[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71FV8ABSXAVJASEEYMJHMG2":3,"skill-same:01M71FV8ABSXAVJASEEYMJHMG2":114},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":57,"install":58,"resources":71},"01M71FV8ABSXAVJASEEYMJHMG2","orchestrating-multi-agent-systems",null,"Orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers.\nUse when building complex AI systems requiring agent collaboration, task delegation, or workflow coordination.\nTrigger with phrases like \"create multi-agent system\", \"orchestrate agents\", or \"coordinate agent workflows\".","JSGforever\u002Fskillguard","JSGforever","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F85541948?v=4","01M71FQD3E132VMR5F4TAYX3YS","01M71FQD4DYW0XJ4XQ4YQH75Y9",2,"MIT","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--orchestrating-multi-agent-systems\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"multi agent systems","multi agent","multi","systems","Orchestrating Multi Agent Systems","task delegation","when","across","coordinate","edit","write","read","node","coordination","Bash","orchestrate","delegation","create","workflows","workflow","2026-11-10 10:12:30",false,"---\nname: orchestrating-multi-agent-systems\nversion: 1.0.0\ndescription: |\n  Orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers.\n  Use when building complex AI systems requiring agent collaboration, task delegation, or workflow coordination.\n  Trigger with phrases like \"create multi-agent system\", \"orchestrate agents\", or \"coordinate agent workflows\".\nallowed-tools: Read, Write, Edit, Grep, Glob, Bash(npm:*, node:*)\nlicense: MIT\n---\n\n## Prerequisites\n\nBefore using this skill, ensure you have:\n- Node.js 18+ installed for TypeScript agent development\n- AI SDK v5 package installed (`npm install ai`)\n- API keys for AI providers (OpenAI, Anthropic, Google, etc.)\n- Understanding of agent-based architecture patterns\n- TypeScript knowledge for agent implementation\n- Project directory structure for multi-agent systems\n\n## Instructions\n\n### Step 1: Initialize Project Structure\nSet up the foundation for your multi-agent system:\n1. Create project directory with necessary subdirectories\n2. Initialize npm project with TypeScript configuration\n3. Install AI SDK v5 and provider-specific packages\n4. Set up configuration files for agent orchestration\n\n### Step 2: Define Agent Roles\nIdentify and specify specialized agents needed:\n- Determine agent responsibilities and capabilities\n- Define agent system prompts with clear instructions\n- Specify tools each agent can access\n- Establish agent communication protocols\n\n### Step 3: Implement Agents\nCreate individual agent files with proper configuration:\n1. Write agent initialization code with AI SDK\n2. Configure system prompts for agent behavior\n3. Define tool functions for agent capabilities\n4. Implement handoff rules for inter-agent delegation\n\n### Step 4: Configure Orchestration\nSet up coordination between agents:\n- Define workflow sequences for task processing\n- Implement routing logic for task distribution\n- Configure handoff mechanisms between agents\n- Set up state management for multi-step workflows\n\n### Step 5: Test and Refine\nValidate the multi-agent system functionality:\n- Test individual agent responses and behaviors\n- Verify handoff execution between agents\n- Validate routing logic with different input scenarios\n- Monitor coordination and identify bottlenecks\n\n## Output\n\nThe skill generates a complete multi-agent system including:\n\n### Project Structure\n```\n{baseDir}\u002F\n├── agents\u002F\n│   ├── coordinator.ts       # Main orchestration agent\n│   ├── specialist-1.ts      # Domain-specific agent\n│   ├── specialist-2.ts      # Domain-specific agent\n│   └── [additional agents]\n├── orchestration\u002F\n│   ├── workflow.ts          # Workflow definitions\n│   ├── routing.ts           # Routing logic\n│   └── handoffs.ts          # Handoff configurations\n├── tools\u002F\n│   └── [agent tools]        # Shared tool implementations\n├── config\u002F\n│   └── agents.config.ts     # Agent configurations\n└── package.json             # Dependencies\n```\n\n### Agent Implementation Files\n- TypeScript files with AI SDK v5 integration\n- System prompts tailored to each agent role\n- Tool definitions and implementations\n- Handoff rules and coordination logic\n\n### Orchestration Configuration\n- Workflow definitions for task sequences\n- Routing rules for intelligent task distribution\n- State management for multi-step processes\n- Error handling and fallback mechanisms\n\n### Documentation\n- Agent role descriptions and capabilities\n- Workflow diagrams showing agent interactions\n- API documentation for agent endpoints\n- Usage examples for common scenarios\n\n## Error Handling\n\nCommon issues and solutions:\n\n**Agent Initialization Failures**\n- Error: AI SDK provider configuration invalid\n- Solution: Verify API keys in environment variables, check provider-specific setup requirements\n\n**Handoff Execution Errors**\n- Error: Agent handoff fails or creates circular dependencies\n- Solution: Review handoff rules for clarity, implement handoff depth limits, add fallback agents\n\n**Routing Logic Failures**\n- Error: Tasks routed to incorrect agent or no agent\n- Solution: Refine routing criteria, add default routing rules, implement topic classification improvement\n\n**Tool Access Violations**\n- Error: Agent attempts to use unauthorized tools\n- Solution: Review tool permissions per agent, implement proper access control, validate tool configurations\n\n**Workflow Deadlocks**\n- Error: Multi-agent workflow stalls without completion\n- Solution: Implement timeout mechanisms, add workflow monitoring, design escape conditions for stuck states\n\n## Resources\n\n### AI SDK Documentation\n- AI SDK v5 official documentation for agent creation\n- Provider-specific integration guides (OpenAI, Anthropic, Google)\n- Tool definition and implementation examples\n- Handoff and routing pattern references\n\n### Multi-Agent Architecture Patterns\n- Coordinator-worker pattern for task distribution\n- Pipeline pattern for sequential processing\n- Hub-and-spoke pattern for centralized coordination\n- Peer-to-peer pattern for collaborative agents\n\n### Agent Design Best Practices\n- Single responsibility principle for agent specialization\n- Clear handoff criteria and routing rules\n- Comprehensive error handling and fallbacks\n- State management for complex workflows\n- Testing strategies for multi-agent systems\n\n### Example Use Cases\n- Code generation pipelines with specialized agents\n- Customer support routing systems\n- Research and analysis workflows\n- Content creation and review pipelines\n- Data processing and validation systems","## Prerequisites\n\nBefore using this skill, ensure you have:\n- Node.js 18+ installed for TypeScript agent development\n- AI SDK v5 package installed (`npm install ai`)\n- API keys for AI providers (OpenAI, Anthropic, Google, etc.)\n- Understanding of agent-based architecture patterns\n- TypeScript knowledge for agent implementation\n- Project directory structure for multi-agent systems\n\n## Instructions\n\n### Step 1: Initialize Project Structure\nSet up the foundation for your multi-agent system:\n1. Create project directory with necessary subdirectories\n2. Initialize npm project with TypeScript configuration\n3. Install AI SDK v5 and provider-specific packages\n4. Set up configuration files for agent orchestration\n\n### Step 2: Define Agent Roles\nIdentify and specify specialized agents needed:\n- Determine agent responsibilities and capabilities\n- Define agent system prompts with clear instructions\n- Specify tools each agent can access\n- Establish agent communication protocols\n\n### Step 3: Implement Agents\nCreate individual agent files with proper configuration:\n1. Write agent initialization code with AI SDK\n2. Configure system prompts for agent behavior\n3. Define tool functions for agent capabilities\n4. Implement handoff rules for inter-agent delegation\n\n### Step 4: Configure Orchestration\nSet up coordination between agents:\n- Define workflow sequences for task processing\n- Implement routing logic for task distribution\n- Configure handoff mechanisms between agents\n- Set up state management for multi-step workflows\n\n### Step 5: Test and Refine\nValidate the multi-agent system functionality:\n- Test individual agent responses and behaviors\n- Verify handoff execution between agents\n- Validate routing logic with different input scenarios\n- Monitor coordination and identify bottlenecks\n\n## Output\n\nThe skill generates a complete multi-agent system including:\n\n### Project Structure\n```\n{baseDir}\u002F\n├── agents\u002F\n│   ├── coordinator.ts       # Main orchestration agent\n│   ├── specialist-1.ts      # Domain-specific agent\n│   ├── specialist-2.ts      # Domain-specific agent\n│   └── [additional agents]\n├── orchestration\u002F\n│   ├── workflow.ts          # Workflow definitions\n│   ├── routing.ts           # Routing logic\n│   └── handoffs.ts          # Handoff configurations\n├── tools\u002F\n│   └── [agent tools]        # Shared tool implementations\n├── config\u002F\n│   └── agents.config.ts     # Agent configurations\n└── package.json             # Dependencies\n```\n\n### Agent Implementation Files\n- TypeScript files with AI SDK v5 integration\n- System prompts tailored to each agent role\n- Tool definitions and implementations\n- Handoff rules and coordination logic\n\n### Orchestration Configuration\n- Workflow definitions for task sequences\n- Routing rules for intelligent task distribution\n- State management for multi-step processes\n- Error handling and fallback mechanisms\n\n### Documentation\n- Agent role descriptions and capabilities\n- Workflow diagrams showing agent interactions\n- API documentation for agent endpoints\n- Usage examples for common scenarios\n\n## Error Handling\n\nCommon issues and solutions:\n\n**Agent Initialization Failures**\n- Error: AI SDK provider configuration invalid\n- Solution: Verify API keys in environment variables, check provider-specific setup requirements\n\n**Handoff Execution Errors**\n- Error: Agent handoff fails or creates circular dependencies\n- Solution: Review handoff rules for clarity, implement handoff depth limits, add fallback agents\n\n**Routing Logic Failures**\n- Error: Tasks routed to incorrect agent or no agent\n- Solution: Refine routing criteria, add default routing rules, implement topic classification improvement\n\n**Tool Access Violations**\n- Error: Agent attempts to use unauthorized tools\n- Solution: Review tool permissions per agent, implement proper access control, validate tool configurations\n\n**Workflow Deadlocks**\n- Error: Multi-agent workflow stalls without completion\n- Solution: Implement timeout mechanisms, add workflow monitoring, design escape conditions for stuck states\n\n## Resources\n\n### AI SDK Documentation\n- AI SDK v5 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