Video & Animation

Generate expressive narration audio with Gemini TTS, steering emotion per paragraph. Use whenever narration, voiceover, or spoken audio is needed for a video.

Check this machine and install the pinned video toolchain of the Product Video Skills workbench (HyperFrames CLI, its rendering Chrome and its agent skills from the same release, the Python environment, the speech model for QA), then run the self-check. Safe to run again. `/video-setup check` only reports.

Turn a batch of reviewer feedback on the product's videos into one table per video, fix every video that got notes in parallel (one subagent each) while keeping approved parts, re-run QA and parity, bump versions and deliver. Run only when the user types /video-review.

Use when being asked to create an explainer video.

Turn a product's real frontend code into 1:1 rebuild specs for a video, one read-only subagent per screen, each returning static HTML, CSS with every variable resolved to its literal value and cited (role/path:line@sha), every state, transitions with exact durations and easings, icons from the code's own icon sets, and the exact i18n strings; plus resolve_tokens.py to write the product's design tokens to kit/tokens.css. Use it whenever a screen of the product has to appear in a video, when writing or fixing video/src/app.css or the template markup, when someone asks for exact sizes, colors, fonts, paddings, animations or icons of a screen, when a rebuilt screen "looks off" next to the real app, and when the design tokens or theme of a product need extracting. Framework adapters cover Angular with PrimeNG (proven), React, Vue, Tailwind and plain HTML (unproven).

Say where this session stands in the Product Video Skills workbench (setup state, which product and video the current folder belongs to, the stage of every video) and the exact next command to type. Also answers "how do I..." questions about the workbench from its docs.

Compose a narrated product demo in HyperFrames: the stage (the product UI rebuilt at its real viewport and scaled to 1080p, camera, rack focus with veil, chapter titles, cursor and clicks, typing, streaming text, pop-ups, toasts, scrolls, end screen and lockup) and the build.py that anchors every beat to a word of the narration. Use it whenever you write or edit a video's video/build.py, src/template.tpl or src/app.css, place a beat on a word, add a chapter, a click, a pop-up or a push-in, frame a screen, build the end screen or lockup, snapshot setup beats, or render a draft or delivery MP4 of a product video in this workbench. Also use it when someone says "the cursor is off", "too zoomed in", "too fast", "it feels chaotic", "the title flashes", "sync the UI to the voice", or asks for a walkthrough, demo or pitch video of a UI.

Coordinate the build of one or more signed videos of the current product with subagents (source recon, product truth, UI specs, voice, one builder per video), re-run QA itself, then deliver. A light coordinator that never builds itself. Run only when the user types /video-build.

Start a new video of the current product - create videos/<video>/, write BRIEF.md, the feature coverage matrix (COVERAGE.md) and the claims sheet (CLAIMS.md), propose chapters, then stop for the reviewer's sign-off. Never builds. Run only when the user types /video-new.

Write a product video's narration and turn it into voice clips with word timings, pronunciation fixes, sound effects and even loudness. The script becomes a table of moments and then audio/lines.tsv (one clip per sentence, with role and speed columns); tts.py voices it with ElevenLabs or the free macOS say voice, maps brand respellings back to the on-screen spelling, normalizes every clip and writes audio/timings.json for the composer; make_sfx.py builds typing tracks from real keystrokes and places recorded click and pop sounds. Use it whenever a video needs a script, narration, voice-over, lines.tsv, timings.json, TTS, a new take, a voice or casting choice, a pronunciation fix ("it says the name wrong"), a changed sentence, a tone note ("too hype", "sounds cut off"), audio levels, a click at the end of a clip, typing or click sounds, or when the build stage asks for the voice. Also use it for silent loops, which still need a moment table and SFX.

The animation rules that keep HyperFrames' parallel render workers from dropping, flashing or flickering elements, plus a static lint (lint_motion.py) that finds the violations in a video's template before it costs a render. Use it whenever you write or edit GSAP tweens, timelines, cursors, camera moves, typing, scrolls or pop-ups in a HyperFrames composition or a video's src/template.tpl, whenever a render shows flicker, stutter, an element that vanishes on some frames, a title that flashes, or a "WORKER PATTERN" line from scan_render.py or qa.py, and whenever the preview looks right but the MP4 does not. Also use it to review someone else's timeline code before rendering.

Pin a product's source code (read-only exports in sources/ plus sources.lock), confirm that the pinned commit is what runs in production, and map every screen of a video brief to its route, components, i18n strings and state, written to the video's SOURCES.md. Use it whenever a video needs to know where a screen lives in the code, when sources/ is missing or stale, before ui-spec-from-code or product-truth start on a video, after the product's frontend changed ("what changed", "which videos are affected", "refresh the sources", "is this checkout current", "which commit is in prod"), and when there is no code and you need an inventory of the no-code references (recordings, recovered captures, docs) a screen can be rebuilt from.

Interview the user about a product, then create products/<slug>/ with its own git history, a filled product.yaml and linked skills, fetch its sources and build its kit. Run only when the user types /product-new.

Check a rendered product video before anyone else sees it: worker-pattern flicker, black frames, loudness and true peak, clipping, clicks at clip edges, overlapping narration, speech to text against the script, banned terms and legacy names, camera zoom, contact sheets, frame strips at transitions and parity against the approved version; then write qa/REPORT.json, the only thing deliver.py accepts. Use it after every HyperFrames render, whenever someone asks "is the render clean", "QA this", "check the video", "check the audio", "why does it flicker", "there is a click", "compare v3 with v2", "did the approved part change", or before showing, sending, uploading or delivering any MP4, even when the request does not say QA. Also use it to triage a defect a reviewer reported in a render.

TikTok Shop US women's fashion single-person AI video workflow. Use this skill whenever the user provides a women's apparel product and wants to create a single-person TikTok sales video, including styling, scene design, first-frame image design, Seedance video prompts, dialogue, and final quality control.

Back every sentence of a video's narration (audio/lines.tsv) and every screen it shows with a citation into the pinned source code (role/path:line@sha) or a docs URL, mark what is visible in the UI versus backend-only, flag restricted or unreleased features, and cut or rewrite anything unbacked; writes the video's TRUTH.md and checks it with truth_check.py. Use it whenever a script or narration is drafted or edited, before voice is generated, before a build, when someone asks "can we say this?", "is this true?", "does the product really do X?", when a reviewer asks for a feature or a claim the product may not support, and when a source document (pitch deck, PRD, marketing page) makes claims the video wants to repeat.

TikTok竞品洞察分析工具，实时监测竞品流量效果、快速拆解对标竞对作品、精准拆解透视竞品流量及策略、高效搭建关键词库，适用于TikTok品牌方、创作者等进行竞品分析、流量优化和关键词研究。提供3个能力①关键词搜索（可按点赞/相关度排序、发布时间筛选）②博主作品获取，按主页链接或用户名批量获取公开作品列表，支持最新/最热排序 ③视频评论抓取，按视频链接或作品 ID 获取评论内容、评论者与互动数据，输出结构化 JSON（含作者、互动数据、标签、链接）。

Extract, once per product, everything every video of it reuses and write it to kit/ and product.yaml (design tokens, font subsets as woff2, icon subsets as SVG from the product's own icon packages, logos in light, dark and app-tile variants from the repo, a fictional cast proposed once for veto and then frozen, the canonical-names map, pronunciations, banned terms and the read-only tool list). Use it when a product is set up or its kit is missing or incomplete, when a video needs an icon, font or logo that is not in kit/ yet, when someone asks for demo names, fake customers, phone numbers or emails, when a brand word is mispronounced or an old product name shows up, and when checking that demo data is fictional.

Grok Build only. Turn a 2D character still into denser animation sprites via imagine_text_to_image base → imagine_image_to_video (6s/10s run-in-place) → ffmpeg frames → magenta chroma-key → dense sampled strips/grids/GIFs. Use when the user wants video-to-sprite, smoother run/walk cycles, or denser intermediate poses. Prefer generate2dsprite for crisp production pixel sheets. Triggers on "video to sprite", "imagine_image_to_video sprite", "dense walk cycle", "smooth run animation from video".

Call the xAI API (Grok) from this app's server code using the injected XAI_API_KEY: chat/LLM features, image and video generation (Imagine), and voice (text-to-speech). Use when the app needs any "AI" / "assistant" / "chatbot" / "Grok" functionality, runtime image/video generation, or speech. Triggers on "AI", "LLM", "chatbot", "assistant", "Grok", "xAI", "generate text", "summarize", "generate image", "AI video", "voice", "text to speech", "TTS", "OpenAI" (use xAI instead).

Use Neon Postgres (the database) in this TanStack Start app. Use when the app needs to store or query data, persist state, or keep per-user data. Triggers on "database", "Postgres", "Neon", "save data", "store data", "persist", "tables", "SQL", "query", "migrations".

Generate and postprocess 2D game sprites and animation sheets: pixel-art characters, NPCs, creatures, spells, projectiles, impacts, props, summons, and transparent PNG/GIF exports. Use when building browser games that need real sprite sheets (not code-drawn placeholders), matching a map art style, or producing magenta-background sheets for chroma-key cleanup. Triggers on "sprite", "sprite sheet", "animation sheet", "pixel art character", "walk cycle", "attack animation", "projectile sprite", "2D game asset".

Share-link previews and app identity for apps on *.grok.me: the injector-owned og:image card, the SVG favicon, and PWA icons for installable apps. Use when scaffolding, renaming, or restyling the app — and for share / unfurl / OG / Twitter card questions. A custom 1200×630 card from the app's own art is the default — games of every kind (DOM board/word games included), whimsical apps, creative tools, and brand-forward pages; only plain utilities keep the placeholder. Always run the brand-asset pass as a `task` subagent and never wait for it. Triggers on "share", "rename", "app name", "OG", "Open Graph", "twitter card", "unfurl", "og:image", "og:type", "x:game:image", "x-banner", "link preview", "social card", "thumbnail", "preview image", "favicon", "app icon", "PWA", "manifest", "installable", "home screen", "SEO", "meta description".

Official Three.js API and TSL (Three.js Shading Language) reference for LLM code generation. Load when writing or debugging three.js / WebGL / WebGPU / custom materials / shaders / GLTF / advanced three APIs beyond basic game loop/controls. Prefer building-games for game correctness (loop, WASD, camera, orientation); use this skill for full API/TSL depth. Triggers on "three.js", "threejs", "WebGPU", "TSL", "NodeMaterial", "shader", "GLTF", "MeshStandard", "OrbitControls", "WebGLRenderer".