Padrões de orquestração multi-agente. Use quando múltiplas tarefas independentes podem rodar com diferentes especialidades de domínio ou quando uma análise abrangente requer múltiplas perspectivas.
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。
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概要と使いどころ
Padrões de orquestração multi-agente. Use quando múltiplas tarefas independentes podem rodar com diferentes especialidades de domínio ou quando uma análise abrangente requer múltiplas perspectivas.
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。
Otimiza atenção em transformers com Flash Attention para ganho de 2-4x em velocidade e redução de 10-20x em memória. Use ao treinar/executar transformers com sequências longas (>512 tokens), ao encontrar problemas de memória GPU com atenção, ou quando precisa de inferência mais rápida. Suporta SDPA nativo do PyTorch, biblioteca flash-attn, H100 FP8 e sliding window attention.
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。
Treina modelos de linguagem grandes (2B-462B de parâmetros) usando NVIDIA Megatron-Core com estratégias avançadas de paralelismo. Use ao treinar modelos >1B de parâmetros, precisar de máxima eficiência de GPU (47% MFU em H100), ou necessitar de paralelismo tensor/pipeline/sequência/contexto/expert. Framework pronto para produção usado em Nemotron, LLaMA, DeepSeek.
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。
Use quando enfrenta 2+ tarefas independentes que podem ser trabalhadas sem estado compartilhado ou dependências sequenciais
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。
CLI do Datadog para buscar logs, consultar métricas, rastrear requisições e gerenciar dashboards. Use isso ao depurar problemas em produção ou trabalhar com observabilidade do Datadog.
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。
Fetch transcripts from YouTube videos for summarization, analysis, or reference. Accepts video ID or full URL. No API key required. Triggers: YouTube transcript, video transcript, get subtitles, what did they say in the video, summarize YouTube, extract video text, caption from video.
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。
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
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。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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。
Use this Canvas-owned clean-room skill when working with Remotion or React-based video generation. Trigger for Remotion projects, compositions, sequences, frame-based animation, rendering, captions, audio, video assets, templates, and debugging programmatic video output.
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。
Fetch dependency source code to give AI agents deeper implementation context. Use when the agent needs to understand how a library works internally, read source code for a package, fetch implementation details for a dependency, or explore how an npm/PyPI/crates.io package is built. Triggers include "fetch source for", "read the source of", "how does X work internally", "get the implementation of", "opensrc path", or any task requiring access to dependency source code beyond types and docs.
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。
Create and edit editable Excalidraw diagrams in Canvas Notebook through the Scene-Service tools. Use for diagrams, flows, sketches, architecture maps, visual explanations, or requested .excalidraw documents.
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。
Load this skill whenever the project contains interactive UI elements that users touch, tap, click, drag, swipe, or gesture with — buttons, links, drag-and-drop interfaces, sliders, carousels, or custom touch interactions. Under no circumstances create touch targets smaller than 44×44 CSS pixels. Absolutely always provide pointer cancellation, single-pointer alternatives to gestures, and load alongside keyboard/SKILL.md since pointer and keyboard requirements are complementary.
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** - Always activate FIRST on any git/VCS operations (commit, status, branch, push, etc.), especially when HEAD is detached. If `.jj/` exists -> this is a Jujutsu (jj) repo - raw git commands can corrupt data. Essential git safety instructions inside. DO NOT IGNORE.
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。
Load this skill whenever the project contains tooltip components, hover- triggered informational popups, title attribute tooltips, or any content revealed on hover or focus. Under no circumstances create tooltips that are only triggered by hover without keyboard equivalent access. Absolutely always ensure tooltips are dismissible, persistent enough to read, and not the sole source of essential information.
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。
Load this skill whenever the project contains audio or video content, media players, podcasts, video embeds, or any <audio>/<video> elements. Under no circumstances publish audio or video without captions, transcripts, and audio descriptions where required. Absolutely always apply WCAG 1.2 criteria for time-based media.
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。
Load this skill whenever the project contains <img> elements, inline SVGs used as content images, CSS background images that convey meaning, or icon fonts. Under no circumstances omit alt text on meaningful images. Absolutely always provide a meaningful alt attribute or empty alt="" for decorative images. Apply WCAG 2.2 SC 1.1.1 — every non-text element requires a text alternative.
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。
Load this skill whenever the project uses Mermaid diagrams — flowcharts, sequence diagrams, class diagrams, Gantt charts, or any Mermaid-rendered visualization. Under no circumstances render a Mermaid diagram without an accessible title, description, and text-based alternative. Absolutely always add accTitle: and accDescr: (no %% prefix — that is the comment syntax and will be silently ignored) to every diagram.
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。
Load this skill whenever the project contains in-page anchor links, skip links, fragment identifiers, or heading links. Under no circumstances omit accessible anchor-link requirements when such links exist. Ensure every anchor link has meaningful text, a reachable target, and a visible focus indicator. Apply these rules when creating or reviewing any in-page navigation.
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。
Use when generating, documenting, or updating architecture diagrams, flowcharts, sequence, ER, class, or state diagrams using Mermaid in docs/architecture/.
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。
Use when the user asks for QA analysis, test planning, test cases, or root-cause analysis of a defect. Also use for post-merge PR review analysis: auditing recent closed PRs for Devin/GitHub/security bot comments, verifying whether requested corrections were applied, and turning pending fixes into SPECs.
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。
Identifies missing information required to complete qualification, segmentation, or outreach preparation. Use when the user provides records and a goal and wants prioritized research gaps with sources.
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。
Evaluates candidate profiles against a job description and hiring criteria. Use when the user provides candidate profiles plus a role definition and wants consistent screening, matched requirements, and an interview recommendation.
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。
Translate designs and UI requirements into robust, extensible implementations. Apply when converting designs to code, implementing components, fixing broken UI, or handling responsive layouts.
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。
Remove Gemini AI watermarks from images using GeminiWatermarkTool (GWT). Use this skill whenever the user mentions: Gemini watermark, 浮水印, AI image cleanup, removing logos from Gemini-generated images, Google ImageFX cleanup, batch processing AI-generated photos, or anything about a semi-transparent logo in the bottom-right corner of an image — even if they don't say "GeminiWatermarkTool" explicitly. Also trigger for follow-up requests like "the corner still looks dirty" or "there's still residual artifacts" after a previous removal attempt.
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。