pipeline-option

Design runtime UI options for MaaFramework pipelines via interface.json and Python context.

59|27|Updated Apr 15, 2025
One-click install
npx skills add https://github.com/KhazixW2/MaaGumballs --skill pipeline-option
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pipeline-option
Source: https://github.com/KhazixW2/MaaGumballs/tree/main/.claude/skills/pipeline-option
Command: npx skills add https://github.com/KhazixW2/MaaGumballs --skill pipeline-option

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides comprehensive guidelines and tools for creating and integrating runtime UI options into MaaFramework pipelines, ensuring seamless user interaction and functionality.

Core Features & Use Cases

  • Option Creation: Detailed instructions on creating various types of options like 'select', 'checkbox', 'input', and 'switch'.
  • Pipeline Integration: Step-by-step guidance on how to integrate these options with the pipeline for behavior changes.
  • Use Case: A user looking to add customizable features to their MaaFramework pipeline can follow this Skill to define and implement new UI options.

Quick Start

Run the skill to learn how to add a 'switch' option that toggles a game feature in MaaFramework.

Frequently Asked Questions about pipeline-option

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add runtime UI options to a MaaFramework pipeline?

You add runtime UI options by customizing the interface.json file to define elements like select, checkbox, input, and switch, then applying pipeline node overrides to toggle specific behaviors during execution.

What types of UI controls can I create for MaaFramework runtime customization?

MaaFramework runtime customization supports creating select, checkbox, input, and switch UI controls. These options allow users to toggle features and modify pipeline behaviors dynamically through the interface.

How do I use Python context to interact with pipeline options in MaaFramework?

You use Python context interactions to manage feature toggling within the MaaFramework pipeline. This allows your Python scripts to dynamically read and apply runtime UI options during task execution.

Do I need prior knowledge of MaaFramework architecture to integrate pipeline UI options?

Yes, integrating pipeline UI options requires knowledge of MaaFramework architecture and pipeline design. You need this foundational understanding to effectively implement interface.json customization and node overrides.

Can I override pipeline node behaviors dynamically using interface.json in MaaFramework?

Yes, you can override pipeline node behaviors dynamically by defining options in interface.json. This approach links user-selected runtime UI controls directly to specific pipeline node execution paths.