Dify Dsl Generator
Generates custom DSL code snippets based on your descriptions, streamlining development and reducing boilerplate for repetitive tasks.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add dify-dsl-generator npx -- -y @trustedskills/dify-dsl-generator
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"dify-dsl-generator": {
"command": "npx",
"args": [
"-y",
"@trustedskills/dify-dsl-generator"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The dify-dsl-generator skill automates the creation of Dify Application Definition Language (DSL) files, enabling users to programmatically define and configure AI agent workflows without manual interface interaction. It streamlines the setup process by generating structured configuration data required for deploying complex logic within the Dify platform.
When to use it
- Rapidly prototype new agent workflows by converting natural language requirements into executable DSL configurations.
- Automate the deployment of standardized agent templates across multiple environments or teams.
- Integrate custom business logic directly into Dify applications through script-based generation rather than manual node configuration.
- Reduce setup time for repetitive tasks like defining specific input variables, output parsers, or model parameters.
Key capabilities
- Generates valid Dify DSL JSON structures from user-defined parameters.
- Supports dynamic configuration of workflow nodes and connections.
- Facilitates version control and reproducibility of agent definitions via code.
- Eliminates manual GUI navigation for initial application scaffolding.
Example prompts
- "Generate a Dify DSL file for a customer support agent that uses a retrieval-augmented generation (RAG) workflow with a specific knowledge base."
- "Create a DSL configuration for an agent that summarizes meeting transcripts and extracts action items using a predefined LLM model."
- "Produce a Dify application definition for a multi-step data processing pipeline involving file uploads, analysis, and report generation."
Tips & gotchas
Ensure your generated DSL adheres to the current Dify API schema versions, as structural changes may break existing configurations. Validate output syntax before deployment to prevent runtime errors in the agent execution environment.
Tags
TrustedSkills Verification
Unlike other registries that point to live repositories, TrustedSkills pins every skill to a verified commit hash. This protects you from malicious updates — what you install today is exactly what was reviewed and verified.
Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.