Dify Dsl Generator
CheckedGenerates custom DSL code snippets based on your descriptions, streamlining development and reducing boilerplate for repetitive tasks.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add wwwzhouhui/skills_collection --skill dify-dsl-generator -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
wwwzhouhui
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned wwwzhouhui/skills_collection at 276b1f1fbd.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 276b1f1fbd
- Manifest
- dify-dsl-generator/SKILL.md
- Scanned
- 5 files, 1,825 lines
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.