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概要と使いどころ
Use when the task asks for a visually strong landing page, website, app, prototype, demo, or game UI. This skill enforces restrained composition, image-led hierarchy, cohesive content structure, and tasteful motion while avoiding generic cards, weak branding, and UI clutter.
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 skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, google.golang.org/genai for Go), model selection, and API capabilities.
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 a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.
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 skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. This skill covers the Interactions API, the recommended way to use Gemini models and agents in Python and TypeScript.
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 skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Covers polished document output, tracked changes, comments, image updates, XML-level repairs, and safe conversion 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。
Expert en ComfyUI workflows avancé (install, custom nodes, model management, workflow 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。
Computer Vision Specialist IA — Expert en vision par ordinateur (YOLO, OpenCV, object detection, OCR, segmentation)
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 en sécurité des conteneurs (Trivy, Snyk, image scanning, SBOM, runtime security, DZ)
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。
Cloudflare Specialist IA — Expert en Cloudflare (Workers, Pages, DNS, WAF, R2, D1, Turnstile, Images)
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。
Créateur de Contenu IA — Expert en génération de contenu (TikTok, YouTube, sites web) avec IA. Maîtrise Claude Code, Suno, image gen, et faceless content.
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 en technologies agricoles avancées (precision farming, IoT sensors, satellite imagery, yield prediction, DZ context)
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。
Read and write files in the shared session workspace. Use this to access files created by any skill — code-agent outputs, office documents, images, and more. All within the same isolated session.
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。
Migrate a .NET 9 project or solution to .NET 10 and resolve all breaking changes. USE FOR: upgrading TargetFramework from net9.0 to net10.0, fixing build errors after updating the .NET 10 SDK, resolving source and behavioral changes in .NET 10 / C# 14 / ASP.NET Core 10 / EF Core 10, updating Dockerfiles for Debian-to-Ubuntu base images, resolving obsoletion warnings (SYSLIB0058-SYSLIB0062), adapting to SDK/NuGet changes (NU1510, PrunePackageReference), migrating System.Linq.Async to built-in AsyncEnumerable, fixing OpenApi v2 API changes, cryptography renames, and C# 14 compiler changes (field keyword, extension keyword, span overloads). DO NOT USE FOR: .NET Framework migrations, upgrading from .NET 8 or earlier (use migrate-dotnet8-to-dotnet9 first), greenfield .NET 10 projects, or cosmetic modernization. LOADS REFERENCES: csharp-compiler, core-libraries, sdk-msbuild (always); aspnet-core, efcore, cryptography, extensions-hosting, serialization-networking, winforms-wpf, containers-interop (selective).
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。
Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants.
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。
Collect and verify Google Street View exterior references for a building reconstruction, preserving panorama identity, imagery dates, attribution and viewpoint separately from calibrated scan evidence.
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。
Turn an idea into a deployed prototype: a spec from brainstorming, a visual plan of the ComfyUI workflow, a prototype built with startcycle, one hero image, green CI, then push and deploy after separate GOs. Use for "idea to launch", "from idea to a live prototype", "build and deploy this idea".
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。
Turn a look brief and reference images into a finished social clip: concept, TouchDesigner look and palette, ComfyUI stills, a recorded take, a cut in DaVinci Resolve or Remotion, 9:16 and 16:9 exports, publish only after GO. Use for "moodboard to clip", "make a social clip from these references", "look brief to 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。
Use when a PR or git range needs a visual recap page for a reviewer, with a changed-files tree, per-file notes, a Verified vs Not verified table, risks, and optional before/after images. Local and informational; never posts to GitHub.
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 Japanese PDFs using reportlab or fpdf2 with CJK font embedding, vertical text, business document templates, and inkan image placement. Triggers on requests to create 日本語PDF, 請求書PDF, 領収書PDF, PDF帳票, 縦書きPDF.
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。
Implement computer vision features including text recognition (OCR), face detection, barcode scanning, image segmentation, object tracking, and document scanning in iOS apps. Covers both the modern Swift-native Vision API (iOS 16+) and legacy VNRequest patterns, VisionKit DataScannerViewController for live camera scanning, and VNCoreMLRequest for custom model inference. Use when adding OCR, barcode scanning, face detection, or custom Core ML model inference with Vision.
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 high-converting App Store screenshots by analyzing your app's codebase, discovering core benefits, and creating ASO-optimized screenshot images using Nano Banana Pro.
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。
Diagnoses and fixes UI performance across loading speed, rendering, animations, images, and bundle size. Use when the user mentions slow, laggy, janky, performance, bundle size, load time, or wants a faster, smoother experience.
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。
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
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 at handling file uploads and cloud storage. Covers S3, Cloudflare R2, presigned URLs, multipart uploads, and image optimization. Knows how to handle large files without blocking. Use when: file upload, S3, R2, presigned URL, multipart.
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。