doover-cloud-apps

Name: doover-cloud-apps
Availability: InStock
Author: getdoover

Build serverless Doover processors and integrations with Python deployment zips.

Updated Feb 2, 2026

Search Tags:#deployment #serverless #integration #cloud #lambda #processor #Doover

Ready to run

npx skills add https://github.com/getdoover/doover-skills --skill doover-cloud-apps

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: doover-cloud-apps
Source: https://github.com/getdoover/doover-skills/tree/main/skills/doover-cloud-apps
Command: npx skills add https://github.com/getdoover/doover-skills --skill doover-cloud-apps

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables building cloud-based Doover processors and integrations that run serverless and respond to events.

Core Features & Use Cases

Processor: Cloud logic for devices that runs in the cloud and reacts to channel messages or schedules.
Integration: External data ingestion through HTTP endpoints or scheduled tasks.
Guidance: End-to-end patterns for packaging and deploy to the Doover platform within an organization.

Quick Start

Create a new cloud app project, implement handlers like on_message_create or on_ingestion_endpoint, then package into a deployment zip and deploy to Doover.

Frequently Asked Questions about doover-cloud-apps

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build serverless cloud processors that respond to channel messages?▼

Cloud processors run serverless logic in response to channel messages or schedules. Implement event handlers like on_message_create in Python, package your code into a deployment zip with a doover_config.json, then deploy to Doover. The platform manages scaling and execution automatically.

Can I set up HTTP endpoints to ingest external data on a schedule?▼

Yes. Integration apps receive data through HTTP endpoints or scheduled triggers. Implement on_ingestion_endpoint handlers in Python, configure triggers in doover_config.json, package into a deployment zip, and deploy. Doover handles routing and scheduling across your organization.

What do I need to deploy a cloud app to Doover?▼

You need Python runtime tooling, a packaging script to create a deployment zip, and a doover_config.json file to configure your app's handlers and triggers. The Skill provides end-to-end patterns for packaging and deployment within your Doover organization.

How do processor apps and integration apps differ?▼

Processor apps contain cloud logic for devices and react to channel messages or schedules. Integration apps ingest external data via HTTP endpoints or scheduled tasks. Both run serverless and use the same Python handler pattern and deployment workflow.

Do I need to manage infrastructure for serverless Doover apps?▼

No. Doover handles all infrastructure and scaling. You write Python handlers, configure triggers in doover_config.json, and package your code. The platform manages execution, scaling, and event routing automatically.

Can I trigger cloud apps on a schedule?▼

Yes. Both processor and integration apps support scheduled triggers. Define schedule configurations in doover_config.json, implement the corresponding handler, package the app, and deploy. Doover executes handlers on your specified schedule.