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Skills that do not fit the categories above (14.6K skills)

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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/PawBench122Updated Aug 3, 2026

Use this skill when implementing PID control loops for adaptive cruise control, vehicle speed regulation, throttle/brake management, or any feedback control system requiring proportional-integral-derivative control.

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agentscope-ai/PawBench122Updated Aug 3, 2026

Use this skill when simulating vehicle motion, calculating safe following distances, time-to-collision, speed/position updates, or implementing vehicle state machines for cruise control modes.

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agentscope-ai/PawBench122Updated Aug 3, 2026

Selecting MPC prediction horizon and cost matrices for web handling.

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agentscope-ai/PawBench122Updated 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/PawBench122Updated 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/PawBench122Updated Aug 3, 2026

Calculate PI/PID controller gains using Internal Model Control (IMC) tuning rules for first-order systems.

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agentscope-ai/PawBench122Updated Aug 3, 2026

Use this skill when calculating control system performance metrics such as rise time, overshoot percentage, steady-state error, or settling time for evaluating simulation results.

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agentscope-ai/PawBench122Updated Aug 3, 2026

A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.

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agentscope-ai/PawBench122Updated Aug 3, 2026

plan

Free

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-harness122Updated Oct 26, 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-harness122Updated 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-harness122Updated 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-harness122Updated 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-harness122Updated Oct 26, 2026

手绘 Excalidraw JSON 图表(架构图、流程图、序列图)。

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TencentCloud/octop-harness122Updated Oct 26, 2026

Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).

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TencentCloud/octop-harness122Updated Oct 26, 2026

findmy

Free

通过 macOS 上的 FindMy.app 追踪 Apple 设备/AirTag。

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TencentCloud/octop-harness122Updated Oct 26, 2026

ASCII 艺术:pyfiglet、cowsay、boxes、图像转 ASCII。

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TencentCloud/octop-harness122Updated Oct 26, 2026

findmy

Free

Track Apple devices/AirTags via FindMy.app on macOS.

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TencentCloud/octop-harness122Updated 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-harness122Updated 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-harness122Updated 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-harness122Updated Oct 26, 2026

当用户处于整体被动但需要在局部制造主动时激活此skill。 典型触发信号:公司整体在收缩但士气低落、资源劣势下不知如何破局、宏观被动中需要找到微观突破口。 不调用场景:双方实力相当正常竞争、已有整体优势只需执行、问题不在攻守转换层面。 与"十六字诀"skill的区别:本skill解决"宏观被动中如何制造微观主动"(攻守辩证),后者解决"根据对手状态选择节奏"(时机判断)。

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kangarooking/mao-selected-works-skill122Updated May 2, 2026

当用户处于早期弱小阶段、需要规划从0到1的扩张路径时激活此skill。 典型触发信号:资源有限但野心大、面临"全面铺开还是聚焦突破"的选择、团队出现"流寇"倾向(追风口不深耕)。 不调用场景:已有稳固基本盘只需优化、市场规模有限无需扩张、问题在执行层面而非战略路径。 与"不对称战略"skill的区别:本skill解决"在哪打、怎样扩张"(路径层),后者解决"用什么范式竞争"(战略层)。

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kangarooking/mao-selected-works-skill122Updated May 2, 2026