Skills
There is no official June skill yet. You don't need one to give an agent accurate June context: use the MCP server when your client supports it, or llms.txt and the Markdown docs otherwise.
What a skill would add
The docs say what June does, and the MCP server lets an agent search and read them as it works. A skill would add the procedure: what to do, in what order, as instructions an agent loads when the task calls for it. It would point into the docs rather than repeat them:
- When to use June. Several model calls that depend on each other, or that mix with your own async code, are June's job; one call or one agent loop is the AI SDK's. What June doesn't do is the boundary.
- How to write a workflow. A file that default exports a component, step ids derived from the data they're about, and
<Parallel>around independent work. Step identity and Parallelism and concurrency have the rules. - What to run to check it.
june doctorfor keys,june run --jsonfor output a script can read, and tests with a mock model fromai/test, so they need no key or network. See CLI and Testing. - Where to look things up. The MCP server's
search_docsandget_doc, orllms.txt.
When a June skill ships, this page will say how to install and use it.
Next
- MCP server: connect a client.
- Quickstart: the same procedure, for people.