anthropics/skills180kwebapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
浏览器自动化
Assemble a viral iOS "AirDrop" notification-carousel video ad (≈6–8s, 9:16) from a brand line plus 6–16 real product photos — a native AirDrop share-sheet card ("Brand would like to share a ___ · Decline / Accept") springs up and its preview window CYCLES through the products, landing on a range/lineup payoff with an Accept tap; a chime + soft per-swap ticks track the swaps. DETERMINISTIC assembly — an HTML card (real DOM text) rendered to PNG via headless Chrome, chroma-keyed, its magenta window refilled per-product in PIL, then animated + audio-synthed with FFmpeg. FREE (no paid model calls); the recipe supplies the brand line, product images, and payoff and gates the only optional paid step (a hero shot when the brand has NO usable photo → create-image-fal). Use for the airdrop-notification-carousel format.
把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。
读取 https://funcoding.ai/skills/gooseworks-ai/goose-skills/render-airdrop-carousel/install.md ,按里面的步骤帮我安装这个 Skill。
The free, deterministic renderer for the airdrop-notification-carousel video ad format — the viral iOS "AirDrop" trend where a native share-sheet card ("Brand would like to share a candle · Decline / Accept") springs up on the phone and its preview window flips through a carousel of real product photos, landing on a range/lineup payoff with an Accept tap.
This is a DETERMINISTIC composite — no generative video, no AI-rendered product.
A real-DOM AirDrop card is rendered once to PNG (headless Chrome), chroma-keyed, and
its preview window is refilled per-product in PIL, then animated + audio-synthed with
FFmpeg. The whole point of the format is crisp system-UI text and real product
photography, both of which a video model would smear. This capability makes no paid
calls; the recipe gates the only optional paid step — generating a hero product shot
when the brand has NO usable photo at all (→ create-image-fal).
Default output ≈ 6–8s, 1080×1920, h264 + aac. Duration is DERIVED, not trimmed —
first_hold + (N-1)·per + final_hold. Add images or raise per to lengthen.
scripts/build_card.py — brand params → chrome.html + chrome-pressed.html: the
AirDrop card on a green page (#00e000) with a magenta preview window
(#ff00ff) and a solid brand band (wordmark SVG or text + tagline). Real DOM text —
AirDrop, Decline, Accept, and the brand line are DOM/SVG, never AI-rendered.scripts/one_shot.py — glue: build_card → headless-Chrome (Playwright) fullPage
screenshot of both card states → compose_carousel. One --config, one MP4.scripts/compose_carousel.py — the render engine: green-key the card → detect the
magenta window → fill it per-product (cover-crop) → blurred per-product backdrop +
push-in → card spring-up (iOS ease-out-back) + carousel + Accept tap → synth audio
(whoosh on entry, chime on land, a tick per swap, a pop on the tap) → encode h264+aac.scripts/config.example.json — the shape of the brand config the recipe binds
(brand-neutral worked defaults; replace every /abs/path/... placeholder).message, the product images + order, the final_image payoff, and timing.per
(pace).brand, wordmark_svg, tagline (a real stated proof
point only), accent and band_color. If not passed, the scripts fall back to a
neutral iOS blue #0A84FF / light grey #F2F2F7 — pass the brand's own colors.#00e000 green = page background, keyed to the card's alpha. #ff00ff magenta
= preview window, replaced per product. Neither color may appear in the card art or
any product photo — a product image containing near-pure green or magenta gets
keyed/misread. Swap the image or tighten the window_mask thresholds if it bleeds.
final_image) should
read as "the whole line" (lineup / family / all-shades).1M+ sold tagline must be the brand's OWN stated figure,
not filled from a brand-kit proof section.per; never cut the audio.numpy + Pillow, and ffmpeg/ffprobe on PATH.pip install playwright && playwright install chromium). If Playwright is unavailable, run build_card.py, screenshot
chrome.html / chrome-pressed.html (fullPage) → chrome-green.png /
chrome-green-pressed.png via the chrome-devtools MCP, then call compose_carousel.py
directly.watch (QC the final master). The recipe gates create-image-fal (optional hero shot
when the brand has NO usable product photo) — the only paid, proxy-routed step.
anthropics/skills180kToolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
浏览器自动化
addyosmani/agent-skills103kTests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
浏览器自动化
ComposioHQ/awesome-claude-skills77kToolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
浏览器自动化
code-yeongyu/oh-my-openagent70kDrives a real browser through the omowright library from the js eval kernel: sites the user is already signed into, forms and clicks, JS-rendered pages, screenshots, web QA, extension popups, a human handoff for login, CAPTCHA or OTP, and a browser you own for scraping, bot-scored targets, network capture and QA traces. Use for any interactive browser task; not for a plain search or an unblocked static fetch.
浏览器自动化
shanraisshan/claude-code-best-practice67kBrowser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
浏览器自动化
CherryHQ/cherry-studio52kRun Cherry Studio critical-path system regression tasks through the repository-owned Playwright E2E workflow. Use for full regression, release acceptance, development-branch system validation, or a named cherry-regression-test task on GitHub-hosted macOS and Windows runners.
浏览器自动化