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
Provides a structured workflow for developing autonomous agents and multi-agent systems, including specific integration patterns and evaluation criteria that the AI wouldn't reliably 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--271815