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Found 294 Skills
When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates. Also use when the user mentions "paywall," "upgrade screen," "upgrade modal,...
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
Provides usage guidance for Instructure UI (InstUI) React components. Use when working with @instructure/ui packages, when asked how to use InstUI components, which component to choose, or how to apply props, guidelines, theming, or accessibility rules. Covers AiInformation, Alert, AppNav, Avatar, Badge, Billboard, Breadcrumb, Button, Byline, Calendar, Checkbox, CheckboxGroup, CloseButton, ColorContrast, ColorIndicator, ColorMixer, ColorPicker, ColorPreset, CondensedButton, ContextView, DataPermissionLevels, DateInput, DateInput2, DateTimeInput, DrawerLayout, Drilldown, Editable, FileDrop, Flex, FormField, FormFieldGroup, Grid, Heading, IconButton, Img, InlineList, InPlaceEdit, InstUISettingsProvider, Link, List, Menu, Metric, MetricGroup, Modal, NutritionFacts, NumberInput, Overlay, Pages, Pagination, Pill, Popover, ProgressBar, ProgressCircle, RadioInput, RadioInputGroup, RangeInput, Rating, Responsive, Select, SideNavBar, SimpleSelect, SourceCodeEditor, Spinner, Table, Tabs, Tag, Text, TextArea, TextInput, TimeSelect, ToggleButton, ToggleDetails, ToggleGroup, Tooltip, TopNavBar, Tray, TreeBrowser, TruncateText, View.
Use when generating images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API. Use when creating text-to-image outputs, controlling size/seed/prompt_extend, or documenting request/response mapping for Z-Image.
Vercel Chat SDK expert guidance. Use when building multi-platform chat bots — Slack, Telegram, Microsoft Teams, Discord, Google Chat, GitHub, Linear — with a single codebase. Covers the Chat class, adapters, threads, messages, cards, modals, streaming, state management, and webhook setup.
Builds accessible, production-ready frontend components. Use when building UI components, forms, modals, or any React/Vue/Svelte frontend work — before writing component code.
DeepMind Researcher: AGI through deep understanding, AlphaGo/AlphaZero RL, AlphaFold scientific discovery, Gemini multimodal, neuroscience-inspired architectures. Scientific rigor + industrial scale. Triggers: DeepMind research, AlphaGo algorithms, protein folding AI, scientif...
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, or icon swaps. 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", "tween the size", "fade between", "smooth open", "smooth close".
Choose the right fal.ai endpoint for a given task. Modality-organized catalog of production endpoint defaults, text-to-image, image-to-image, text-to-video, image-to-video, and more. Use when the user has not named a specific model, or asks "which model for X", "best endpoint for Y", "what should I use for Z".
Generate a single-file interactive HTML code-review artifact for a GitHub PR. Fetches the diff via the gh CLI, performs an honest severity-coded self-review, and renders an artifact with: collapsible per-file diffs with colored inline annotations, severity filter chips, per-finding checkboxes, and a "Create feedback prompt" modal that aggregates the checked items into a paste-ready follow-up prompt ending with "Please address this feedback. Address each individual item in its own conventional commit." Use this skill whenever the user wants to review a pull request visually, asks for an HTML or static review artifact, says "review PR", "review this PR", "build a PR review", wants color-coded findings, feedback aggregation, or a review file they can share — even if they don't explicitly say "HTML". Also trigger on "code review artifact", "interactive review", "feedback prompt for a PR", or when the user mentions reviewing a specific PR number.
Complete FFmpeg + OpenCV + Python integration guide for video processing pipelines. PROACTIVELY activate for: (1) FFmpeg to OpenCV frame handoff, (2) cv2.VideoCapture vs ffmpeg subprocess, (3) BGR/RGB color format conversion gotchas, (4) Frame dimension order img[y,x] vs img[x,y], (5) ffmpegcv GPU-accelerated video I/O, (6) VidGear multi-threaded streaming, (7) Decord batch video loading for ML, (8) PyAV frame-level processing, (9) Audio stream preservation with video filters, (10) Memory-efficient frame generators, (11) OpenCV + FFmpeg + Modal parallel processing, (12) Pipe frames between FFmpeg and OpenCV. Provides: Color format conversion patterns, coordinate system gotchas, library selection guide, memory management, subprocess pipe patterns, GPU-accelerated alternatives to cv2.VideoCapture. Ensures: Correct integration between FFmpeg and OpenCV without color/coordinate bugs. See also: ffmpeg-python-integration-reference for type-safe parameter mappings.
React game UI patterns using shadcn/ui, Tailwind, and Framer Motion for polished game interfaces. Use when building HUDs, resource bars, scoreboards, modals, tooltips, card components, or any game UI. Includes micro-interactions, animations, responsive layouts, and accessibility for games. Triggers on requests for game interface components, UI animations, or shadcn/ui game patterns.