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概要と使いどころ
Expert error coordinator specializing in distributed error handling, failure recovery, and system resilience. Masters error correlation, cascade prevention, and automated recovery strategies across multi-agent systems with focus on minimizing impact and learning from failures.
日本語の概要は準備中です。原文の説明を表示しています。
将文案与用户自己的参考录音合成为配音、SRT 和可交接时间轴。默认使用 MiniMax 与用户自己的音色；可显式选择免费本地 Qwen3-TTS（Apple Silicon 用 MLX）或 Nano CPU。适用于口播配音、声音复刻，以及为网页视频演示准备最终音频和字幕。
日本語の概要は準備中です。原文の説明を表示しています。
Detect, triage, de-duplicate, and raise compiler bug reports when an agent encounters a likely compiler defect during implementation, review, testing, or issue work. Use when a task surfaces an ICE, panic, wrong accept/reject behavior, miscompile, lowering/emission bug, diagnostic bug, formatter/LSP/frontend drift, or other likely compiler/tooling defect; pause current work, minimize the repro, decide whether the bug blocks the task or has a valid workaround, check whether it is already reported, and then use create-github-issue to raise the bug.
日本語の概要は準備中です。原文の説明を表示しています。
REQUIRED for end-user customization of Linux desktop, window manager, or system config. Use when editing ~/.config/hypr/, ~/.config/omarchy/, ~/.config/alacritty/, ~/.config/foot/, ~/.config/kitty/, or ~/.config/ghostty/. Triggers: Hyprland, window rules, animations, keybindings, monitors, gaps, borders, blur, opacity, omarchy-shell, bar, terminal config, themes, background, night light, idle, lock screen, screenshots, reminders, layer rules, workspace settings, display config, and user-facing omarchy commands. Excludes Omarchy source development through `omarchy dev link` workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Icarus Figures produces publication-grade figures for scientific papers — reproducible matplotlib/seaborn data figures and original TikZ method/framework/architecture figures, held to a four-axis quality bar (depth · elegance · unimpeachable · visible-gap) and exported as editable PDF+PNG+SVG with a runnable critique gate. Use this whenever a figure is destined for a paper, journal, conference submission, thesis, or report — making a plot/chart publication- or journal-ready, building a method/architecture/framework diagram or 技术路线图 (the hero figure a paper opens with), a schematic or workflow figure, or cleaning up a matplotlib/seaborn/TikZ figure that currently looks like a homework plot. Trigger even when the user never says "publication": if the figure goes into a written scientific document, this skill applies.
日本語の概要は準備中です。原文の説明を表示しています。
Install, check or upgrade the papercut toolchain. Runs the doctor, asks how much to set up (Minimal, Standard, Full), then runs install.sh with flags and fixes dependency errors. Use for "set up papercut-explainer", "install papercut", "check my papercut install", "set up the voice", "why won't it render".
日本語の概要は準備中です。原文の説明を表示しています。
Author, compile, inspect, and revise WAM low-poly 3D characters, creatures, props, rigs, and animations with ChatGPT Codex. Use for WAM or .wam requests, WoW-style or game-ready models, and one or more reference images or requested render views.
日本語の概要は準備中です。原文の説明を表示しています。
Generate an interactive, self-contained HTML course on any Claude documentation topic. Use this skill when the user wants to create an interactive course, tutorial, or deep-dive walkthrough about a Claude feature, API concept, SDK pattern, or prompt engineering technique. Triggers on: "create a course about", "interactive tutorial for", "teach me about X interactively", "make a course on", "I'd like a course", "/docs --course", "/docs course", or when the user accepts the post-docs course prompt. Produces a stunning single-page HTML file with scroll-based navigation, animated visualizations, quizzes, and code translations drawn from official Claude documentation.
日本語の概要は準備中です。原文の説明を表示しています。
Build and query architecture-aware code search, dependency graphs, call flows, impact analysis, and belief maps for Python, TypeScript, TSX, Rust, C#, Java, Go, Ruby, and Ruby on Rails repositories. Use before non-trivial code changes to find module boundaries, blast radius, architecture violations, and the minimal source files to read.
日本語の概要は準備中です。原文の説明を表示しています。
当投资者因股价涨跌产生焦虑、恐惧或贪婪情绪，需要回归理性决策时激活。 典型触发：股价暴跌时恐慌想卖、暴涨时焦虑要不要止盈、与他人比较收益而心态失衡、因用了非闲钱而睡不着觉。 语言信号："我该不该止盈""跌了这么多我好慌""别人赚了那么多我没赚到""心跳跟着股价走"。 不适用于：纯信息查询（问某公司财报数据）、明确的买入/卖出决策逻辑（那是能力圈或机会成本skill）、短期交易策略咨询。 与相邻skill区分：能力圈skill解决"懂不懂"的认知问题，本skill解决"懂了但情绪仍然失控"的情绪-认知断裂问题；Stop Doing List是事前纪律防线，本skill是事中情绪恢复机制。
日本語の概要は準備中です。原文の説明を表示しています。
当用户纠结"要不要卖/换/止盈/止损"时激活。核心信号：用户用买入成本、浮盈浮亏、持仓时间作为卖出理由，或问"已经赚了X%该不该走"。也适用于纠结"持有A还是换B"的资产配置场景。不适用于：纯估值计算（交给 dcf-valuation）、判断公司好坏（交给 good-business）、情绪安抚（交给 equanimity-mindset）。本 skill 只解决一个问题——用机会成本统一买卖逻辑，消除"成本锚定"和"止盈止损"的伪决策。
日本語の概要は準備中です。原文の説明を表示しています。
Write or rewrite prose so it sounds like a human wrote it — not a frontier model. Named in homage to Rabindranath Tagore, whose prose carried what frontier models reach for and miss: a point of view, specificity over abstraction, and restraint over puffery. Merges two complementary approaches: a 29-pattern catalog of AI tells (from humanizer) plus an 8-rule operating system with an 8-dimension scoring gate (extending stop-slop). Use when drafting, editing, or reviewing any prose: essays, posts, docs, reports, emails. Detects and removes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary, passive voice, negative parallelisms, filler phrases, inanimate-verb constructions, narrator-from-a-distance voice, and metronomic rhythm. Adds back the things AI writing usually lacks: point of view, stakes, specificity, restraint, varied rhythm, and trust in the reader.
日本語の概要は準備中です。原文の説明を表示しています。
Private Code-to-Video Engine using Remotion React, TTS (ElevenLabs/OpenAI), and Content Mastery. Creates pure VibeCoding-style animations for TikTok/Shorts/Reels automatically.
日本語の概要は準備中です。原文の説明を表示しています。
Ultimate UI/UX design intelligence: an Anti-Slop layer that kills AI tells (em-dash, AI purple glow, generic names, template layouts), tunable Design Dials (variance/motion/density) and Style Modes (functional, minimalist, brutalist, soft-premium, marketing), 161 industry color palettes in a shadcn-aligned semantic token schema, 48 UX Laws, 37 Design Tests, UX Heuristics (Nielsen + Krug), Harvester extraction, Figma & Google Stitch integration, MCP server, Component Generator, and BM25 search across 17 domains + 19 framework stacks. One command = complete design system. Use when designing or reviewing UI/UX, choosing colors/typography, fixing generic AI-looking designs, or building Web App / SaaS / Mobile screens.
日本語の概要は準備中です。原文の説明を表示しています。
Generates individual Remotion scene components from visual direction. Input is visual/animation description for a specific scene. Output is SCENE_COMPONENT.md with complete TSX implementation. Use when implementing scenes or when asked to "create a scene component", "implement scene from spec", "build Scene1Intro".
日本語の概要は準備中です。原文の説明を表示しています。
Best practices for Remotion - Video creation in React
日本語の概要は準備中です。原文の説明を表示しています。
Orchestrates translation of motion designer video specifications into working Remotion code by coordinating specialized agents. Acts as pipeline coordinator that delegates to remotion-scaffold, remotion-animation, remotion-composition, and remotion-component-gen. Use when you have a complete VIDEO_SPEC.md and need full Remotion implementation.
日本語の概要は準備中です。原文の説明を表示しています。
host chinese call of cthulhu and similar investigative tabletop rpg sessions as kp/keeper. use when the user asks to start, continue, simulate, or play a coc scenario, wants chatgpt to be kp, asks for preset investigator cards, npc teammates, dice checks, horror investigation pacing, solo/co-op tabletop roleplaying, or persistent pre-session prep/project folders for a campaign. ask only the minimum setup questions: whether the user wants a custom investigator persona and how many npc teammates; otherwise handle scenario selection, character card creation, npc teammates, dice, pacing, narration, and campaign notes automatically.
日本語の概要は準備中です。原文の説明を表示しています。
Remotion Map animation knowledge
日本語の概要は準備中です。原文の説明を表示しています。
Transcribing, displaying and animating captions
日本語の概要は準備中です。原文の説明を表示しています。
Content, animation and effects best practices
日本語の概要は準備中です。原文の説明を表示しています。
Deterministic workflow to find and export full podcast transcripts as cleaned TXT files from YouTube URLs, episode webpages (including Xiaoyuzhou), Apple Podcasts title search, X/Twitter links, direct audio URLs, or plain episode titles. Use when users ask for 逐字稿/文字版/transcript/txt and want minimal trial-and-error.
日本語の概要は準備中です。原文の説明を表示しています。
Clone un site web à l'identique à partir d'une URL : capture Playwright complète (screens full-page + fold par fold sur desktop/tablet/mobile, crops par section, états hover), extraction de tout ce que le navigateur expose (fonts, variables CSS, palette, typo, layout, breakpoints, animations, assets, console/network), reconstruction section par section, puis boucle de vérification par diff pixel et console propre. Utilise ce skill DÈS QUE l'utilisateur veut copier, cloner, répliquer, reproduire, « refaire pareil », s'inspirer fortement d'un site, d'une landing page, d'un template ou d'une page précise (« fais-moi la même chose que X », « copie ce site », « reproduis cette landing », « clone neverboring.ai », « je veux exactement ce design »), même s'il ne dit pas « clone ». Aussi pour auditer visuellement un site existant (screens complets, design tokens, fonts utilisées).
日本語の概要は準備中です。原文の説明を表示しています。
Systematic root-cause isolation and minimal fix proposal for software bugs.
日本語の概要は準備中です。原文の説明を表示しています。