ai-agent-development

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AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.

AI & Automation 335 stars 29 forks Updated today

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Skill Content

# 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 Prompt...

Details

Author
aiskillstore
Repository
aiskillstore/marketplace
Created
5 months ago
Last Updated
today
Language
Python
License
None

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