Super Video Maker
Bomx/super-video-maker-skill
End-to-end AI video production skill for agentic frameworks.
End-to-end motion-design / animated-ad creation flow on Higgsfield via the MCP connector.
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-motion-design -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-motion-design --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/higgsfield-motion-design .claude/skills/higgsfield-motion-design && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "higgsfield-motion-design" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion-design into .claude/skills/higgsfield-motion-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-motion-design", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion-designType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-motion-design -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-motion-design --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/higgsfield-motion-design .agents/skills/higgsfield-motion-design && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "higgsfield-motion-design" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion-design into .agents/skills/higgsfield-motion-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-motion-design", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-motion-design -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-motion-design --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/higgsfield-motion-design .cursor/skills/higgsfield-motion-design && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "higgsfield-motion-design" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion-design into .cursor/skills/higgsfield-motion-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-motion-design", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git --path skills/higgsfield-motion-design--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-motion-design -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-motion-design --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/higgsfield-motion-design .gemini/skills/higgsfield-motion-design && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "higgsfield-motion-design" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion-design into .gemini/skills/higgsfield-motion-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-motion-design", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-motion-designInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-motion-design -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/higgsfield-motion-design .github/skills/higgsfield-motion-design && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "higgsfield-motion-design" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion-design into .github/skills/higgsfield-motion-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-motion-design", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-motion-design -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-motion-design --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/higgsfield-motion-design .opencode/skills/higgsfield-motion-design && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "higgsfield-motion-design" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion-design into .opencode/skills/higgsfield-motion-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-motion-design", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
higgsfield-motion-designEnd-to-end motion-design / animated-ad creation flow on Higgsfield via the MCP connector.
Higgsfield Motion Design is an agent skill from OSideMedia/higgsfield-ai-prompt-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', '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) →…
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Motion graphics, Video production and AI video generation. It works with Seedance and Remotion. The repository describes itself as: Claude AI skill for cinematic Higgsfield AI prompts — 32 sub-skills covering Seedance 2.5 (omni-reference, video edit + extend) and 2.0, the Hell Grind feature-film pipeline, an… The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7075497. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Higgsfield Motion Design loads about 2.3k tokens when it runs. Until then it costs about 213 tokens; SKILL.md has 1,037 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from OSideMedia/higgsfield-ai-prompt-skill at commit 7075497, republished under its MIT licence (© OSideMedia). 1,037 words, ~2,323 tokens.
.claude/skills/higgsfield-motion-design/SKILL.md (or your agent's skills folder).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.
seedance_2_0); confirm the model id with models_explore if unsure →Identify which workflow applies before anything else:
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)?"
Ask all of these in a single message (never split into rounds). Save every answer before proceeding:
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.
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).
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).
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.
smooth motion design, [scene flow], elegant transitions, [mood] atmosphere, cinematic camera movement, [duration]s, brand reveal at end: [brand], [aspect ratio]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 job id. Seedance 2.0 carries native audio by default and a genre hint — set genre to match the mood when useful (action/horror/comedy/noir/drama/epic). Display with job_display.
Resolution note: Seedance 2.0 reaches 4K only in
mode=std;mode=fastcaps at 720p. Seehiggsfield-seedance/ the specs layer.
Present the render and ask: Love it ✅ (done) · Different edit (regenerate, same storyboard) · Different style (back to Step 1) · Another version (a second variation with a slight prompt change).
gpt_image_2). Video model: Seedance 2.0 (seedance_2_0).generate_image, generate_video, job_display, media_upload_widget, media_import_url, media_upload / media_confirm, models_explore, balance — confirm exact ids with tool search if unsure. Check credits with balance if the user seems concerned about usage.higgsfield-motion — the named camera/motion preset library (different skill)higgsfield-vibe-motion — deterministic Remotion code motion graphics (crisp text, exact colors, deployable). Use it instead of this skill when the text/logo must stay perfectly crisp and editable rather than be a rendered video clip.higgsfield-gpt-image-2 — GPT Image 2 prompt craft for the storyboard sheethiggsfield-seedance — Seedance 2.0 prompt formula, modes, and preflight linterhiggsfield-marketing-studio — one-click product-ad surface (alternative to this manual flow)higgsfield-apps — MCP connector tooling (media upload, job display, balance)© OSideMedia, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/higgsfield-motion-design of OSideMedia/higgsfield-ai-prompt-skill.
Open the folder on GitHubat commit 7075497
Higgsfield Motion Design next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Higgsfield Motion Design this skillOSideMedia/higgsfield-ai-prompt-skill | 713 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Super Video MakerBomx/super-video-maker-skill | 310 | — | ~11k | Automated safety check: Notes | None | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Anything2explainerVincentwei1021/anything2explainer | 2.4k | — | ~2.7k | Automated safety check: Pass | Custom licence | |
| Remotion Motion Graphicshaidrrrry/claude-remotion-skill | 340 | — | ~2k | Automated safety check: Pass | MIT | |
| Remotion Ad Videoleosssvip-dot/remotion-ad-video-skill | 111 | — | ~6.3k | Automated safety check: Pass | MIT |
Bomx/super-video-maker-skill
End-to-end AI video production skill for agentic frameworks.
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
Vincentwei1021/anything2explainer
给一个主题,产出一条黑底 MG 风格(幕底可选星点或点阵波)、有配音字幕章节进度条的科普讲解视频(中文或英文;Remotion 代码动画;时长由用户定,常用 3–5 分钟)。内含可编译模板、图元库、配音/分镜/渲染工具、风格与动效规范、多 agent 分工协议与 QC 判据,以及一条完整样片(《RAG 与知识库》)作为质量标尺。Turn any topic into a narrated…
haidrrrry/claude-remotion-skill
Create and edit professional motion graphics videos with Remotion (React-based video).
leosssvip-dot/remotion-ad-video-skill
A skill your agent uses when turning product links, app store listings, landing pages, or product briefs into advertising videos with Remotion or Hyperframes projects, storyboards, render-engine…
Nexus-JPF/note-companion
When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks.
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano…
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses when the user asks about Higgsfield Assist (the built-in GPT-5 copilot), how to use the platform's native AI assistant, credit optimization strategies, plan selection, how to…
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses when the user wants to generate a cinematic still image on Higgsfield, asks about shot framing, camera angle, or composition for image prompts, needs a specific shot type…
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses when the user asks about Mixed Media, wants to apply artistic preset styles to an image (Noir, Sketch, Paper, Canvas, Particles, Neon, etc.), combine multiple artistic…
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses when the user asks about Moodboard, building a moodboard from reference images, curated moodboard presets, Soul Hex color transfer, applying a visual style direction to…
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses when the user wants to apply a named Higgsfield motion preset, asks about VFX presets, transformation effects, elemental effects, or transition presets.
Categories
End-to-end motion-design / animated-ad creation flow on Higgsfield via the MCP connector. Higgsfield Motion Design is an agent skill from OSideMedia/higgsfield-ai-prompt-skill. End-to-end motion-design / animated-ad creation flow on Higgsfield via the MCP connector.
Higgsfield Motion Design fits situations like: the user wants to create motion design; make a video from an image; build an animated ad; turn a product into motion.
Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-motion-design -a claude-code`. Or copy the skill folder (skills/higgsfield-motion-design in OSideMedia/higgsfield-ai-prompt-skill) into .claude/skills/higgsfield-motion-design in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-motion-design -a codex`. Or copy the skill folder (skills/higgsfield-motion-design in OSideMedia/higgsfield-ai-prompt-skill) into .agents/skills/higgsfield-motion-design in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-motion-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/higgsfield-motion-design, .gemini/skills/higgsfield-motion-design, .github/skills/higgsfield-motion-design and .opencode/skills/higgsfield-motion-design in your project.
SKILL.md names no scripts, command-line tools or credentials: Higgsfield Motion Design is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Higgsfield Motion Design is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Higgsfield Motion Design: Super Video Maker (Bomx/super-video-maker-skill, 310 stars), HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars), Anything2explainer (Vincentwei1021/anything2explainer, 2.4k stars) and Remotion Motion Graphics (haidrrrry/claude-remotion-skill, 340 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
OSideMedia (a GitHub user) maintains it in OSideMedia/higgsfield-ai-prompt-skill, which has 713 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on September 27, 2026.
Source: OSideMedia/higgsfield-ai-prompt-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.