Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
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Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
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。
Guide pump setting adjustments for the MiniMed 780G system based on CareLink data, using Medtronic's 3-step follow-up workflow. Use when a clinician has CareLink data for a 780G patient and wants to know what to change — which setting, by how much, and how to program it. Triggers include: "what do I adjust", "how to fix high TIR", "how to reduce hypos", "adjust ICR/ISF/basal", "SmartGuard settings", "780G pump settings review", or any question about optimising 780G therapy after reviewing a download.
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。
Search an index of public repositories, GitHub issues, merged pull requests, repository READMEs, and curated documentation sites. Use when a programming question needs external documentation or upstream evidence.
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Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models.
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Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
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Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.
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Interact with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Langfuse feature works. This skill covers CLI-based API access (via npx) and multiple documentation retrieval methods.
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。
DSPy: declarative LM programs, auto-optimize prompts, RAG.
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。
Explains code in plain language for someone unfamiliar with the programming language. Use when asked to explain code, walk through logic, describe what a function does, or when the user says "explain this" or "walk me through this".
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Extract text and tables from PDFs, fill PDF form fields programmatically, and merge multiple PDF files into one. Use when working with PDF documents, form filling, document extraction, splitting, or any PDF manipulation task.
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。
Expert-level formal methods covering formal specification, model checking, theorem proving, type theory, program verification, and formal languages.
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。
Expert-level computer graphics covering the rendering pipeline, rasterization, ray tracing, shaders, transformations, lighting models, and GPU programming.
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。
Expert-level embedded systems covering microcontrollers, RTOS, peripheral interfaces, low-power design, bare-metal programming, and embedded Linux.
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Expert-level digital electronics covering Boolean algebra, combinational and sequential logic, FPGA design, HDL programming, timing analysis, and digital system design.
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。
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
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When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," or "SEO health check." For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema-markup.
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。
Construa, depure e otimize aplicativos com Claude API / SDK Anthropic. Aplicativos construídos com esta skill devem incluir cache de prompt. Também lida com migração de código Claude API existente entre versões de modelo (4.5 → 4.6, 4.6 → 4.7, substituições de modelo descontinuado). TRIGGER quando: código importa `anthropic`/`@anthropic-ai/sdk`; usuário solicita Claude API, SDK Anthropic ou Managed Agents; usuário adiciona/modifica/afina um recurso Claude (cache, thinking, compaction, tool use, batch, files, citations, memory) ou modelo (Opus/Sonnet/Haiku) em um arquivo; dúvidas sobre prompt caching / cache hit rate em um projeto SDK Anthropic. SKIP: arquivo importa `openai`/SDK de outro provedor, nome de arquivo como `*-openai.py`/`*-generic.py`, código agnóstico de provedor, programação geral/ML.
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Orientação abrangente para implementar aplicações Python assincronous usando asyncio, padrões de programação concorrente e async/await para construir sistemas de alto desempenho e não bloqueantes.
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Padrões especialistas para desenvolvimento com Azure Functions, incluindo modelo isolated worker, orquestração de Durable Functions, otimização de cold start e padrões de produção. Cobre modelos de programação .NET, Python e Node.js. Use quando: azure function, azure functions, durable functions, azure serverless, function app.
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Quando o usuário quer criar ou otimizar uma sequência de email, drip campaign, fluxo de email automatizado ou programa de lifecycle email. Também use quando o usuário mencionar "sequência de email", "drip campaign", "sequência de nutrição", "emails de onboarding", "sequência de boas-vindas", "emails de reengajamento", "automação de email" ou "emails de lifecycle". Para onboarding in-app, veja onboarding-cro.
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Quando o usuário quer auditar, revisar ou diagnosticar problemas de SEO no seu site. Também use quando o usuário menciona "auditoria de SEO," "SEO técnico," "por que não estou ranqueando," "problemas de SEO," "SEO on-page," "revisão de meta tags," ou "verificação de saúde de SEO." Para construir páginas em escala visando palavras-chave, veja programmatic-seo. Para adicionar dados estruturados, veja schema-markup.
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Geração de demanda multi-canal, otimização de mídia paga, estratégia de SEO e programas de parcerias para startups Series A+. Inclui calculadora de CAC, playbooks de canal, integração com HubSpot e táticas de expansão internacional. Use ao planejar campanhas de geração de demanda, otimizar mídia paga, construir estratégias de SEO, estabelecer parcerias, ou quando o usuário menciona demand gen, anúncios pagos, LinkedIn ads, Google ads, CAC, aquisição, geração de leads ou pipeline.
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Framework de segurança em runtime da NVIDIA para aplicações LLM. Com detecção de jailbreak, validação de entrada/saída, verificação de fatos, detecção de alucinações, filtragem de PII, detecção de toxicidade. Usa DSL Colang 2.0 para rails programáveis. Pronto para produção, executa em GPU T4.
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。