What types of apps can I build with this skill?

You can build Device Apps for hardware access, Processors for cloud-based data processing, and Integrations for receiving webhooks or pushing data to external services.

How do I initialize a new Doover project?

For device apps, use the command 'doover app create'. For processors or integrations, use the 'getdoover/app-template' via the GitHub CLI.

How does this skill handle application configuration?

It uses a Python-based schema defined in app_config.py which can be exported to a standardized doover_config.json file compatible with the Doover platform.

Can I build user interfaces with this workflow?

Yes, it includes patterns for building UI components (variables, actions, and status indicators) using the pydoover UI library specifically for device applications.

How are apps deployed to the Doover platform?

The workflow guides you through using 'doover app publish' which handles image creation, registry pushing, and registration on the Doover admin panel.

Doover App Development Workflow

Name: Doover App Development Workflow
Author: getdoover

bygetdoover

0•

Deployment & DevOps

Guides developers through the end-to-end process of creating, configuring, and publishing Doover applications.

The Doover App Development Workflow skill provides a standardized framework for building specialized applications on the Doover platform. It automates the initial setup using the Doover CLI and GitHub templates, offers structured patterns for defining configuration schemas and UI components, and simplifies the deployment process for device apps, processors, and integrations. By following this guided workflow, developers can ensure their projects adhere to best practices for state management, dependency handling, and platform compatibility.

Key Features

01Automated project scaffolding via Doover CLI and GitHub templates

02Streamlined publishing workflows for cloud and device deployments

03Comprehensive research tools for searching existing apps and patterns

040 GitHub stars

05Standardized configuration schema management using pydoover

06Pre-defined UI component patterns for device applications

Use Cases

01Building hardware-aware device applications for IoT edge computing

02Developing cloud-based processors to react to real-time device data

03Creating third-party integrations to sync Doover data with external APIs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add getdoover/doover-skills doover-app-workflow

For use in Claude.ai and ChatGPT

Download Skill