What version of Python is used for these cloud apps?

The current standardized runtime for Doover cloud processors and integrations is Python 3.13, ensuring access to modern language features and performance.

What is the difference between a Processor and an Integration in Doover?

Processors handle cloud logic triggered by specific device channels or schedules, while Integrations are designed for organization-wide external data ingestion via HTTP endpoints.

Can I maintain state between invocations in a Doover cloud app?

Yes. Since cloud apps are serverless and stateless by nature, you should use the built-in Tags system or publish to channels for persistent state management across different triggers.

Does this skill support local hardware access?

No, this skill is specifically for cloud-based apps. For hardware access like GPIO or Modbus, you should use the doover-device-apps skill to build applications that run on the physical device.

How are Doover cloud apps deployed?

They are deployed as zip packages containing the source code and cross-platform dependencies, optimized for the Lambda runtime, typically managed via a provided build.sh script.

Doover Cloud App Development

Name: Doover Cloud App Development
Author: getdoover

bygetdoover

0•

Cloud Infrastructure

Provides a comprehensive guide and implementation patterns for building serverless Doover processors and integrations.

This skill empowers developers to build sophisticated cloud-based applications within the Doover ecosystem, focusing on serverless logic and external connectivity. It specializes in two core components: Processors, which handle device-specific cloud logic and real-time event responses, and Integrations, which facilitate external data ingestion via HTTP endpoints. By providing standardized project structures, event handler templates, and deployment scripts, this skill ensures that cloud apps are built following serverless best practices, including robust state management through Tags and efficient UI remote updates for connected devices.

Key Features

010 GitHub stars

02Pre-defined event handlers for message creation, scheduled tasks, and HTTP ingestion

03Automated build and deployment scripts optimized for serverless Lambda runtimes

04Standardized project templates for Processors (PRO) and Integrations (INT)

05Remote UI management capabilities for updating device dashboards directly from the cloud

06Built-in state management using Tags for persistent data across serverless invocations

Use Cases

01Implementing scheduled maintenance tasks or periodic data cleanup for IoT ecosystems

02Building integrations to ingest data from third-party APIs and external webhooks into Doover

03Developing cloud-based logic to process real-time sensor data from connected devices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add getdoover/doover-skills doover-cloud-apps

For use in Claude.ai and ChatGPT

Download Skill