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cli-anything-dify-workflow

Manage and validate Dify workflows via command-line operations.

46.8k|4.4k|Updated Mar 8, 2026
Search Tags:#automation#workflow#cli#json#yaml#dify
One-click install
npx skills add https://github.com/HKUDS/CLI-Anything --skill cli-anything-dify-workflow-hkuds
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cli-anything-dify-workflow
Source: https://github.com/HKUDS/CLI-Anything/tree/main/dify-workflow/agent-harness/cli_anything/dify_workflow/skills
Command: npx skills add https://github.com/HKUDS/CLI-Anything --skill cli-anything-dify-workflow-hkuds

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides an easy way to create, inspect, validate, and manage Dify workflow files through a command-line interface, simplifying workflow automation.

Core Features & Use Cases

  • Workflow Management: Create, review, and validate Dify workflows with minimal effort.
  • Command Execution: Run commands such as guiding, listing node types, editing, and exporting workflows directly from CLI.
  • Use Case: Automate the setup and validation of complex AI workflows in a developer’s local environment, reducing manual editing time.

Quick Start

Use the CLI to create a new workflow, inspect its components, and validate correctness with simple commands.

Frequently Asked Questions about cli-anything-dify-workflow

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

FAQPage Schema
How do I validate Dify workflow files via the command line?▼

Yes, you can manage Dify workflows in CLI by running commands to create, inspect, and edit workflow files. This Skill simplifies workflow automation by allowing developers to execute these operations directly from the terminal.

Does this CLI tool support both YAML and JSON formats for Dify workflows?▼

Yes, this CLI tool supports both YAML and JSON formats for Dify workflows. It reliably handles and validates these file types, ensuring compatibility with upstream CLI tools when integrating AI workflows into automation pipelines.

What is the best way to automate Dify workflow creation locally?▼

The best way to automate Dify workflow creation locally is using a CLI Skill to generate, edit, and validate workflow files. This reduces manual editing time and streamlines the setup of complex AI workflows in a developer's environment.

Can I list and inspect Dify workflow node types from the terminal?▼

Yes, you can list and inspect Dify workflow node types from the terminal. This Skill provides command execution features that allow you to review workflow components and guide the structure of your automation pipelines directly.

Why should I use a command line interface for Dify workflow management?▼

You should use a command line interface for Dify workflow management to minimize manual editing time and ensure reliable validation. It facilitates seamless integration of complex AI workflows into existing automation pipelines for developers.

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