AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
63
Quality
44%
Does it follow best practices?
Impact
97%
0.97xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/antigravity-ai-agent-development/SKILL.mdSpecialized workflow for building AI agents including single autonomous agents, multi-agent systems, agent orchestration, tool integration, and human-in-the-loop patterns.
Use this workflow when:
ai-agents-architect - Agent architectureautonomous-agents - Autonomous patternsUse @ai-agents-architect to design AI agent architectureautonomous-agent-patterns - Agent patternsautonomous-agents - Autonomous agentsUse @autonomous-agent-patterns to implement single agentcrewai - CrewAI frameworkmulti-agent-patterns - Multi-agent patternsUse @crewai to build multi-agent system with roleslanggraph - LangGraph orchestrationworkflow-orchestration-patterns - OrchestrationUse @langgraph to create stateful agent workflowsagent-tool-builder - Tool buildingtool-design - Tool designUse @agent-tool-builder to create agent toolsagent-memory-systems - Memory architectureconversation-memory - Conversation memoryUse @agent-memory-systems to implement agent memoryagent-evaluation - Agent evaluationevaluation - AI evaluationUse @agent-evaluation to evaluate agent performanceUser Input -> Planner -> Agent -> Tools -> Memory -> Response
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Decompose LLM Core Actions Short/Long-termai-ml - AI/ML developmentrag-implementation - RAG systemsworkflow-automation - Workflow patterns5c5ae21
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