Generator economic dispatch and cost optimization for power systems. Use when minimizing generation costs, computing optimal generator setpoints, calculating operating margins, or working with generator cost functions.
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agentscope-ai/PawBench☆ 122Updated Aug 3, 2026
Extract locational marginal prices (LMPs) from DC-OPF solutions using dual values. Use when computing nodal electricity prices, reserve clearing prices, or performing price impact analysis.
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agentscope-ai/PawBench☆ 122Updated Aug 3, 2026
Use this skill when reading or writing YAML configuration files, loading vehicle parameters, or handling config file parsing with proper error handling.
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agentscope-ai/PawBench☆ 122Updated Aug 3, 2026
DC power flow analysis for power systems. Use when computing power flows using DC approximation, building susceptance matrices, calculating line flows and loading percentages, or performing sensitivity analysis on transmission networks.
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agentscope-ai/PawBench☆ 122Updated Aug 3, 2026
Implement safety interlocks and protective mechanisms to prevent equipment damage and ensure safe control system operation.
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agentscope-ai/PawBench☆ 122Updated Aug 3, 2026
使用 harness 虚拟文件系统(workspace)来组织多步骤工作;用读写文件代替把所有内容塞进聊天。
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
仅计划模式——在 `plans/` 下编写可执行的 markdown 计划,不执行。 当用户输入 /plan 或明确要求计划而非实现时触发。
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
通过 macOS 上的 FindMy.app 追踪 Apple 设备/AirTag。
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
ASCII 艺术:pyfiglet、cowsay、boxes、图像转 ASCII。
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
手绘 Excalidraw JSON 图表(架构图、流程图、序列图)。
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
按系统提示中的记忆规则保存和召回长期知识。
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
Track Apple devices/AirTags via FindMy.app on macOS.
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
通过 remindctl 在 macOS 上管理 Apple Reminders——列出、添加、编辑、完成、 删除同步到 iPhone/iPad 的待办事项。在提及"提醒"、"Reminders app"、 需要手机同步的"提醒我"或添加带截止日期的个人待办事项时触发。macOS only。 当用户需要代理内部提醒(使用 memory_store 或外部 调度)或日历事件时跳过。
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
暗色主题的 SVG 架构/云/基础设施图表,输出为 HTML。
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
Use the harness virtual filesystem (workspace) to organize multi-step work; read/write files instead of stuffing everything into the chat.
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
Maintain the harness memory files (USER.md, MEMORY.md, AGENTS.md) so that long-term knowledge persists across conversations.
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
创作或改进一个 Skill(包含可执行的、可复用的能力,由 ``SKILL.md`` 加可选的 ``scripts/``、``references/`` 和资产文件组成)。 在以下场景触发此技能: - 用户想把重复的工作流捕获为一个新 Skill - 优化现有 Skill 的提示词、描述或示例 - 收紧触发条件措辞,让模型更可靠地调用该 Skill - 讨论 Skill 格式、frontmatter 或渐进式披露如何工作 不要等用户说"skill-creator"原话——像"把它变成一个 skill"、"我们给这个做个可复用的东西"、 "改进我的 skill" 或 "调整这个 skill 的描述" 这类短语都应该触发此技能。
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TencentCloud/octop-harness☆ 122Updated Oct 26, 2026
当用户作为弱势方面对强势竞争者、感觉"处处被动无法招架"时激活此skill。 典型触发信号:小品牌面对行业巨头挤压、创业公司被大厂复制产品、资源劣势下不知如何竞争。 不调用场景:双方实力相当或我方占优、已拥有明确竞争优势、问题不在竞争层面。 与"十六字诀"skill的区别:本skill解决"弱者如何定义竞争范式"(战略层),后者解决"具体每个时刻做什么"(节奏层)。
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kangarooking/mao-selected-works-skill☆ 122Updated May 2, 2026
当用户的团队执行力出了问题——OKR完不成、计划总变、团队被动等指令——时激活此skill。 典型触发信号:目标定好了但执行走样、计划赶不上变化、团队只做被分配的事不主动思考。 不调用场景:执行良好只需微调、问题在战略层面而非执行层面、单人工作不需要团队执行力框架。 与"战略-战术辩证法"skill的区别:本skill解决"执行力的三个维度如何平衡"(执行层),后者解决"攻守层级的辩证设计"(策略层)。
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kangarooking/mao-selected-works-skill☆ 122Updated May 2, 2026
当用户陷入"分析瘫痪"(想做但不敢行动)或"盲目行动"(做了但不总结不提升)时激活此skill。 典型触发信号:"我需要先做完研究再开始""不知道够不够了解这个行业就创业""我们一直在做但没有方法论"。 不调用场景:已经有成熟方法论且在有效运转的场景、纯理论学习需求。 与"实事求是信息加工法"的区别:本skill关注完整的认知循环(实践-认识-再实践),后者关注单次循环中信息加工的具体技术。
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kangarooking/mao-selected-works-skill☆ 122Updated May 2, 2026
当用户需要根据竞争对手的状态选择自己的行动节奏时激活此skill。 典型触发信号:面对强势对手不知该攻还是守、节奏被对手带跑、被动应对总慢一步。 不调用场景:没有明确对手的蓝海市场、竞争态势稳定不需要节奏调整、用户需要的是战略规划而非行动节奏。 与"不对称战略"skill的区别:本skill解决"此刻该攻还是守"(节奏层),后者解决"用什么范式竞争"(战略层)。
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kangarooking/mao-selected-works-skill☆ 122Updated May 2, 2026
当用户准备套用一个成功方法论(别人的或自己过去的)到新场景时激活此skill。典型触发信号: "某公司用了X方法成功了,我们也该试试""我之前这么做有效,继续做""行业最佳实践是Y"。 不调用场景:用户面对的是同一类问题的重复出现、需要的是执行力而非方法论选择。 与"矛盾分析法"的区别:本skill强调"每个问题性质不同需不同方法",后者强调"找到最重要的那个问题"。
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kangarooking/mao-selected-works-skill☆ 122Updated May 2, 2026
当用户面对大量杂乱信息(用户反馈、竞品数据、市场报告、内部指标)需要从中提取决策信号时激活。 典型触发信号:"数据太多了不知道信哪个""用户说什么的都有""收到了一堆反馈但不知道结论是什么"。 不调用场景:信息已经结构化清晰、只需简单判断;或完全没有信息需要凭直觉决策。 与"调查研究法"的区别:本skill是信息处理(拿到原料后怎么加工),后者是信息采集(怎么拿到好的原料)。
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kangarooking/mao-selected-works-skill☆ 122Updated May 2, 2026