Is there a structured workflow for development?

Absolutely. The skill follows a 6-phase SOP including initialization, implementation, testing, and version-controlled releases.

Does this skill support Python development?

Yes, it is specifically designed for the Dify Python SDK and handles YAML configurations for plugin metadata.

What types of Dify plugins can I build with this skill?

You can build Tools, Triggers, Extensions, AI Model providers, Datasources, and custom Agent Reasoning Strategies.

How do I handle debugging for my Dify plugins?

The skill provides specialized guidance for both local testing and remote debugging using the Dify debugging tools.

Can Claude help me package and deploy the plugin?

Yes, the skill includes specific commands and workflows for packaging plugins into .difypkg files and installing them via the Dify API.

Dify Plugin Builder

Name: Dify Plugin Builder
Author: Petrus-Han

byPetrus-Han

API Development

Builds and deploys custom Dify plugins including tools, triggers, and AI model providers using a structured development workflow.

About

This skill empowers Claude to assist developers in creating, testing, and deploying custom extensions for the Dify.ai platform. It provides a comprehensive framework for building diverse plugin types—such as external API integrations, custom agent reasoning strategies, and new model providers—by leveraging the Dify Python SDK and YAML-based configurations. From initial requirement analysis to final packaging and GitHub release, the skill guides the entire development lifecycle, ensuring adherence to best practices and standard project structures.

Key Features

Includes built-in troubleshooting and remote debugging guidance
0 GitHub stars
Provides a 6-phase development SOP from requirements to release
Automates project initialization and plugin packaging logic
Supports all Dify plugin types including Tools, Triggers, and Agent Strategies
Standardizes YAML metadata and Python SDK implementation patterns

Use Cases

Developing custom Agent Reasoning Strategies to improve LLM decision-making
Connecting specialized data sources and model providers to the Dify ecosystem
Integrating proprietary internal APIs as custom Tools within Dify workflows

About

Key Features

Includes built-in troubleshooting and remote debugging guidance
0 GitHub stars
Provides a 6-phase development SOP from requirements to release
Automates project initialization and plugin packaging logic
Supports all Dify plugin types including Tools, Triggers, and Agent Strategies
Standardizes YAML metadata and Python SDK implementation patterns

Use Cases

Developing custom Agent Reasoning Strategies to improve LLM decision-making
Connecting specialized data sources and model providers to the Dify ecosystem
Integrating proprietary internal APIs as custom Tools within Dify workflows