dsl-generate

Generate and validate Dify Workflow DSL YAML files from scenario documents.

Updated Feb 9, 2026
One-click install
npx skills add https://github.com/unicorn-plugins/abra --skill dsl-generate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dsl-generate
Source: https://github.com/unicorn-plugins/abra/tree/main/skills/dsl-generate
Command: npx skills add https://github.com/unicorn-plugins/abra --skill dsl-generate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the end-to-end generation of a Dify Workflow DSL YAML from scenario documents, reducing manual drafting, errors, and time-to-value.

Core Features & Use Cases

  • Generate a valid DSL YAML from a chosen scenario with structural validation.
  • Run a pre-run validation loop to identify and auto-correct common DSL issues, improving prototyping speed.
  • Provide a DSL guide and workflow documentation to support developers building AI Agents and workflows with Dify.

Quick Start

Invoke the DSL generation workflow with your scenario document to produce and validate a DSL YAML file.

Frequently Asked Questions about dsl-generate

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

FAQPage Schema
How do I generate Dify DSL YAML from a scenario document?

To generate Dify DSL YAML from a scenario document, you provide the scenario as input to trigger an automated workflow that outputs a structured DSL YAML file. This reduces manual drafting and accelerates workflow prototyping.

Why does my Dify workflow DSL YAML fail validation?

Dify workflow DSL YAML validation often fails due to structural errors or misconfigurations in the scenario mapping. Running a pre-run validation loop identifies and auto-corrects common DSL issues before execution.

Can I automate Dify workflow prototyping with AI agents?

You can automate Dify workflow prototyping for AI agents by generating DSL YAML directly from scenario documents. This enables rapid DSL provisioning and structured end-to-end output without manual coding.

What is a pre-run validation loop for DSL YAML generation?

A pre-run validation loop for DSL YAML generation is an automated checking process that scans the Dify workflow file for common structural issues and auto-corrects them. It improves prototyping speed and ensures valid output.

Do I need a formal DSL guide to build workflows in Dify?

Building workflows in Dify does not strictly require a pre-existing guide, but having a formal DSL guide provides developer documentation that clarifies structured output requirements and supports AI agent construction.