Agent logic working
- Tools integrated
- Memory functional
- Orchestration tested
- Evaluation passing
Related Workflow Bundles
ai-ml- AI/ML developmentrag-implementation- RAG systemsworkflow-automation- Workflow patterns
<!-- tomevault:4.0:skill_md:2026-05-23 -->Source: Andruia/antigravity-awesome-skills — distributed by TomeVault.
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- 安装命令数
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档案由构建时根据 SKILL.md 与安装命令自动衍生，可能与作者实际意图存在差异。
需要注意： 未限定 allowed-tools，默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。 When to Use This Workflow
Use this workflow when: Building autonomous AI agents Creating multi-agent systems
Workflow Phases
Workflow Phases
Phase 1: Agent Design
Skills to Invoke ai-agents-architect - Agent architecture autonomous-agents - Autonomous patterns
Phase 2: Single Agent Implementation
Skills to Invoke autonomous-agent-patterns - Agent patterns autonomous-agents - Autonomous agents
Phase 3: Multi-Agent System
Skills to Invoke crewai - CrewAI framework multi-agent-patterns - Multi-agent patterns
Phase 4: Agent Orchestration
Skills to Invoke langgraph - LangGraph orchestration workflow-orchestration-patterns - Orchestration
# AI Agent Development Workflow
## Overview
Specialized workflow for building AI agents including single autonomous agents, multi-agent systems, agent orchestration, tool integration, and human-in-the-loop patterns.
## When to Use This Workflow
Use this workflow when:
- Building autonomous AI agents
- Creating multi-agent systems
- Implementing agent orchestration
- Adding tool integration to agents
- Setting up agent memory
## Workflow Phases
### Phase 1: Agent Design
#### Skills to Invoke
- `ai-agents-architect` - Agent architecture
- `autonomous-agents` - Autonomous patterns
#### Actions
1. Define agent purpose
2. Design agent capabilities
3. Plan tool integration
4. Design memory system
5. Define success metrics
#### Copy-Paste Prompts
```
Use @ai-agents-architect to design AI agent architecture
```
### Phase 2: Single Agent Implementation
#### Skills to Invoke
- `autonomous-agent-patterns` - Agent patterns
- `autonomous-agents` - Autonomous agents
#### Actions
1. Choose agent framework
2. Implement agent logic
3. Add tool integration
4. Configure memory
5. Test agent behavior
#### Copy-Paste Prompts
```
Use @autonomous-agent-patterns to implement single agent
```
### Phase 3: Multi-Agent System
#### Skills to Invoke
- `crewai` - CrewAI framework
- `multi-agent-patterns` - Multi-agent patterns
#### Actions
1. Define agent roles
2. Set up agent communication
3. Configure orchestration
4. Implement task delegation
5. Test coordination
#### Copy-Paste Prompts
```
Use @crewai to build multi-agent system with roles
```
### Phase 4: Agent Orchestration
#### Skills to Invoke
- `langgraph` - LangGraph orchestration
- `workflow-orchestration-patterns` - Orchestration
#### Actions
1. Design workflow graph
2. Implement state management
… 证据边界与执行链路
作者原文负责流程事实；流狐只索引当前章节、要点、文件与命令。
章节 -> Overview → When to Use This Workflow → Workflow Phases → Phase 1: Agent Design → Phase 2: Single Agent Implementation → Phase 3: Multi-Agent System
要点 -> 原文未标出关键词
文件/命令 -> ai-agents-architect · autonomous-agents · autonomous-agent-patterns · crewai · multi-agent-patterns · langgraph · workflow-orchestration-patterns · agent-tool-builder
内容 SHA-256 -> 31972fc4f69e
方法与流程
适用与边界
原文中的明确线索
ai-agents-architect、autonomous-agents、autonomous-agent-patterns、crewai、multi-agent-patterns、langgraph、workflow-orchestration-patterns、agent-tool-builder