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概要と使いどころ
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.
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。
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.
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, update, or review Picoclaw skills. Use when writing a new skill, modifying an existing SKILL.md, turning a repeated workflow into a reusable skill, or organizing scripts, references, and assets for a 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。
Create or review IntelliJ New UI SVG icons, theme variants, sizes, and palette.
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 multi-vendor AI provenance marks: invisible Unicode (Layer A), statistical text watermarks via rewrite (Layer B, always offer), and C2PA/EXIF/XMP/container metadata on PNG/JPEG/WebP/SVG/PDF/DOCX/ODT/HTML/MD/TEX. Covers Claude, Gemini/SynthID-class, OpenAI provenance, and open-LLM sampling marks. Use when the user asks to strip watermarks, remove C2PA/Content Credentials, clean AI metadata, remove invisible Unicode, anti-detect clean AI output, or runs /remove-ai-marks (aliases: /remove-claude-marks).
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。
Static visual content across 20+ formats — diagrams, mermaid, infographics, D3 dashboards, comics, icons, wallpaper — via Nano Banana Pro (default), Nano Banana, and Flux. USE WHEN art, illustration, diagram, flowchart, infographic, header image, blog social thumbnail, visualize, generate image, mermaid, architecture diagram, comic, icon, blog art, framework diagram, D3 chart, remove background, wallpaper. NOT FOR locked house-style YouTube/channel/video thumbnails, video or animation (use Remotion), or web UI design and integrated frontend layout (use Webdesign).
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。
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.
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。
Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.
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。
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.
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。
网页与数字界面设计师和平面设计师在开发App、网页或设计UI界面时，当需要快速产出高质量Icon，使用此技能即可一键生成多尺寸、风格统一的标准图标，彻底解决图标设计耗时痛点，大幅提升视觉交付效率！
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。
Polishes the surfaces, icons and motion in your project with exact values for border radius, optical alignment, shadows, icon states and animation.
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。
How to reliably write files containing multi-byte Unicode (emoji, special symbols) when write_file fails with 'unknown error' by falling back to run_shell with a heredoc.
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。
Handle LaTeX Unicode errors in pandoc PDF generation by normalizing special characters to ASCII
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。
Unicode-safe fallback workflow for multi-format document generation with character sanitization and explicit error capture
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 document generation with unicode sanitization, engine fallback chain, and explicit error diagnosis
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。
Unicode-safe fallback workflow for multi-format document generation with character sanitization
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。
Kick off public 16S, 18S, ITS, COI, or other marker-gene amplicon microbiome workflows using nf-core/ampliseq, QIIME2, DADA2, and Cutadapt.
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 Iconify Solar Duotone Bold icon style.
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 embedding and customizing Unicorn Studio interactive animations on the web (embed, responsive sizing, performance, layering with UI, fallbacks).
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 Iconify Simple Icons logos (64x64) instead of text logos.
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。
Draws original spot illustrations of one hero object as SVG cards (480x360) in a teal-on-white style. Identifying traits are a single object in a fixed oblique 3/4 view showing top, front and right faces; white main faces with teal only on side faces and accents; thin dark-teal outlines on every edge; a hard, unblurred deep-teal drop shadow pushed down-right; and two to four small floating extras (coins, tilted UI cards, badges) with their own hard shadows, plus 4-point sparkles. No people. Covers design and coding concepts as objects: keyboards, databases, git graphs, inboxes, devices. Use when someone asks for a teal spot, teal icon illustration, isometric spot object, 3D line spot, empty-state art, onboarding step art, a 404 or error spot, a feature spot, a blog header object, a marketing card or a product icon scene in teal, mint or green-teal.
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 with the ChainGPT Web3 AI developer platform. Full API/SDK reference and project scaffolding for: Web3 AI Chatbot & LLM, AI NFT Generator, Smart Contract Generator, Smart Contract Auditor, AI Crypto News, AgenticOS Twitter agents, and Solidity LLM. Use when building blockchain apps, Web3 chatbots, NFT tools, smart contract tools, crypto news feeds, AI agents, or integrating any ChainGPT API. Triggers: chaingpt, web3 ai, nft generator, smart contract audit, crypto news api, agenticos, solidity llm, cgpt, blockchain ai, token analytics.
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 for theming .NET MAUI apps — light/dark mode via AppThemeBinding, ResourceDictionary theme switching, DynamicResource bindings, system theme detection, and user theme preferences. Use when: "dark mode", "light mode", "theming", "AppThemeBinding", "theme switching", "ResourceDictionary theme", "dynamic resources", "system theme detection", "color scheme", "app theme", "DynamicResource". Do not use for: localization or language switching (see .NET MAUI localization documentation), accessibility visual adjustments (see .NET MAUI accessibility documentation), app icons or splash screens (see .NET MAUI app icons documentation), or Bootstrap-style class theming (see Plugin.Maui.BootstrapTheme NuGet package).
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。
Production-ready CSS transitions for web apps. Use when implementing notification badges, dropdowns, modals, panel reveals, page transitions, card resizes, number pop-ins, text swaps, icon swaps, success checks, avatar group hovers, error state shakes, search/input clear, skeleton loaders, shimmer text, sliding tabs, tooltips, staggered text reveals, card hover tilt, plus-to-menu morph, accordions, toasts, like buttons, learn-more hovers, checkbox checks, spinning counters, toggles, AI thinking states, reasoning streams, streaming text, matrix dot loaders, or banner stacking. Triggers on "add a transition", "animate the dropdown", "make the modal open smoothly", "swap icon", "page slide", "stagger animation", "open / close transition", "make it animate", "fade between", "success animation", "form error", "shake on invalid", "hover lift", "avatar stack hover", "clear the search", "skeleton loader", "loading shimmer", "shimmer text", "sliding tabs", "segmented control", "tooltip", "reveal text", "tilt card", "3D hover tilt", "cursor glare", "plus to menu", "FAB morph", "accordion", "collapsible", "expand / collapse", "disclosure", "toast", "snackbar", "like button", "heart animation", "learn more arrow", "checkbox", "check animation", "spinning counter", "odometer", "slot machine digits", "toggle", "switch", "thinking states", "AI status line", "agent reasoning", "reasoning stream", "streaming text", "stream words in", "matrix loader", "dot loader", "banner stack", "stacked toasts". Also "motion tokens", "scan for ad-hoc transitions", "replace hardcoded durations with motion tokens", "tokenize my animations", and the commands transitions reveal, transitions review, transitions apply, transitions refine.
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。