Hello Worldv1.0.0

A developer installs the hello-world OpenClaw plugin and needs a fast way to confirm it loaded correctly. They ask the agent to say hello, and the agent invokes the hello tool, returning the default greeting as proof the plugin is active.

A reception kiosk or chat assistant greets visitors by name when they check in. The agent detects the provided name and passes it as the name parameter, returning a personalized hello to make the interaction feel welcoming.

An instructor teaching agent architecture demonstrates how natural language maps to tool invocation. Students say 'hi' and observe the agent calling the hello tool, showing the full loop from user intent to registered tool output.

A QA engineer adds an automated check that the conversational agent responds to a simple 'hello' after each deployment. The skill triggers the hello tool and asserts a non-empty text response, catching broken plugin registration early.

A new team member follows documentation that uses hello-world as the first skill to learn. They test greetings with and without a name to understand parameter passing, defaults, and direct output return behavior.

The hello-world plugin is published freely as a reference implementation alongside the OpenClaw runtime. It drives adoption of the platform by giving developers a working, minimal example to fork and extend.

The minimal skill is used as the first lesson in paid courses and certification programs teaching agent skill development. Learners practice tool registration and parameter handling before moving to complex skills.

A hosted service bundles sample skills like hello-world so customers can instantly test connectivity and tool calling. It reduces onboarding friction and upsells users into higher-tier agent automation plans.