Deploy local workflows, skills, or scripts to Modal as HTTP endpoints.
npx skills add https://github.com/ezjonline/ezj-automations --skill modal-deploy-ezjonline
Please help me install this Agent Skill. Skill: modal-deploy Source: https://github.com/ezjonline/ezj-automations/tree/main/skills/modal-deploy Command: npx skills add https://github.com/ezjonline/ezj-automations --skill modal-deploy-ezjonline
This Skill removes the friction of turning a local workflow, skill, or script into a persistent Modal endpoint, so you can expose automation over HTTP without building deployment glue by hand.
Tell the skill to push your chosen workflow, skill, or script to Modal and it will prepare the deployable endpoint and testing instructions.
High-intent search queries and answers about installing and using this skill.
To deploy a FastAPI workflow to Modal, this Skill packages your local script into a Modal app with a JSON-returning POST endpoint. It reads your dependencies and translates the logic into deployable Python code for remote HTTP invocation.
Converting a local Python script into a serverless HTTP endpoint requires packaging the logic with its dependencies. This Skill automates that by translating the script into a Modal app and exposing it as a persistent POST endpoint ready for production use.
You need Modal-managed secrets to deploy an automation script securely. This Skill guides you through operational setup including Modal secret creation, so your deployed endpoint can securely access required runtime dependencies.
You can expose a local prompt-driven automation over HTTP without writing deployment glue. This Skill removes the friction by automatically identifying dependencies and packaging your target skill into a callable Modal web service.
Script conversion to a Modal app handles Python runtime dependencies by reading the existing script and identifying required packages. It then translates these dependencies into deployable Python code for the Modal serverless environment.
Limitations of deploying workflows to Modal include requiring Modal CLI access and a Python runtime environment. The deployment process specifically packages logic as a JSON-returning POST endpoint, which may not suit automation requiring other response formats.
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