Dify Workflow CLI

Create, edit, and validate Dify workflow DSL YAML from the command line

Por Akabane71 · Akabane71/dify-workflow-cli

Funciona con configuración ★ 8.8/10

Dify Workflow CLI — Create, edit, and validate Dify workflow DSL YAML from the command line

Qué hace

Wraps a Python CLI (dify-workflow) that creates, edits, validates, auto-layouts, and exports Dify AI workflow DSL files across all 5 app modes and 22 node types. Triggers when the user wants to build a Dify workflow/chatflow/agent, wire nodes and edges, or debug why a Dify import shows disconnected nodes or checklist errors.

Informe de la prueba

Ran the real CLI end to end (create, validate, checklist, layout, mermaid export) and it produced a schema-valid Dify DSL on the first try; a hand-written baseline DSL failed the same validator with 3 missing-field errors. Caveat: the Python package (pyproject.toml, dify_workflow/) lives at the repo root, not inside skills/dify-workflow/, so the documented cp -r single-folder copy leaves `dify-workflow` uninstalled — you must clone the whole repo and `pip install -e .` from the root, then separately copy the skill folder.

Probado el: 2026-07-15 · Claude Code 2.x (agent harness)

Instalación

git clone https://github.com/Akabane71/dify-workflow-cli
mkdir -p ~/.claude/skills
cp -r dify-workflow-cli/skills/dify-workflow ~/.claude/skills/dify-workflow

Comandos y prompts de ejemplo

/dify-workflowCreate, edit, and validate Dify workflow DSL YAML from the command line

Los skills se activan con peticiones en lenguaje natural, sin comandos que memorizar. Tras instalarlo, prompts como estos lo activan (en inglés):

Create a Dify chatflow with an LLM node and a knowledge retrieval node
Validate this Dify workflow YAML, the import shows disconnected nodes
Add a question classifier node to my Dify workflow and wire the branches

Informe completo →