
Developed and delivered automation and strategy features for the MaaAssistantArknights repository, focusing on the Sarkaz roguelike mode. Over two months, implemented autopilot strategies and deployment plans for multiple challenging stages, including “Laborious Morning,” “机动队,” “溃乱魔典,” and “盲盒广场.” Leveraged configuration management and game strategy design to standardize tactical approaches, enabling scalable and efficient stage clears while reducing manual intervention. Utilized JSON for defining deployment logic and operator positioning, ensuring maintainable and adaptable solutions. The work emphasized performance optimization, thorough documentation, and test coverage, providing a robust automation foundation for future content and improving player onboarding and engagement.
July 2025 performance summary: Delivered strategic configurations for Sarkaz roguelike mode to standardize tactically optimized play across three stages, enabling faster adaptation and improved gameplay performance. Implemented deployment plans and initial home replacements to support quick rollout and stable execution in live scenarios. Focused on delivering business value through pre-defined tactical approaches that reduce on-boarding time for new content and enhance player engagement.
July 2025 performance summary: Delivered strategic configurations for Sarkaz roguelike mode to standardize tactically optimized play across three stages, enabling faster adaptation and improved gameplay performance. Implemented deployment plans and initial home replacements to support quick rollout and stable execution in live scenarios. Focused on delivering business value through pre-defined tactical approaches that reduce on-boarding time for new content and enhance player engagement.
Month: 2025-05 — Delivered autopilot strategy for the Sarkaz Roguelike "Laborious Morning" stage in MaaAssistantArknights, introducing automated deployment plans and operator positioning to optimize stage clears. The work provides a scalable automation foundation for challenging stages and reduces manual instruction requirements. No major bugs reported this month; tuning and documentation accompanied feature work. Commit reference: perf: 添加萨卡兹肉鸽劳作的清晨关卡策略 (#12626).
Month: 2025-05 — Delivered autopilot strategy for the Sarkaz Roguelike "Laborious Morning" stage in MaaAssistantArknights, introducing automated deployment plans and operator positioning to optimize stage clears. The work provides a scalable automation foundation for challenging stages and reduces manual instruction requirements. No major bugs reported this month; tuning and documentation accompanied feature work. Commit reference: perf: 添加萨卡兹肉鸽劳作的清晨关卡策略 (#12626).

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