'pixel' 검색 결과

Local vision CLIs: glance (describe/ask/OCR an image), ground (locate a target, pixel box), detect (element inventory), trace (image to SVG geometry), crop (cut a pixel box to a file), and scripts/html_shot.py (HTML file to image). Use for any task involving an image — questions, text, splitting and transcribing long screenshots or chat histories, locating elements, comparing, rebuilding as HTML/SVG, digitizing a sketch or diagram, reading values off a chart, operating a GUI from screenshots — and to re-check an image yourself when a description you were given lacks a detail.

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Use when creating a ChatGPT pet or Codex pet with Scenario: hatching an animated companion from a text idea, a character, mascot or brand cue, or reference photos and art; making the 1536x2288 v2 pet sprite sheet with nine animation states and sixteen look directions, the 1536x1872 v1 sheet ChatGPT web uploads, a pixel-perfect pixel-art pet, an animated GIF of the pet, or a Codex pet.json package.

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Use when creating game art through Scenario MCP: sprites, sprite sheets, icons, props, loot, tilesets and autotile terrain transitions, seamless tiles, isometric buildings, top-down maps, pixel art, UI buttons and panels, parallax background layers or depth planes for side-scrollers, and character or concept art; or when assets need transparent backgrounds, background removal, style-consistent variation batches, upscaling, pixel-grid cleanup, or PNG export for Unity, Godot, or Unreal.

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Neuropixels probe electrophysiology data processing and analysis

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A card reveals a second face through a burst of pixel tiles on hover — a retro reveal. A few cards, not a grid. Under prefers-reduced-motion the back face just appears.

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Pixel tiles light up in a wave across a card on hover — a subtle retro shimmer. A few cards, not a grid. Static under prefers-reduced-motion.

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Clone any website into a pixel-perfect single-file HTML prototype. Extracts design tokens, assets, CSS computed styles, interaction patterns, and content via Playwright. Outputs a self-contained HTML file with real data injection. Use when the user wants to clone, replicate, reverse-engineer, or create a pixel-perfect copy of any website or web app. Provide one or more target URLs as arguments.

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Use when the user asks about Vibe Motion, motion graphics, kinetic typography, animated text, brand animations, logo animations, infographic animation, presentation animation, data-driven video, or prompt-to-motion-graphic workflows. Vibe Motion is fundamentally different from video generation — it creates deterministic code-based motion graphics, not AI-predicted pixel sequences. Use this when the text/logo must stay perfectly crisp and editable (code). For a cinematic/kinetic AI-generated video ad built from a storyboard (pixel render, native audio), use higgsfield-motion-design instead.

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Dung khi phai setup do luong TRUOC khi tieu bat ky dong nao — pixel va CAPI, GA4, UTM convention, event mapping, offline conversion, dong y du lieu, va checklist verify xanh. Kich hoat khi user nhac 'setup tracking', 'cai pixel', 'UTM', 'CAPI', 'do luong chuyen doi', 'so lieu khong khop'. Quy tac cung: khong chay ads khi tracking chua xanh. Khong dung cho — doc data da co ra insight thi dung skill 13-phan-tich-du-lieu; ra soat cau hinh ads thi dung skill 21-audit-ads-performance.

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Generate exactly one finished CRT retro computer-interface illustration from an uploaded portrait, group photo, creature, object, or described theme. Use when the user wants anchored subjects re-authored as an exaggerated circa-1980s bitmap editorial caricature beneath early Macintosh or Minitel-style windows, optionally invoking the exact Chinese presets 街头怪诞, 巨像符号, or 冷面几何. Before generation, collect a named or image-derived palette and aspect ratio through a strict two-stage intake unless supplied. Preserve each intended subject as a distinct identity, one shared pixel lattice, restricted non-skin checkerboard midtones, low-facet geometry, unequal extraction windows, mandatory barrel-curved CRT edges, and the immutable tait-crt-interface-skill title-bar signature. Never trace, auto-pixelate, imitate photographic detail, omit, merge, or duplicate subjects, retry, resize, expose prompts, or ask users to choose a style preset.

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Add, repair, or review Playwright visual regression tests for browser-facing .NET apps, including screenshot baselines, Pixelmatch thresholds, deterministic rendering, and GitHub Actions artifacts. USE FOR: toHaveScreenshot, page.screenshot visual checks, Pixelmatch/pngjs comparison scripts, visual baseline updates, screenshot diff triage, or CI workflows for UI regression screenshots. DO NOT USE FOR: pure unit tests, accessibility audits, browser-debugging sessions, or frontend linting.

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Unified Python framework for extracellular electrophysiology. Load 20+ formats (SpikeGLX, OpenEphys, NWB, Intan, Maxwell, Blackrock), preprocess, run 10+ sorters (Kilosort4, SpykingCircus2, Tridesclous, MountainSort5) via one API, compute quality metrics (SNR, ISI, firing rate), compare sorters, export NWB/Phy. For format-agnostic multi-sorter workflows. For Neuropixels-specific PSTH/decoding use neuropixels.

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Audit Meta Ads measurement, Pixel and Conversions API, attribution, Facebook and Instagram creative, audiences, placements, automation, budgets, account structure, and policy. Use for Meta Ads, Facebook Ads, Instagram Ads, Advantage+, Pixel, CAPI, Events Manager, creative fatigue, or Meta campaign optimization.

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Audit X Ads measurement, X Pixel and Conversions API, campaign objectives, keyword and conversation targeting, creative, budgets, brand safety, app measurement, and reporting. Use for X Ads, Twitter Ads, promoted posts, X Pixel, X Conversions API, conversation targeting, or paid campaigns on X.

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Use this skill when working with RenderDoc capture files (.rdc), analyzing GPU frames, tracing shaders, inspecting draw calls, or running CI assertions against GPU captures. Trigger phrases: "open capture", "rdc file", ".rdc", "renderdoc", "shader debug", "pixel trace", "draw calls", "GPU frame", "assert pixel", "export render target".

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Meta Ads (Facebook & Instagram) platform expertise. Audit campaigns, audiences, creative strategy, pixel tracking, and CAPI. Use when the user asks about Facebook Ads, Instagram Ads, Meta Ads, social media advertising, Advantage+ campaigns, or Meta pixel/CAPI setup.

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Rebuilds an existing website as a clean new codebase that looks and behaves like the original: captures pages, breakpoints, design tokens, assets and interaction states with a browser tool, plans the build, rebuilds section by section and proves each one against the capture with a pixel diff. Use when the user says "clone this website", "rebuild my site in Next.js or Astro", "recreate this page pixel-perfect", "move my Webflow or WordPress site to code" or "copy this layout". Full copies are only for sites the user owns or is authorized to copy; for anyone else's site it borrows the layout ideas and never the brand, content or sign-in pages.

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Compare two images pixel-by-pixel and get a visual diff. Use when the user wants to compare their implementation against a design, spot differences between two screenshots, or verify visual regression.

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Generating pixel-accurate HTML/CSS code from image mockups (PNG/JPG/screenshots) and performing visual verification for faithful reproduction. Use when mockup-to-code generation is needed.

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End-to-end ad conversion tracking: Meta Pixel+CAPI, TikTok Events API, Google Ads Enhanced Conversions, GTM, attribution. Auto-detects industry, maps standard events, outputs a developer-ready implementation doc. Use for pixels, GTM, CAPI, ROAS, or 'set up tracking' requests.

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Set up the local Android Studio, Android SDK, and Pixel emulator workflow for NowStack Mobile, then build and run the Expo Android development app. Use for `/ns setup-android`, `/ns android setup`, Android Studio setup, creating a Pixel AVD, or opening NowStack on Android locally. This is not the Google Play beta or production release flow.

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Use when a PlayCanvas rendering change is meant to leave the image unchanged, to prove it with deterministic captures and pixel comparison.

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Use when importing SAM3 or YOLO tracking CSV files into getpixelvideo, including bbox-to-marker anchor conversion.

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Treino Ultralytics YOLO pose para keypoints do campo de futebol (32 kp), export ONNX, e inferência em vídeo com vaila.soccerfield_keypoints_ai (CSV getpixelvideo + overlay). Use quando o usuário fala em football pitch keypoints, YOLO26 pose, treino Roboflow/HF dataset martinjolif, field_keypoints_getpixelvideo, calibração FIFA, ou soccerfield_keypoints_ai.

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