app-icon-generator

Audit and manage the in-app localization of a Capacitor / web-shell app, whose UI strings live in JavaScript and HTML rather than in .strings, .xcstrings or strings.xml. Use whenever such an app needs a language checked, added or fixed, when a screen shows the wrong language or an empty label, when asked to find untranslated or hardcoded UI text, or when handling RTL in a bilingual app ("שפה לא נכונה", "תרגום באפליקציה"). It finds the failure this architecture hides: a lookup that falls back instead of failing, so a missing translation ships silently as the wrong language. For an Xcode project whose strings really are in String Catalogs, use localization-i18n instead — that skill has nothing to work on here. It covers the web layer's strings; native Apple localization is localization-i18n's job.

Tighten existing product copy — App Store / Google Play listing text, marketing and product sites, README marketing sections, in-app strings, replies to store reviews — when it reads clumsily: long sentences, stacked clauses, the same point made twice, throat-clearing openers, jargon the buyer does not know, or a translation that reads as a translation rather than as the language. Use when the user says copy is convoluted, wordy, clunky, unprofessional, hard to read, sounds machine-written, "מסורבל", "מנוסח רע", "נשמע כאילו מודל כתב", or asks to rewrite, tighten, sharpen or polish existing text in any language. This skill EDITS text that already exists; it does not decide what to say. Run it before delivering copy to a store or deploying a site.

Build an app's product profile — the one document every piece of copy about it is later derived from: store listings, site pages, campaigns. Use when onboarding a new app, before writing any copy for it, or when the user asks to "analyze my app", "write up what my app does", "build the marketing profile", "document the app's advantages" ("נתח את האפליקציה", "בנה פרופיל"). It reads the app's source like a product analyst, interviews the owner for what code cannot reveal, researches the real competitors, and proposes a feature and advantage list for the owner to edit before anything is written. Writes `profile.md`, an owner-facing translation beside it, and prepares the media folder. It does NOT capture media (appstore-media does), does NOT write store listing text (store-metadata-writer does), and never writes the app's name or subtitle — those live in the app's README, owned by app-identity.

Decide an app's NAME for both stores, and own the project README as the source of truth for the name, subtitle / short description, and detected feature list. Use when the user wants to name or rename an app, asks "what should I call my app", wants to change the name under the icon or in a store listing, or wants the README's feature list written or refreshed ("תן שם לאפליקציה", "עדכן את ה-README"). Run it when the app is feature-complete, and always BEFORE app-store-metadata, play-store-metadata, aso-keywords and appstore-media, which all read the name and feature list from here. It scans the code for features and monetization, proposes ASO-aware candidates, and DISCUSSES them: it never picks a name on its own. Once decided it writes the display name into the Apple build settings and into Android's strings.xml, and owns the README's version label and changelog. It does NOT write the store metadata files or the keyword field — app-store-metadata, play-store-metadata and aso-keywords own those.

Set up the app factory in a repo, or say why its skills are not loading. Use when a store or release skill that should exist is missing, when the user asks "why aren't the skills loading here", "set up the factory", "enable the tracks", "which tracks does this repo need" ("למה אין לי את הסקילים", "תפעיל את המסלולים"), or after installing the marketplace for the first time. It reads the repo to decide what it is, proposes the tracks that follow, and writes the repo's own .claude/settings.json. It does NOT install plugins, does NOT change the machine's global settings, and does NOT commit — enabling a track is a fact about one repo.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling or beautifying any web UI; "תעצב את הדף", "שפר את העיצוב"). Generates creative, polished code and UI design that avoids generic AI aesthetics. It does NOT decide a page's structure — `page-builder` does that first — and does NOT audit the result (`web-design-guidelines`).

Verify an Apple app is submission-ready and ship it — the FINAL App Store / Mac App Store step: confirm the content is already in place (signing, compliance, metadata, screenshots, app record), then archive, upload, complete the App Store Connect website steps, and submit. Use this when the user wants to release, publish, submit or upload an iOS or Mac build ("תעלה לאפסטור", "תשלח לבדיקה"), asks "how do I upload or submit to the App Store", or is at the end of the process and wants the verify → upload → submit checklist. This skill does NOT produce the listing copy, screenshots, compliance fixes, or signing — those are owned by their focused skills (app-store-metadata, appstore-media, app-store-review-compliance, apple-credentials, code-signing-provisioning). It VERIFIES their output is present and valid, then builds, uploads, and submits (including the website-only steps fastlane can't do).

Set up direct (outside the Mac App Store) distribution for a macOS Xcode app: a dedicated "Direct" target — sandbox off, hardened runtime on, a DIRECT flag, direct-only frameworks linked to it alone — wired to Sparkle auto-updates with EdDSA signing keys, a SUFeedURL, a "Check for Updates" menu item and an appcast signing script — and, for selling that build, a licence key from a hosted checkout, kept out of the App Store build. Use whenever the user wants automatic updates for a Mac app sold outside the App Store ("הפצה ישירה", "עדכונים אוטומטיים"), add Sparkle, create a second non-MAS target alongside an App Store build, set up an appcast, sell the direct build with a licence key ("מפתח רישיון", Lemon Squeezy), or ask how to keep Sparkle or licensing out of the App Store build. Pairs with `notarize-and-distribute`, which builds the signed DMG this skill's appcast points at.

Read first to make, edit, animate or render any video with HyperFrames (HTML rendered to video), including launch films, explainers, music videos, charts, maps, vertical clips, title cards, captions and overlays. Holds the render contract, the work loop and what each kind of video needs.

Get or make any media for a HyperFrames video - music, sound effects, images, icons, logos, voiceover, avatar and generated video, transcripts, cutouts, colour grades and looks - with HeyGen or free local tools, and mix placed audio. Also for footage that looks dark, flat or dull, or should be stylized or hidden.

Design mobile app screens with Sleek, edit Sleek projects, and implement their designs in React Native or HTML.

A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.

Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse

Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image

Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars, NPC dialogue. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human, ugc, ugc video, ugc ad, avatar ugc

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.