This skill should be used when the user asks to "calculate child support", "養育費を計算", "婚姻費用を計算", "養育費月額", "婚姻費用分担額", "算定表で計算", or wants deterministic computation of child support or marital cost-sharing under the 令和元年改定 standard.
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This skill should be used when the user asks to "calculate child support", "養育費を計算", "婚姻費用を計算", "養育費月額", "婚姻費用分担額", "算定表で計算", or wants deterministic computation of child support or marital cost-sharing under the 令和元年改定 standard.
中文简介正在准备中。当前显示原文说明。
This skill should be used when the user asks to "calculate traffic accident damages", "交通事故の損害額を計算", "損害賠償額を算出", "赤い本基準で計算", "逸失利益を計算", "後遺障害の慰謝料", "過失相殺後の金額", or wants deterministic computation of personal-injury damages under the Red Book (赤い本) standard.
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Busabase App-in-Skill dashboard over a fixed, deterministic mock user-behavior funnel dataset (browse → search → compare → booking attempt/abandon → complete) for a generic consumer booking product. Use when the user invokes $kelly-behavior-predict or /kelly-behavior-predict, wants to review funnel drop-off, per-segment predicted next actions, or backtest a rule-based "predicted next action" heuristic against a mock historical sample. Fully deterministic mock data and a hand-recomputable rule — never a real ML/LLM model, never a live system.
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Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.
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Tunes the CARLA Traffic Manager that drives autopilot vehicles — global and per-vehicle speed, following distance, running lights/signs, lane-change behaviour, lane offset, TM-managed lights, deterministic seed, hybrid physics, and TM sync mode. Use when the user asks to "make the traffic faster/slower", "let cars run red lights", "keep more distance", "stop lane changes", "make traffic deterministic", or otherwise change how autopilot cars behave. For manually driving one car, use control-vehicle.
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读取MCP配置,在不运行服务器的情况下检查批准后仍可能获取不同代码的包引用,分类npm、Python和Docker版本指定,并建议固定到团队已审阅的版本。
将项目文档整理需求分派给合适的专业技能,并按需以只读方式检查文档职责、本地链接、架构决策记录索引和证据引用,分别报告可验证的不一致与待人工复核的警告。
整理网页电子签名编辑器中按数值坐标放置签名、日期和文本字段的流程,核对各签署人的字段归属,并安排发送前的草稿与截图检查。
按项目保存Claude Code中的工作进度、决策和后续步骤,在其他会话中读取摘要,接着上次中断的位置继续工作,也可在会话开始时自动加载。
将年度阅读时长、读完的书籍数量、笔记和兴趣关键词整理成适合分享的竖屏视频HTML模板,以温暖纸张质感和翻书动效呈现阅读回顾。
根据文字或参考图制作适用于Codex的动态宠物,检查各动作的外观一致性与背景透明度,并输出动画精灵图及配置文件。
通过SHA-256核对RuView处理结果,生成可供第三方重新验证的证据包,并检查精度数值是否标明实测、声明或合成数据,以及实机验证证据是否齐全。
在RuView变更后运行Rust和Python测试,以输出哈希检查处理变化,并生成固件哈希清单与证据包,供接收方再次验证。
Find Python input/output calls that may stall asynchronous backend work, then fix or guard each relevant path with runtime tests. Verify that tests fail when blocking behavior returns and pass after the fix is restored.
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Apply simple code changes across files without calling an LLM, using agent-booster's local transformation engine. The skill checks a confidence score before saving results and records outcomes for cost tracking and future routing decisions.
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Track documented code fixes across releases with a signed manifest, a list of fixes and their identifying text. Verify that markers remain in source files, inspect file changes, and use recorded history to identify commits associated with regressions.
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Structure an HTML video project for HyperFrames, with explicit clip timing, tracks, reusable scene sections, and framework-controlled media playback. Provides rules for repeatable rendering and checks to identify composition problems before producing the final video.
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Build editable Three.js worlds from text or structured briefs, with terrain, distinct regions, landmarks, vegetation, and camera paths. Review the environment from multiple viewpoints and refine selected areas while preserving the overall layout and reproducible settings.
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Build HyperFrames animations from small motion recipes, scene templates, and transitions. The skill guides runtime selection, including GSAP, Lottie, and Three.js, and provides an audit script to examine timing and choreography while following HyperFrames requirements for reproducible rendering.
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Build and review HyperFrames animations using motion recipes, scene templates, and transitions. Find guidance for seven animation runtimes, including GSAP and Three.js, and inspect existing scenes for timing gaps and inconsistent motion.
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Build and validate HTML video projects in HyperFrames. It guides scene structure, clip timing, reusable sub-scenes, and audio and video placement, with rules that keep playback predictable and rendered frames consistent.
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Check a Twenty pull request through real browser scenarios derived from its changes. Verify database effects and server logs alongside visible results, then produce screenshots, a structured verdict, and a report of any failures or uncertainty.
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Simulate concentration changes over time from biochemical models in SBML or Antimony, and compare fixed parameter conditions. Checks model units and exports CSV results plus COMBINE archives containing models and experiment settings, then replays them to compare results.
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Estimate RNA velocity, the modeled direction of gene expression change, from single-cell spliced and unspliced counts. Fit models, inspect gene-level plots, visualize trajectories, and explore relative timing and associated genes while checking model limitations.
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