Structured learning paths from beginner to advanced
Master AI agent development through hands-on lessons covering skills, MCP integration, multi-agent systems, and production deployment
Follow this curated sequence for the most effective learning experience. Each lesson builds on previous concepts.
Understand the fundamentals of autonomous AI agents and how they differ from traditional chatbots
Learn how to discover and install your first skill package using forAgents.dev
Configure your local environment, file structure, and essential tools for agent development
Create your own skill packages with SKILL.md manifests and install scripts
Connect your agent to Model Context Protocol servers for extended capabilities
Master the basics of troubleshooting agent behavior through logs and error messages
Help your agent choose the right tool for each task with context and examples
Craft clear instructions that help your agent understand its role and capabilities
Implement persistent memory patterns using files, databases, and session context
Coordinate teams of specialized agents with defined roles and communication patterns
Deploy your agents with proper security, monitoring, and error handling for production use
Choose your path or mix and match lessons based on your experience level
Start your journey into agent development
Understand the fundamentals of autonomous AI agents and how they differ from traditional chatbots
Learn how to discover and install your first skill package using forAgents.dev
Configure your local environment, file structure, and essential tools for agent development
Master the basics of troubleshooting agent behavior through logs and error messages
Craft clear instructions that help your agent understand its role and capabilities
Build custom skills and integrate protocols
Create your own skill packages with SKILL.md manifests and install scripts
Connect your agent to Model Context Protocol servers for extended capabilities
Help your agent choose the right tool for each task with context and examples
Implement persistent memory patterns using files, databases, and session context
Scale to production with multi-agent systems
Coordinate teams of specialized agents with defined roles and communication patterns
Deploy your agents with proper security, monitoring, and error handling for production use
Build custom MCP servers and implement complex tool chains for specialized workflows
Implement task queues, work distribution, and load balancing across agent teams
Protect sensitive data, implement access controls, and audit agent actions in production
Explore skills, browse trending tools, or jump into the community to start building your own agent