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/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',

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higgsfield-ai-prompt-skill
27632 skills2 commands
Install
$ npx -y skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-motion-design --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/higgsfield-motion-design

Context preview

The summary Claude sees to decide when to auto-load this skill.

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',

SKILL.md

higgsfield-motion-design.SKILL.md
name: higgsfield-motion-design
description: "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."
user-invocable: true
metadata:
  tags: [higgsfield, motion-design, animated-ad, logo-animation, brand, motion-graphics, storyboard, classicMD, highMD]
  version: 1.0.1
  updated: 2026-06-22
  parent: higgsfield

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, r

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Ships withhiggsfield-ai-prompt-skill

A comprehensive Claude skill library for generating high-quality prompts on Higgsfield AI — the cinematic video and image generation platform.

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Repo: OSideMedia/higgsfield-ai-prompt-skill