using-model-endpoint
byjimliu· 68 skills
Call a registered model endpoint over its native HTTP API from the endpoint's scoped inference kernel (BASE_URL preloaded). Load once a task needs predictions from a registered model endpoint.
How to install using-model-endpoint?
jimliu/science-skills/using-model-endpoint
$npx -y skills add jimliu/science-skills --skill using-model-endpointInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/jimliu/science-skills" --skill "jimliu/science-skills/using-model-endpoint"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jimliu/science-skills" that are relevant to the current task. Run `npx skills add "https://github.com/jimliu/science-skills"` and select the relevant skills, then follow their instructions.
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