Agent skill · product strategy · sickn33
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, including specific phases and integration patterns that the AI wouldn't generate on its own.
What it needs
About 3k tokens when loaded. Last updated 2026-08-07. 44,571 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 Scope and execution Choose the phases that match the user’s task; this document is an index, not an instruction to run every listed skill. Read a selected skill before using it. Respect repository and user constraints. Cloud calls, host configuration, publishing, destructive operations and spending require the applicable authorization; a workflow checklist does not grant it. Multi-agent phases describe the product being built. They do not authorize the assistant to spawn or delegate to agents during this task. Use an existing single-agent architecture when appropriate and record evaluation inputs, observed results and limitations. 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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/ai-agent-development--6eb259