higgsfield-motion-design
End-to-end motion-design / animated-ad creation flow on Higgsfield via the MCP connector. Use when the user wants to create motion design, animate a logo, make a video from an image, build an animated ad or brand promo, turn a product into motion, or says 'make a motion', 'motion design', 'animate this', 'make a video from my logo', 'animated brand', 'motion graphics', 'brand motion', 'kinetic graphics', 'promo video', or 'ad video'. Drives a storyboard-first pipeline: brief → storyboard sheet (GPT Image 2) → video (Seedance 2.0) — an AI-generated pixel video clip. Distinct from higgsfield-motion (the named camera/motion preset library) and from higgsfield-vibe-motion (deterministic Remotion code with crisp text); use vibe-motion instead when the text/logo must stay perfectly crisp, editable, and deployable as code.
git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill /tmp/higgsfield-motion-design && cp -r /tmp/higgsfield-motion-design/skills/higgsfield-motion-design ~/.claude/skills/higgsfield-motion-designSKILL.md
# Higgsfield Motion Design A full motion-design creation flow run through the Higgsfield MCP connector. Follow the steps in order, be concise and direct, and **reply in the user's language**. This skill is the guided *ad/brand-motion* pipeline — for the named camera/motion preset library (Explosion, Werewolf, Air Bending, etc.) use `higgsfield-motion` instead. > **Not a spec sheet.** Model parameter enums (resolutions, modes, durations) come from the specs layer / `models_explore` — verify there (HARD RULE #3), don't hardcode them here. ## QUICK FACTS - Two flows: **classicMD** (smooth, elegant, cinematic) vs **highMD** (fast cuts, extreme dynamics, CGI energy) — pick before anything else [→](#step-0-determine-the-flow-type) - Ask **all** brief questions in ONE message — never split intake into rounds [→](#step-1-brief-intake-one-message) - Storyboard = **one** image: a single grid sheet with all N panels via GPT Image 2 — never N separate images [→](#step-3-generate-the-storyboard) - Final video = **Seedance 2.0** (`seedance_2_0`); confirm the model id with `models_explore` if unsure [→](#step-4-generate-the-video) - highMD rule: no realistic humans — silhouettes, chrome figures, or 3D abstract shapes only [→](#notes-rules) - highMD rule: the logo lock is a static hold proportional to clip length (~1s / ~2s / ~2–3s for 5 / 10 / 15s) [→](#step-4-generate-the-video) --- ## STEP 0 — Determine the flow type Identify which workflow applies before anything else: - **classicMD** — standard ads, brand promos, service presentations, logo reveals, general atmospheric content. Smooth transitions, elegant typography, cinematic feel. - **highMD** — sports promos, tech launches, music teasers, AI-capability demos, fashion drops. Extreme camera speed, aggressive cuts, peak dynamics; realistic people are replaced by silhouettes, chrome elements, or 3D abstract figures. If the request makes the flow obvious, proceed silently. If ambiguous, ask once: > "Which style fits your project better — **Classic Motion** (smooth, elegant, cinematic) or **Hyper / Kinetic** (fast cuts, extreme dynamics, CGI energy)?" --- ## STEP 1 — Brief intake (one message) Ask all of these in a **single** message (never split into rounds). Save every answer before proceeding: 1. **Existing assets?** — Yes (upload logo / product photo / reference) · No (help me create the visual) 2. **Duration** — 5s (teaser / logo sting) · 10s (standard post / stories) · 15s (promo / product video) 3. **Frame format** — 16:9 (horizontal) · 9:16 (vertical Reels/TikTok/Stories) · 1:1 (square feed) 4. **Mood / style** *(free input)* — e.g. energetic, minimalist, luxury, technological, atmospheric, aggressive, cinematic 5. **Brand / product name and tagline** *(if any)* 6. **Storyboard frames** — 6 (standard) · 8 (detailed) · 9 (maximum coverage) --- ## STEP 2 — Asset handling **If the user HAS assets:** when the client is an Apps UI-capable surface, call `media_upload_widget` immediately so they can attach the local file (remote MCP cannot read chat attachments). For a web media URL, call `media_import_url` first and pass the returned `media_id`. Then proceed to Step 3. **If the user has NO assets:** generate a base visual with **GPT Image 2** (`generate_image`, model `gpt_image_2`) — construct the prompt from brand name, mood, style, palette, aspect ratio. Display the result with `job_display`, ask "Does this work or want changes?", regenerate if needed, then proceed once approved. --- ## STEP 3 — Generate the storyboard The core creative step. Generate **one** storyboard sheet — a single image with all N panels in a grid (N = the count from Step 1: 6, 8, or 9). Do **not** generate N separate images. Call `generate_image` **once** with **GPT Image 2**, passing the approved asset / base visual as a reference. Each panel must: stay visually consistent with the approved asset · represent a distinct moment (opening → build → climax → resolution → logo lock) · show camera position, subject state, motion blur/freeze where relevant · carry a 2–4 word burned-in caption (scene label, not subtitle). - **classicMD panels:** smooth compositions, elegant typography zones, cinematic lighting. - **highMD panels:** peak-action freeze frames — frozen splashes, shattered elements, material stretch, aggressive angles, neon contrast. Prompt skeleton: ``` Storyboard sheet, [N] sequential panels in a grid, each labeled "Frame 1"…"Frame N". Panel 1: [scene]. Panel 2: [scene]. … Panel N: [logo lock / brand name]. Each panel: [camera angle], [motion state], [mood/lighting]. Style: [cinematic / kinetic]. Consistent color palette throughout. Clean storyboard design, thin borders between panels. ``` Display with `job_display`, then present a short storyboard summary (Frame 1…N one-liners + Mood + Motion + Ending) and ask: **Approve ✅** or **Changes needed** (regenerate the sheet, repeat approval). --- ## STEP 4 — Generate the video Once the storyboard is approved, generate the final video with **Seedance 2.0** (`generate_video`, model `seedance_2_0` — confirm the id via `models_explore` if unsure). Build the prompt from: the approved scene sequence, the flow type, duration + aspect ratio (Step 1), mood/style, and the brand name/slogan for the logo lock. - **classicMD:** `smooth motion design, [scene flow], elegant transitions, [mood] atmosphere, cinematic camera movement, [duration]s, brand reveal at end: [brand], [aspect ratio]` - **highMD:** `high-intensity kinetic motion, [scene flow], extreme camera speed, aggressive match-cuts, peak-action freeze frames, [mood] CGI aesthetic, neon contrast, [duration]s, hard-stop logo lock: [brand], [aspect ratio]` For highMD, the final seconds must be a **static hold** on the brand/logo — build it into the prompt explicitly, scaled to clip length (~1s for 5s, ~2s for 10s, ~2–3s for 15s). Pass as the start frame: the original uploaded asset if the user had one, otherwise the first approved storyboard frame's
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Writes the character-performance layer of a video prompt as behavior under pressure, not displayed emotion — objective, obstacle, tactics, beats, subtext, listening, body/status/proxemics, and mandatory eye life. Produces a reusable 150–220-word acting master profile per character plus a per-scene rewrite of it, and a locked voice prompt. Use whenever a prompt needs acting, performance, or emotion direction; whenever characters read wooden, dead-eyed, or 'AI'; whenever a character must stay themselves across many shots; or when the user asks for character behavior, mannerisms, tics, a gait, or how someone reacts. Pairs with higgsfield-facs (muscle-level AU codes) and higgsfield-seedance (the prompt the paragraph goes into).
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Use when the user mentions Higgsfield Canvas, a node-based or node graph workspace, an infinite board/canvas, chaining generations into a pipeline, or wants to wire prompts → images → videos across models on one surface. Covers what Canvas is, the node categories, the seven models that run inside Canvas, the named canvas patterns (Simple Seedance, Extend Video, Image Edit, StoryBoard With Elements, Long Video fan-out), the build-free / generate-paid cost model, reusable templates, assets-as-nodes, and Shared Canvas live collaboration. Also trigger on 'Higgsfield ComfyUI alternative', 'node workflow', or 'connect nodes to build a scene/campaign'.
Pre-production story-and-character development for Higgsfield projects — the upstream layer that decides WHAT to prompt before any model runs. Use when the user wants to build a character, design a world, develop a story or premise, create a character sheet / character bible / story bible, lock a visual style or 'visual DNA', plan a multi-shot narrative with consistent characters, or says things like 'help me design a character', 'build the world', 'I need a backstory', 'make this character consistent across shots', 'develop my film/series concept', or 'I keep getting generic AI characters'. Routes the locked outputs into higgsfield-prompt + the right model. Adapted from Higgsfield's official character-design framework by @vavavinca.