Create, inspect, edit, and validate Dify workflow definition files from the command line. This wrapper provides access to node and connection edits, model and prompt settings, file comparisons, and import or export through the upstream CLI.
Wrapper for the Dify workflow DSL CLI. Create, inspect, validate, edit, and export Dify workflow files through a CLI-Anything harness.
Review the instructions the agent will receive before you install.
Install the upstream Dify workflow CLI first:
python -m pip install "dify-ai-workflow-tools @ git+https://github.com/Akabane71/dify-workflow-cli.git@main"
Then install the CLI-Anything harness:
pip install git+https://github.com/HKUDS/CLI-Anything.git#subdirectory=dify-workflow/agent-harness
The harness forwards to the upstream dify-workflow CLI.
cli-anything-dify-workflow guide
cli-anything-dify-workflow list-node-types
cli-anything-dify-workflow create -o workflow.yaml --mode workflow --template llm
cli-anything-dify-workflow inspect workflow.yaml -j
cli-anything-dify-workflow validate workflow.yaml -j
cli-anything-dify-workflow edit add-node -f workflow.yaml --type code --title "Process"
cli-anything-dify-workflow config set-model -f app.yaml --provider openai --name gpt-4o
guidelist-node-typescreateinspectvalidatechecklistedit add-node|remove-node|update-node|add-edge|remove-edge|set-titleconfig set-model|set-prompt|add-variable|set-opening|add-question|add-tool|remove-toolexportimportdifflayout-j / --json-output on upstream commands when available.dify-workflow is not on PATH but the dify_workflow Python package is installed, the wrapper falls back to python -m dify_workflow.cli.No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Build and improve Python command interfaces for GUI applications with OpenClaw. The skill guides source analysis, command design, testing, and packaging, including interactive sessions and structured JSON output for agents.
Use Reasonix to build or improve a Python command-line interface for existing software. The workflow covers source analysis, interactive commands, JSON output, tests, documentation, and installation checks using the software’s own backend where possible.
Use Codex to build Python command-line tools for applications with graphical interfaces. Analyze source code, add commands, test against the actual software, validate packaging and documentation, and discover tools already generated or installed.
Inspect and edit 3MF files for 3D printing. Detect cylindrical holes, change their diameters, repair mesh issues, and compare files while preserving BambuStudio and PrusaSlicer metadata when repacking the edited file.
Manage AdGuard Home network filtering from the command line. Update blocklists, register devices, configure DNS rules that map names to addresses, and inspect query logs and statistics through the AdGuard Home REST API.
Generate slides, documents, websites, and diagrams from natural language prompts through AnyGen OpenAPI. Manage reference uploads, check generation progress, and download finished files using commands with structured output for AI agents.