google/lightflow
Lightweight, local-first Python DAG workflow compiler and execution engine with human-in-the-loop checkpoints for CLI and AI-agent workflows.
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Apache-2.0
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Skills
- create_lightflows1 warningGuides the design, authoring, compilation, and verification of new Python DAG workflows using Lightflow (YAML, JSON, or Textproto). Use when building a new multi-stage pipeline, authoring `actions.py` and `lightflow.yaml`, or scaffolding a workflow with the `create_lightflow` meta-workflow. For merely running or resuming an existing workflow, use `run_lightflows` instead.Apache-2.0
- run_lightflows1 warningExecutes, inspects, and resumes existing Lightflow DAG workflows via CLI (`lightflow`, or the equivalent `python3 -m lightflow`) or MCP (`lightflow-mcp`). Use when asked to run, dry-run, check status, visualize, resolve an `operator_action` human-in-the-loop checkpoint (`EXIT_CODE=2`), or recover a failed Lightflow run without authoring a new workflow. Run `start` directly without pre-reading the manifest or `actions.py`.Apache-2.0