Docker Skills, Part 5: Configuring, Running, and Deploying Docker Agent
An agent that only describes a plan instead of executing it isn’t a model problem. It’s usually missing the one tool it needs to act, and the fix is a single line in agent.yaml: type: shell or type: todo. That’s the kind of symptom Docker Agent is built to catch. Docker Agent (the CLI is docker agent, built on the open-source cagent engine) lets you define an AI agent, its model, its instructions, the tools it can call, optionally a whole team of sub-agents delegating to each other, in a single YAML file instead of application code, then run, serve, or publish that file the same way you’d run, serve, or publish a container image. See the Docker Agent documentation for the full product picture. docker-agent-config, docker-agent-run, and docker-agent-deploy, the three skills this post covers, take that file from authoring through production. ...