[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71R79SS2Q976285YQ2Y24Y2":3,"skill-same:01M71R79SS2Q976285YQ2Y24Y2":70},{"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":50,"commitSha":51,"skillDirectory":52,"forksCount":13,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":55,"install":56,"resources":69},"01M71R79SS2Q976285YQ2Y24Y2","ai-agent-development",null,"AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.","javiertarazon\u002Fide-agente-free-jt7-","javiertarazon","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F153141207?v=4","01M71R52TB3S9HXKH6WSNT8A7V","01M71R52VG5KS2DKDDH4GDQ30A",0,"MIT","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fai-agent-development\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],"ai agent","development","ai agent development","agent development","langgraph","ai-ml","multi","with","ml","custom","for","personal","multi-agent","safe","development workflow","workflow","orchestration","agent orchestration","autonomous","custom agents","2026-11-10 13:02:02",false,"---\nname: ai-agent-development\ndescription: \"AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.\"\nsource: personal\nrisk: safe\ndomain: ai-ml\ncategory: granular-workflow-bundle\nversion: 1.0.0\n---\n\n# AI Agent Development Workflow\n\n## Overview\n\nSpecialized workflow for building AI agents including single autonomous agents, multi-agent systems, agent orchestration, tool integration, and human-in-the-loop patterns.\n\n## When to Use This Workflow\n\nUse this workflow when:\n- Building autonomous AI agents\n- Creating multi-agent systems\n- Implementing agent orchestration\n- Adding tool integration to agents\n- Setting up agent memory\n\n## Workflow Phases\n\n### Phase 1: Agent Design\n\n#### Skills to Invoke\n- `ai-agents-architect` - Agent architecture\n- `autonomous-agents` - Autonomous patterns\n\n#### Actions\n1. Define agent purpose\n2. Design agent capabilities\n3. Plan tool integration\n4. Design memory system\n5. Define success metrics\n\n#### Copy-Paste Prompts\n```\nUse @ai-agents-architect to design AI agent architecture\n```\n\n### Phase 2: Single Agent Implementation\n\n#### Skills to Invoke\n- `autonomous-agent-patterns` - Agent patterns\n- `autonomous-agents` - Autonomous agents\n\n#### Actions\n1. Choose agent framework\n2. Implement agent logic\n3. Add tool integration\n4. Configure memory\n5. Test agent behavior\n\n#### Copy-Paste Prompts\n```\nUse @autonomous-agent-patterns to implement single agent\n```\n\n### Phase 3: Multi-Agent System\n\n#### Skills to Invoke\n- `crewai` - CrewAI framework\n- `multi-agent-patterns` - Multi-agent patterns\n\n#### Actions\n1. Define agent roles\n2. Set up agent communication\n3. Configure orchestration\n4. Implement task delegation\n5. Test coordination\n\n#### Copy-Paste Prompts\n```\nUse @crewai to build multi-agent system with roles\n```\n\n### Phase 4: Agent Orchestration\n\n#### Skills to Invoke\n- `langgraph` - LangGraph orchestration\n- `workflow-orchestration-patterns` - Orchestration\n\n#### Actions\n1. Design workflow graph\n2. Implement state management\n3. Add conditional branches\n4. Configure persistence\n5. Test workflows\n\n#### Copy-Paste Prompts\n```\nUse @langgraph to create stateful agent workflows\n```\n\n### Phase 5: Tool Integration\n\n#### Skills to Invoke\n- `agent-tool-builder` - Tool building\n- `tool-design` - Tool design\n\n#### Actions\n1. Identify tool needs\n2. Design tool interfaces\n3. Implement tools\n4. Add error handling\n5. Test tool usage\n\n#### Copy-Paste Prompts\n```\nUse @agent-tool-builder to create agent tools\n```\n\n### Phase 6: Memory Systems\n\n#### Skills to Invoke\n- `agent-memory-systems` - Memory architecture\n- `conversation-memory` - Conversation memory\n\n#### Actions\n1. Design memory structure\n2. Implement short-term memory\n3. Set up long-term memory\n4. Add entity memory\n5. Test memory retrieval\n\n#### Copy-Paste Prompts\n```\nUse @agent-memory-systems to implement agent memory\n```\n\n### Phase 7: Evaluation\n\n#### Skills to Invoke\n- `agent-evaluation` - Agent evaluation\n- `evaluation` - AI evaluation\n\n#### Actions\n1. Define evaluation criteria\n2. Create test scenarios\n3. Measure agent performance\n4. Test edge cases\n5. Iterate improvements\n\n#### Copy-Paste Prompts\n```\nUse @agent-evaluation to evaluate agent performance\n```\n\n## Agent Architecture\n\n```\nUser Input -> Planner -> Agent -> Tools -> Memory -> Response\n              |          |        |        |\n         Decompose   LLM Core  Actions  Short\u002FLong-term\n```\n\n## Quality Gates\n\n- [ ] Agent logic working\n- [ ] Tools integrated\n- [ ] Memory functional\n- [ ] Orchestration tested\n- [ ] Evaluation passing\n\n## Related Workflow Bundles\n\n- `ai-ml` - AI\u002FML development\n- `rag-implementation` - RAG systems\n- `workflow-automation` - Workflow patterns\n","# AI Agent Development Workflow\n\n## Overview\n\nSpecialized workflow for building AI agents including single autonomous agents, multi-agent systems, agent orchestration, tool integration, and human-in-the-loop patterns.\n\n## When to Use This Workflow\n\nUse this workflow when:\n- Building autonomous AI agents\n- Creating multi-agent systems\n- Implementing agent orchestration\n- Adding tool integration to agents\n- Setting up agent memory\n\n## Workflow Phases\n\n### Phase 1: Agent Design\n\n#### Skills to Invoke\n- `ai-agents-architect` - Agent architecture\n- `autonomous-agents` - Autonomous patterns\n\n#### Actions\n1. Define agent purpose\n2. Design agent capabilities\n3. Plan tool integration\n4. Design memory system\n5. Define success metrics\n\n#### Copy-Paste Prompts\n```\nUse @ai-agents-architect to design AI agent architecture\n```\n\n### Phase 2: Single Agent Implementation\n\n#### Skills to Invoke\n- `autonomous-agent-patterns` - Agent patterns\n- `autonomous-agents` - Autonomous agents\n\n#### Actions\n1. Choose agent framework\n2. Implement agent logic\n3. Add tool integration\n4. Configure memory\n5. Test agent behavior\n\n#### Copy-Paste Prompts\n```\nUse @autonomous-agent-patterns to implement single agent\n```\n\n### Phase 3: Multi-Agent System\n\n#### Skills to Invoke\n- `crewai` - CrewAI framework\n- `multi-agent-patterns` - Multi-agent patterns\n\n#### Actions\n1. Define agent roles\n2. Set up agent communication\n3. Configure orchestration\n4. Implement task delegation\n5. Test coordination\n\n#### Copy-Paste Prompts\n```\nUse @crewai to build multi-agent system with roles\n```\n\n### Phase 4: Agent Orchestration\n\n#### Skills to Invoke\n- `langgraph` - LangGraph orchestration\n- `workflow-orchestration-patterns` - Orchestration\n\n#### Actions\n1. Design workflow graph\n2. Implement state management\n3. Add conditional branches\n4. Configure persistence\n5. Test workflows\n\n#### Copy-Paste Prompts\n```\nUse @langgraph to create stateful agent workflows\n```\n\n### Phase 5: Tool Integration\n\n#### Skills to Invoke\n- `agent-tool-builder` - Tool building\n- `tool-design` - Tool design\n\n#### Actions\n1. Identify tool needs\n2. Design tool interfaces\n3. Implement tools\n4. Add error handling\n5. Test tool usage\n\n#### Copy-Paste Prompts\n```\nUse @agent-tool-builder to create agent tools\n```\n\n### Phase 6: Memory Systems\n\n#### Skills to Invoke\n- `agent-memory-systems` - Memory architecture\n- `conversation-memory` - Conversation memory\n\n#### Actions\n1. Design memory structure\n2. Implement short-term memory\n3. Set up long-term memory\n4. Add entity memory\n5. Test memory retrieval\n\n#### Copy-Paste Prompts\n```\nUse @agent-memory-systems to implement agent memory\n```\n\n### Phase 7: Evaluation\n\n#### Skills to Invoke\n- `agent-evaluation` - Agent evaluation\n- `evaluation` - AI evaluation\n\n#### Actions\n1. Define evaluation criteria\n2. Create test scenarios\n3. Measure agent performance\n4. Test edge cases\n5. 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