What is the pydoover Python library?

pydoover is the official framework for building applications on the Doover platform, providing tools for hardware interaction, cloud connectivity, and UI management.

How does this skill handle hardware I/O?

It provides precise API patterns for reading and writing digital and analog pins, as well as managing high-speed pulse counters for flow meters and sensors.

Can I use this skill for Modbus communication?

Yes, the skill includes full documentation for reading and writing coils, discrete inputs, holding registers, and input registers via Modbus RTU or TCP.

Does pydoover support cloud data synchronization?

Yes, it uses a system of tags and the Device Agent interface to persist state and sync data between local hardware and the Doover cloud in real-time.

Doover Python SDK (pydoover)

Name: Doover Python SDK (pydoover)
Author: getdoover

bygetdoover

0•

Cloud Infrastructure

Develops industrial IoT and automation applications using the pydoover Python library for the Doover platform.

The pydoover skill equips Claude with the deep technical knowledge required to build, debug, and optimize applications on the Doover platform. It provides a standardized framework for handling the full application lifecycle, from hardware I/O interfacing (Digital, Analog, and Modbus) to cloud-synced state management using tags. By utilizing this skill, developers can efficiently implement complex industrial logic, create structured configuration schemas, and design real-time UI components for remote monitoring and control, ensuring all code follows Doover's production-grade patterns.

Key Features

01Hardware I/O control for digital inputs/outputs, analog signals, and pulse counters

02Application lifecycle management with setup and main-loop execution patterns

03Comprehensive Modbus RTU/TCP support for industrial device communication

04Real-time UI component library for creating cloud-synced dashboards and user parameters

05Structured configuration schema definition with built-in validation for IoT deployments

060 GitHub stars

Use Cases

01Developing industrial controller logic for equipment monitoring and automated responses

02Creating custom sensor aggregators that publish data to the Doover cloud via the Device Agent

03Implementing Modbus-based integration layers for interfacing with PLCs and external hardware

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add getdoover/doover-skills pydoover

For use in Claude.ai and ChatGPT

Download Skill