Generate interactive state machine diagrams for MaaFramework Pipeline projects.
npx skills add https://github.com/KhazixW2/MaaGumballs --skill pipeline-graph
Please help me install this Agent Skill. Skill: pipeline-graph Source: https://github.com/KhazixW2/MaaGumballs/tree/main/.claude/skills/pipeline-graph Command: npx skills add https://github.com/KhazixW2/MaaGumballs --skill pipeline-graph
This Skill helps users visualize the relationships within MaaFramework Pipeline projects, providing an interactive state machine graph for better understanding and debugging.
Run the pipeline-graph skill to generate the state machine graph for your Pipeline project.
High-intent search queries and answers about installing and using this skill.
To visualize MaaFramework pipeline node relationships, you can generate an interactive state machine diagram that maps node connections, Python calls, and utility references for easier debugging and architecture analysis.
The best way to debug orphan nodes in a MaaFramework Pipeline project is to generate a graphical state machine representation, which visually highlights disconnected nodes and clarifies the overall structural flow.
Yes, you need both Python and Mermaid installed in your environment, as they are required dependencies for parsing the pipeline data and rendering the interactive state machine diagrams.
Yes, you can see Python calls and utility node references in the pipeline graph, because the visualization explicitly maps these elements alongside the standard node relationships within the state machine.
You should use a state machine diagram for your MaaFramework project when you need to quickly understand the overall architecture, debug complex node relationships, or plan for a structural refactoring.
Yes, visualizing MaaFramework pipelines works for large projects by generating an interactive graph that tracks utility node references and complex dependencies, helping you manage scale and prevent architectural errors.
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