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Found 293 Skills
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.
Adversarial robustness engineering for ML/AI—evasion, poisoning, extraction, membership-inference threat models; robust training, sanitization, detectors; ASR/certified evals; lab model attacks; data-pipeline integrity; production I/O guardrails (classical ML and LLM/multimodal). Use for adversarial examples, robustness suites, poison audits, deploy guardrails—not LLM app red team (ai-redteam), governance (ai-risk-governance), safety classifier R&D (ml-research-engineer-safeguards), safeguard serving (ml-infrastructure-engineer-safeguards), privacy research (privacy-research-engineer-safeguards), AppSec pentest (penetration-tester).
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.
Laravel Blade views, Alpine.js, Vue.js integration, TailwindCSS styling, Vite assets. ALWAYS activate when: working with resources/views/, Blade components, frontend forms, UI elements, modals, dropdowns, forms. Triggers on: görünmüyor, gösterilmiyor, sayfa yüklenmiyor, sayfa açılmıyor, form çalışmıyor, form gönderilmiyor, buton çalışmıyor, button not working, style bozuk, CSS bozuk, renk yanlış, color wrong, responsive bozuk, mobile görünüm, dark mode çalışmıyor, layout bozuk, component çalışmıyor, modal açılmıyor, dropdown çalışmıyor, asset yüklenmiyor, image not loading, JS error, JavaScript hatası.
Scaffold Slack apps from existing functionality using Bolt for JavaScript and the Slack CLI. Use when turning a service, script, or workflow into a Slack app with events, commands, modals, or automations.
Build MoonShine admin panel UI with Blade components — tables, forms, cards, modals, navigation, and page layouts. Use when creating admin interfaces, data tables with actions, form layouts, or any UI using MoonShine's component library.