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概要と使いどころ
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.
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 previewing files with nuxt-ui-tools as a package consumer. Covers mounting UiFilePreviewProvider, opening one file or a gallery with useFilePreview() or useNuxtApp().$filePreview, file descriptors (URL, File/Blob, or a function that returns a signed URL), options (index, mode, gallery, loop, pdf page, callbacks), the returned handle, the built-in renderers (image, video, audio, PDF, text/JSON, CSV, Markdown, Office and archive fallbacks), renditions, download and custom header actions, the markdown render hook, custom renderers with defineFilePreviewRenderer and UiFilePreviewTools, theming tokens, and how the upload field uses the preview.
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。
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.
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 the user requests to generate, create, or imagine videos. Supports structured prompts and reference image for guided generation.
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 the user requests to generate, create, or make presentations (PPT/PPTX). Creates visually rich slides by generating images for each slide and composing them into a PowerPoint file.
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 ASCII art using pyfiglet (571 fonts), cowsay, boxes, toilet, image-to-ascii, remote APIs (asciified, ascii.co.uk), and LLM fallback. No API keys required.
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。
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
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。
Free web search via DuckDuckGo — text, news, images, videos. No API key needed. Prefer the `ddgs` CLI when installed; use the Python DDGS library only after verifying that `ddgs` is available in the current runtime.
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 real meme images by picking a template and overlaying text with Pillow. Produces actual .png meme files.
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。
Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.
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。
Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and sequential image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
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 do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
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). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
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。
Posts content and articles to X (Twitter). Supports regular posts with images/videos and X Articles (long-form Markdown). Uses real Chrome with CDP to bypass anti-automation. Use when user asks to "post to X", "tweet", "publish to Twitter", or "share on X".
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。
Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. This skill should be used when fine-tuning pre-trained models, performing inference with pipelines, generating text, training sequence models, or working with BERT, GPT, T5, ViT, and other transformer architectures. Covers model loading, tokenization, training with Trainer API, text generation strategies, and task-specific patterns for classification, NER, QA, summarization, translation, and image tasks. (plugin:scientific-packages@claude-scientific-skills)
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。
Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.
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。
End-to-end AI video generation - create videos from text prompts using image generation, video synthesis, voice-over, and editing. Supports OpenAI DALL-E, Replicate models, LumaAI, Runway, and FFmpeg editing.
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。
Professional Ziwei Doushu consultation skill with offline, Beijing-standard calculation rules. Use when the user wants a polished Ziwei report from birth date and time, including life palace structure, twelve palaces, four transformations, major luck cycles, yearly triggers, optional chart images, and a clear split between chart facts and traditional interpretation.
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 a complete brand identity for a solopreneur business from scratch or refresh an existing one. Covers brand personality, voice and tone, visual identity system (colors, typography, logo direction, imagery style), tagline crafting, and a brand guidelines document. Use when creating a new brand, rebranding, or needing to make brand decisions consistent. Trigger on "create my brand", "brand identity", "brand guidelines", "define my brand voice", "brand personality", "what should my brand look like", "brand strategy", "rebrand", "brand tone".
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。
Provides expert guidance on Development Containers (devcontainers) — creating, configuring, and optimising containerised development environments using the Dev Container Specification. This skill should be used when users ask about devcontainer.json, .devcontainer setup, Dev Container Features or Templates, pre-building images, multi-container workflows, Docker-in-Docker, cloud development environments (Codespaces, DevPod), or troubleshooting container performance and permission issues.
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。
Automatisation de la création de modèles 3D via Meshy.ai. Utilisez cette compétence pour transformer du texte ou des images en modèles 3D (STL/OBJ), appliquer des textures et livrer le fichier final.
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。
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
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。
Modify, debug, or extend the s6-overlay supervision tree inside the Hermes Agent Docker image — adding new services, debugging profile gateways, understanding the Architecture B main-program pattern.
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。
Pixel art w/ era palettes (NES, Game Boy, PICO-8).
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。