Perform various data analysis on SEC 13-F and obtain some insights of fund activities such as number of holdings, AUM, and change of holdings between two quarters.
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Use when checking simplified ADA-derived plan-view bathroom accessibility constraints such as turning space, door clear width, toilet centerline, grab bars, and lavatory knee/toe clearance.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use this skill for plan-view accessibility checks. It is not a full legal ADA compliance review; apply only the geometric rules provided by the task.
Report one violation per failed rule/element pair. Use stable machine-readable rule names from the rules file, for example:
door_clear_width_minturning_circle_diameter_minturning_circle_fit_usable_floortoilet_centerline_from_side_wall_rangeside_grab_bar_length_minrear_grab_bar_length_minside_grab_bar_toilet_side_wall_alignmentrear_grab_bar_toilet_centerline_spanlavatory_knee_clearance_minDo not report vertical requirements such as seat height, mounting height, mirror height, signage height, or pipe protection if the task scope excludes them.
Use combined rule names for range checks. For example, if the toilet centerline is outside the allowed range, report toilet_centerline_from_side_wall_range; do not invent separate *_min or *_max violation names unless the rules file explicitly asks for them.
Use the element id that matches the failed requirement's scope:
WC1.bathroom_1, because the failure is about whether usable floor area can contain the full circle.还没有评价。欢迎分享你的使用感受。
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Perform various data analysis on SEC 13-F and obtain some insights of fund activities such as number of holdings, AUM, and change of holdings between two quarters.
中文简介正在准备中。当前显示原文说明。
AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching `acopf-math-model.md` and MATPOWER branch fields. Use when computing branch flows in either direction, aggregating bus injections for nodal balance, checking MVA (rateA) limits, computing branch loading %, or debugging sign/units issues in AC power flow.
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Redact text from PDF documents for blind review anonymization
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Analyze failed GitHub Action jobs for a pull request.
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Use when extracting plan-view architectural geometry from DXF files with semantic CAD layers, especially when outputs must normalize rooms, doors, fixtures, clearances, and grab bars into machine-checkable JSON.
中文简介正在准备中。当前显示原文说明。
Implement paper-defined attention variants by extracting mechanism invariants, mapping tensor shapes, preserving module interfaces, validating numerical behavior, and integrating the custom attention into an existing transformer stack.
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