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Dify Workflow Skills

Checked
mango-svip·vlatest·agents

Automates complex tasks by orchestrating diverse AI models into custom, reusable workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add mango-svip/dify-workflow-skills --skill dify-workflow-skills -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

mango-svip

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 mango-svip/dify-workflow-skills at 0b9cbd8e0d.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
0b9cbd8e0d
Manifest
SKILL.md
Scanned
10 files, 3,559 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The dify-workflow-skills package enables AI agents to discover, install, and execute modular workflows defined within the Dify platform. It acts as a bridge allowing agents to leverage pre-built logic chains for complex tasks without rewriting underlying code.

When to use it

  • You need to extend an agent's functionality by integrating specific business logic hosted on Dify.
  • Your application requires dynamic loading of workflows based on user requests or context.
  • You want to standardize how agents interact with external orchestration engines via a unified skill interface.
  • You are building a multi-agent system where different agents need to trigger shared workflow definitions.

Key capabilities

  • Discovery and retrieval of available Dify workflow definitions.
  • Installation mechanisms for new workflow modules into the agent environment.
  • Execution triggers that pass parameters from the agent to the Dify workflow engine.
  • Modular architecture supporting independent workflow management.

Example prompts

  • "Install the 'data-analysis' workflow and run it on this CSV dataset."
  • "Execute the customer-support-routing workflow with the user's ticket ID as input."
  • "List all available workflow skills in the Dify registry and summarize their purposes."

Tips & gotchas

Ensure your AI agent has valid network access to the Dify API endpoints, as installation and execution depend on external connectivity. Verify that input parameters match the expected schema of the target workflow to prevent runtime failures.