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agentlisted

AI agent development. ReAct/plan-and-execute/multi-agent architectures, tool design, memory systems, guardrails, orchestration (LangChain, LlamaIndex, CrewAI, AutoGen).
arbazkhan971/godmode · ★ 26 · AI & Automation · score 79
Install: claude install-skill arbazkhan971/godmode
# Agent — AI Agent Development ## Activate When - User invokes `/godmode:agent` - User says "build an AI agent", "create an agent", "add tools to my agent" - User says "design agent memory", "agent keeps looping", "agent safety" - When building autonomous or semi-autonomous LLM-powered systems - When `/godmode:prompt` identifies a need for agentic capabilities (tool use, multi-step reasoning) - When `/godmode:rag` needs to be wrapped in an agent loop - When the orchestrator detects agent frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, custom agent loops) in code ## Workflow ### Step 1: Agent Discovery & Requirements Understand what the agent must accomplish: ``` AGENT DISCOVERY: Purpose: <what the agent must autonomously accomplish> Type: - Single-agent: One agent with tools (most common) - Multi-agent: Multiple specialized agents coordinating - Human-in-the-loop: Agent proposes, human approves critical actions User interaction: - Conversational: User chats with agent in real-time - Autonomous: Agent runs a task to completion without user input - Supervised: Agent asks for confirmation at decision points Environment: - Tools available: <list of APIs, databases, code execution, file systems> - External systems: <services the agent will interact with> ``` If the user hasn't specified, ask: "What should this agent do autonomously? What tools does it need?" ### Step 2: Architecture Pattern Selection Select the agent architecture pattern: ``` AGENT ARCH