18 Lessons to Get Started Building AI Agents
AI Agents for Beginners is a course that teaches the fundamentals of building AI agents through a sequence of lessons. People learning generative AI and agent development use it to study topics and frameworks including AutoGen and Semantic Kernel. The catalogue entries provide skills, instructions, and an agent related to the course.
9 files for Claude Code, Codex, OpenCode and GitHub Copilot: azure-openai-to-responses, deploying-scalable-agents, jupyter-notebook, local-ai-agents and 5 more — 2,487 tokens loaded in every session.
AGENTS.md A 2,487 tok .agents/skills/azure-openai-to-responses/SKILL.md A 185 tok .agents/skills/deploying-scalable-agents/SKILL.md A 197 tok .agents/skills/jupyter-notebook/SKILL.md A 57 tok .agents/skills/local-ai-agents/SKILL.md A 200 tok .agents/skills/microsoft-docs/SKILL.md A 61 tok .agents/skills/testing-course-samples/SKILL.md A 86 tok .github/prompts/git-cherrypicking.prompt.md A 16 tok .github/agents/dotnet-notebook-migration.agent.md A 33 tok These files are microsoft/ai-agents-for-beginners's own configuration — they tell Claude Code, Codex, OpenCode and GitHub Copilot how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.