Generate MaaFramework Pipeline nodes and recognition snippets from screenshots or observed UI state. Use for OCR node generation, ROI sweep, choosing TemplateMatch/OCR/ColorMatch/CustomRecognition, preserving target-file schema style, and designing `next`/`[JumpBack]` links before merging generated nodes into pipeline JSON.
生成 MaaFramework Pipeline 项目的可交互状态机图谱。当用户想"看 Pipeline 节点关系"、"画状态机图"、"画 Mermaid 图"、"看 node 间关系"、"找孤立节点 / orphan node"、"看 Python 怎么驱动 Pipeline"、"看 interface.json 入口"、"调试跨文件 next 引用"、"重构前理清架构" 时使用。**任何涉及 MaaFramework 节点关系可视化的需求都用这个 skill**,即便用户没明确说"画图"。
Universal Pipeline JSON 编写指南。基于 MaaFramework Pipeline 协议，提供节点命名、识别算法、动作类型、流程控制、可复用节点等编码规范与模式参考。在编写、修改或审查 Pipeline JSON、设计节点流程、使用 TemplateMatch/OCR/Custom 识别或 Click/Swipe 动作时使用。
Audit a MaaFramework/Maa-series project's Git history to learn how Pipeline JSON, interface options, Python AgentServer CustomAction code, and related data tables evolved. Use when asked to review a Maa project from initial commit through a target commit, map `action: Custom` pipeline nodes to `@AgentServer.custom_action(...)` implementations, find pipeline/custom/option patterns or breakages, and produce a report plus skill-improvement recommendations.
Add runtime UI options (select/checkbox/switch/input) to MaaFramework option surfaces such as `assets/interface.json` or `assets/resource/tasks/**/*.json`. Use when adding a user-facing toggle, selector, checkbox, or input; wiring options to `pipeline_override`; aligning option paths with Python `context.get_node_data()` or CustomAction params; or reviewing option behavior across Pipeline JSON and Python.
Test and validate MaaFramework Pipeline JSON, recognition nodes, action nodes, CustomAction/CustomRecognition wiring, resource loading, and end-to-end task behavior. Use when running `run_pipeline`, checking OCR/TemplateMatch/ColorMatch ROI, validating `context.run_task()` results, auditing `action: Custom` or `recognition: Custom` registrations, or choosing the right resource-check command.