Agent skill · software engineering · aiskillstore
ai-agent-development
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
Why this skill is useful
Adds a comprehensive workflow for building autonomous agents and multi-agent systems, including specific integration patterns and orchestration techniques not commonly found in public resources.
What it needs
Requires crewai, langgraph installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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 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 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 Prompts Phase 4: Agent Orchestration Skills to Invoke langgraph - LangGraph orchestration workflow-orchestration-patterns - Orchestration Actions 1. Design workflow graph 2. Implement state management 3. Add conditional branches 4. Configure persistence 5. Test workflows Copy-Paste Prompts Phase 5: Tool Integration Skills to Invoke agent-tool-builder - Tool building tool-design - Tool design Actions 1. Identify tool needs 2. Design tool interfaces 3. Implement tools 4. Add error handling 5. Test tool usage Copy-Paste Prompts Phase 6: Memory Systems Skills to Invoke agent-memory-systems - Memory architecture conversation-memory - Conversation memory Actions 1. Design memory structure 2. Implement short-term memory 3. Set up long-term memory 4. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/ai-agent-development