Seedance
songguoxs/seedance-prompt-skill
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…
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.
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-motion -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-motion --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 .claude/skills/higgsfield-motion && 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" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion into .claude/skills/higgsfield-motion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-motion", 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-motionType 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 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-motion --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 .agents/skills/higgsfield-motion && 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" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion into .agents/skills/higgsfield-motion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-motion", 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 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-motion --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 .cursor/skills/higgsfield-motion && 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" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion into .cursor/skills/higgsfield-motion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-motion", 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--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 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-motion --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 .gemini/skills/higgsfield-motion && 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" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion into .gemini/skills/higgsfield-motion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-motion", 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-motionInstalls 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 -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 .github/skills/higgsfield-motion && 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" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion into .github/skills/higgsfield-motion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-motion", 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 -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 --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 .opencode/skills/higgsfield-motion && 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" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-motion into .opencode/skills/higgsfield-motion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-motion", 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-motionA 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.
Higgsfield Motion is an agent skill from OSideMedia/higgsfield-ai-prompt-skill. Use when the user wants to apply a named Higgsfield motion preset, asks about VFX presets, transformation effects, elemental effects, or transition presets. Contains the full named preset library with descriptions and prompt usage.
Its SKILL.md is about 5k 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 AI video generation. It works with Seedance. 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.
4 steps, taken from the first numbered list 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 loads about 5k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 2,417 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). 2,417 words, ~4,993 tokens.
.claude/skills/higgsfield-motion/SKILL.md (or your agent's skills folder).Higgsfield has 100+ named motion presets. Reference them by exact name in your prompt and the platform applies the preset's signature effect. Think of these as VFX macros — one name triggers a complete pre-built visual effect.
Scope caveat
[FIELD — 13-project community harvest + live preset-catalog pull, both 2026-07-18]: motion presets are the viral-effects / social product, not the film grammar. None of the 13 harvested community film/ad productions used a single motion preset — serious film work free-prompts its camera through Cinema Studio / Seedance block briefs (../higgsfield-camera/SKILL.md,../higgsfield-seedance/SKILL.md). Separately, the live catalog pull showed ~100 unique preset names expanded into ~1,900 per-model variants (kling / higgsfield / wan / minimax / seedance families with baked params); category weights at pull time skewed to effects/viral/vfx/ugc. Route preset requests here as ever — but don't steer a filmmaking request into presets when free-prompted camera language is the production-proven path.
How to use in a prompt:
[Your scene description.] Apply the [Preset Name] preset.| Preset | What it does | Best for |
|---|---|---|
| Animalization | Subject transforms into an animal | Werewolf, shapeshifter, fantasy |
| Werewolf | Human-to-werewolf transformation sequence | Horror, fantasy, supernatural |
| Cyborg | Subject gains mechanical/cybernetic components | Sci-fi, body augmentation |
| Turning Metal | Subject or object transforms into metal | Sci-fi, industrial, transformation |
| Disintegration | Subject breaks apart into particles | Dramatic death, magic, sci-fi |
| Gas Transformation | Subject dissolves into gas or smoke | Mystery, supernatural, horror |
| Clone Explosion | Subject multiplies and explodes outward | Action, surreal, energetic |
| Monstrosity | Subject transforms into a monstrous form | Horror, dark fantasy |
| X-Ray | Subject shown with visible internal structure | Medical, sci-fi, surreal |
| Freezing | Subject or scene freezes into ice | Winter, magic, time-stop |
| Tattoo Animation | Tattoos on skin come alive and move | Artistic, body art, fantasy |
| Hair Style | Subject's hair rapidly changes style | Fashion, fun, transformation |
| Luminous Gaze | Eyes emit powerful glowing light | Supernatural, power awakening |
| Black Tears | Subject cries dark/black tears | Emotional horror, dark drama |
| Head Off | Subject's head appears separated from body | Surreal, horror, dark humor |
| Head Explosion | Subject's head explodes dramatically | Action, horror, surreal |
| Duplicate | Subject is duplicated/cloned in frame | Surreal, sci-fi, artistic |
| Ghoulgao | Subject transforms into a ghoul | Halloween, horror |
| Preset | What it does | Best for |
|---|---|---|
| Air Bending | Subject controls and bends air currents | Fantasy, martial arts, elemental |
| Water Bending | Subject controls flowing water | Fantasy, elemental, mystical |
| Earth Wave | Ground ripples and waves like water | Earthquake, power, epic |
| Fire Element | Fire surrounds or emanates from subject | Action, elemental, power |
| Water Element | Water surrounds or flows around subject | Mystical, elemental |
| Earth Element | Earth/rock forms around subject | Fantasy, elemental warrior |
| Air Element | Air currents visibly swirl around subject | Elemental, windmaster |
| Firelava | Fire and lava merge in the scene | Volcanic, epic destruction |
| Explosion | Large-scale explosion effect | Action, war, destruction |
| Building Explosion | Entire building explodes | Disaster, action blockbuster |
| Plasma Explosion | Subject or object explodes in plasma | Sci-fi, energy weapon hit |
| Atomic | Nuclear-scale blast and shockwave | Post-apocalyptic, epic |
| Flame On | Subject ignites and burns without harm | Superhero, elemental, fantasy |
| Flame Transition | Fire sweeps across frame as transition | Action transition, drama |
| Northern Lights | Aurora borealis fills the sky | Nature, mystical, atmospheric |
| Nature Bloom | Flowers and plants rapidly bloom | Spring, life, time-lapse feel |
| Preset | What it does | Best for |
|---|---|---|
| Raven Transition | Dark, dramatic wipe transition | Horror, thriller, intense drama |
| Splash Transition | Water splash sweeps across frame | Aquatic, fresh, energetic |
| Flame Transition | Fire sweeps across frame | Action, intensity |
| Melt Transition | Scene melts away into the next | Surreal, dreamy, artistic |
| Smoke Transition | Smoke fills frame then clears to new scene | Mysterious, atmospheric |
| Seamless Transition | Clean invisible cut between scenes | Any genre, professional |
| Jump Transition | Quick kinetic jump cut | Action, energy |
| Hole Transition | A hole appears and expands to new scene | Surreal, portal, sci-fi |
| Roll Transition | Frame rolls like a scroll | Artistic, playful |
| Fly Cam Transition | Camera flies through space to new scene | Cinematic, epic |
| Display Transition | Screen/display device reveals new scene | Tech, modern, meta |
| Hand Transition | A hand wipes/sweeps to new scene | Stylized, editorial |
| Stranger Transition | Mysterious figure triggers transition | Thriller, mystery |
| Column Wipe | Columns of image wipe to reveal new scene | Stylized, editorial |
| Intermission | Old-cinema intermission card style | Retro, playful, meta |
| Preset | What it does | Best for |
|---|---|---|
| Fast Sprint | Subject sprints at superhuman speed | Action, chase, power |
| Giant Grab | Enormous hand or creature grabs subject | Horror, monster, scale |
| I Can Fly | Subject lifts off and flies | Superhero, fantasy, joy |
| Hero Flight | Cinematic superhero-style flight arc | Superhero, action |
| Train Rush | High-speed train rushes past | Action, transport, speed |
| Bullet Time Scene | Matrix-style frozen moment camera sweep | Action climax, impact |
| Bullet Time White | Bullet time with white flash | Action, high contrast |
| Bullet Time Splash | Bullet time with liquid splash | Combat, impact |
| Levitation | Subject levitates upward | Magic, supernatural, zen |
| Shadow Smoke | Subject's shadow takes on smoke quality | Dark, supernatural |
| Shadow | Dramatic shadow play in scene | Noir, mystery, drama |
| Glow Trace | Moving subject leaves glowing trail | Dance, action, energy |
| Live Concert | Concert atmosphere with stage lighting | Music, performance |
| 3D Rotation | Subject or object rotates in 3D space | Product, logo, artistic |
| Preset | What it does | Best for |
|---|---|---|
| Multiverse | Scene fractures into parallel versions | Sci-fi, surreal, mind-bending |
| Wonderland | Dreamlike Alice-in-Wonderland reality | Fantasy, children, surreal |
| Portal | A portal opens to another dimension | Sci-fi, fantasy, travel |
| Glitch | Digital glitch artifacts across the image | Cyberpunk, tech, artistic |
| Point Cloud | Scene rendered as floating particles | Artistic, sci-fi, abstract |
| Wireframe | Subject shown as 3D wireframe | Tech, sci-fi, design |
| Diamond | Subject or scene crystallizes to diamond | Fashion, luxury, artistic |
| Innerlight | Warm inner glow emanates from subject | Spiritual, emotional, warm |
| Polygon | Scene fragments into geometric polygons | Abstract, digital, art |
| Preset | What it does | Best for |
|---|---|---|
| Earth Zoom Out | Camera pulls back from earth's surface | Epic reveal, scale, planet |
| Cotton Cloud | Soft clouds form and drift through scene | Dreamy, peaceful, sky |
| Sakura Petals | Cherry blossom petals fill the air | Japanese aesthetic, romance |
| Garden Bloom | Garden bursts into bloom | Spring, life, beauty |
| Aquarium | Scene takes on underwater aquarium quality | Nature, peaceful, aquatic |
| Ice Rose | Rose or subject freezes in crystalline ice | Winter, beauty, time-stop |
| Color Rain | Colorful rain falls through the scene | Artistic, joyful, musical |
| Glowing Fish | Bioluminescent fish swim through scene | Underwater, mystical |
| Bubbles | Bubbles float upward through the scene | Dreamy, underwater, child-like |
| Preset | What it does | Best for |
|---|---|---|
| Horror Face | Subject's face takes on horror distortion | Horror, psychological, jump scare |
| Spiders from Mouth | Spiders pour from subject's mouth | Body horror, extreme horror |
| Storm Creature | A creature emerges from a storm | Horror, monster reveal |
| Sand Worm | Giant sandworm erupts from ground | Sci-fi horror, Dune-style |
| Preset | What it does | Best for |
|---|---|---|
| Money Rain | Cash rains down from above | Celebration, success, hip-hop |
| Group Photo | Scene freezes in a group photo pose | Comedy, social, fun |
| Firework | Fireworks burst in the sky/scene | Celebration, new year, joy |
| Starship Troopers | Sci-fi military action aesthetic | Sci-fi action, parody |
| Thunder God | Subject wields thunder/lightning power | Fantasy, power, epic |
| Objects Around | Objects orbit around the subject | Cartoon, playful, magic |
| Balloon | Balloons fill the scene | Party, joyful, celebration |
| Saint Glow | Halo and saintly glow around subject | Spiritual, ironic, artistic |
A woman stands at the edge of a cliff at sunset, hair flowing in the wind.
She raises her hands slowly as energy builds around her.
Camera: Crane Up revealing the ocean below.
Style: Cinematic, golden hour, 16:9.
Apply the Plasma Explosion preset at the moment her hands reach full extension.Two fighters face each other in a rain-soaked alley.
Camera: Bullet Time as the first punch lands.
Style: Anamorphic, desaturated, high contrast.
Apply the Flame Transition preset to cut to the next scene.Negative constraints: For motion/VFX artifacts (preset not visible, VFX looks cartoonish, jittery motion) and their prevention phrases, see
../shared/negative-constraints.md— Body/Motion Artifacts and Temporal/Consistency Artifacts sections.
These principles apply to Cinema Studio 3.0's generation engine (Business/Team plan only) and complement the motion preset library above.
Describe the INTENT and CONSEQUENCE of action, not precise frame-by-frame choreography. Let the AI director handle interpolation between key moments.
Wrong: At 0s: character raises right arm. At 1s: arm reaches 45 degrees. At 2s: arm fully extended. At 3s: energy ball forms.
Right: The character raises her arm slowly, energy gathering in her palm until it erupts in a blinding flash. Sparks scatter across the floor.
For all action and fight scenes, @Video reference is the most reliable approach:
violently, gracefully, explosively) and physics consequences (dust erupts, sparks fly)Reference @Video1 for movement choreography.
A swordsman draws his blade explosively, cutting through three bamboo stalks in rapid succession.
Stalks topple, leaves scatter, blade gleams in the sunlight.Capability boundary: For what
@Videoreference reads reliably vs. less reliably across world / texture / camera character / production feel — and what it can't do at all — see../higgsfield-camera/SKILL.md§ Video Reference — What It Reads, and What It Can't. The action-specific guidance above remains the primary method for fight and chase scenes.
For text-only action (no video reference), do not chain multiple distinct actions into one sentence. Break them down per shot:
Wrong: She jumps over the wall, rolls on landing, draws her weapon, and fires three shots while running.
Right (as separate Cinema Studio 3.0 shots):
She leaps over the wall, coat flaring. Landing hard, she rolls forward.Rising from the roll, she draws her weapon in one fluid motion.Running at full sprint, she fires three shots. Muzzle flash lights up the alley.If output is blurry, jittery, or morphing: too many actions packed into too short a duration.
The model handles 1–2 distinct action beats every 5 seconds. If your prompt has 4+ actions in a 5-second window, the model can't resolve them all and produces artifacts.
| Duration | Max Beats | Example |
|---|---|---|
| 3–5s | 1–2 | Jump + land |
| 5–8s | 2–3 | Jump + land + draw weapon |
| 8–12s | 3–5 | Jump + land + draw + fire + take cover |
| 12–15s | 4–6 | Full action sequence (use multi-shot) |
Fix: Split dense action across multiple shots, or extend the duration to give each beat more time.
higgsfield-camera — Camera controls (combine with motion presets)higgsfield-style — Visual styles (pair with motion effects)higgsfield-mixed-media — Artistic preset overlays (different from motion presets)higgsfield-recipes — Genre templates referencing specific presetstemplates/ — Annotated templates showing preset usage in contextImportant: This is NOT a named motion preset. Everything above in this sub-skill is the VFX preset library — Explosion, Werewolf, Air Bending, and so on — where the preset name triggers a pre-built effect. Kling 3.0 Motion Control is a different system entirely: a reference-video motion transfer workflow. You upload a character image plus a short clip of the motion you want, and the model transfers that motion onto the character. The prompt describes the world around the motion — not the motion itself.
Reach for Motion Control when the generation needs directed, repeatable motion rather than a loose interpretation. Typical cases: dance choreography, sports or athletic beats, acting or reaction beats, precise gestures for a talking head, and transferring the same motion pattern across different characters (e.g., one captured performance applied to multiple hero images). It's also useful as a scene prototyping step before a heavier Kling 3.0 assembly — you can lock the motion first, then build the surrounding scene around it.
Run Motion Control through the Higgsfield UI in this order:
Input quality determines output quality. If the reference clip is noisy, the transfer will be noisy — no amount of prompt refinement fixes a bad source. Before clicking Generate, confirm the reference clip against this pre-flight checklist:
Rule of thumb: if you'd struggle to describe what's happening frame-by-frame in the reference clip, the model will too. Trim, re-shoot, or re-select the reference before burning credits on a generation that was always going to fail.
A few controls and one diagnostic round out the Motion Control workflow:
© 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 of OSideMedia/higgsfield-ai-prompt-skill.
Open the folder on GitHubat commit 7075497
Higgsfield Motion 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 this skillOSideMedia/higgsfield-ai-prompt-skill | 707 | — | ~5k | Automated safety check: Pass | MIT | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| SN Motion HTMLOpenSenseNova/SenseNova-Skills | 5.7k | — | ~2.2k | Automated safety check: Notes | MIT | |
| Seedance Prompt Endexhunter/seedance2-skill | 4.2k | — | ~3.8k | Automated safety check: Pass | MIT | |
| Seedance Japanese Prompt ExamplesEmily2040/seedance-2.0 | 7.6k | 1 repos | ~898 | Automated safety check: Pass | MIT | |
| Seedance 2 5 Video Directorliyue-aigc/seedance-2-5-video-director | 561 | — | ~3.5k | Automated safety check: Pass | MIT |
songguoxs/seedance-prompt-skill
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…
OpenSenseNova/SenseNova-Skills
Builds HTML stories where one continuous camera journey advances with page progress, using researched structure, AI stills, Seedance video clips and browser QA.
dexhunter/seedance2-skill
Write effective prompts for Jimeng Seedance 2.0 multimodal AI video generation.
Emily2040/seedance-2.0
Provides Japanese prompt patterns and safe example rewrites for Seedance 2.0 video generation, with reference tags kept intact and each example labeled by risk.
liyue-aigc/seedance-2-5-video-director
Design, derive, optimize, diagnose, and rewrite scripts or copy-ready prompts specifically for Dreamina/即梦 Seedance 2.5.
dexhunter/seedance2-skill
为即梦 Seedance 2.0 多模态AI视频生成模型撰写高质量提示词。当用户需要使用文本、图片、视频、音频等多模态输入创作视频提示词时触发。涵盖@引用语法、运镜复刻、特效模仿、视频延长、视频编辑、音乐卡点、电商广告、短剧创作、科普教育等场景。
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
End-to-end motion-design / animated-ad creation flow on Higgsfield via the MCP connector.
Works with
Categories
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. Higgsfield Motion is an agent skill from OSideMedia/higgsfield-ai-prompt-skill. Use when the user wants to apply a named Higgsfield motion preset, asks about VFX presets, transformation effects, elemental effects, or transition presets.
Higgsfield Motion fits situations like: the user wants to apply a named Higgsfield motion preset; asks about VFX presets; transformation effects; elemental effects.
Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-motion -a claude-code`. Or copy the skill folder (skills/higgsfield-motion in OSideMedia/higgsfield-ai-prompt-skill) into .claude/skills/higgsfield-motion 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 -a codex`. Or copy the skill folder (skills/higgsfield-motion in OSideMedia/higgsfield-ai-prompt-skill) into .agents/skills/higgsfield-motion 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 -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, .gemini/skills/higgsfield-motion, .github/skills/higgsfield-motion and .opencode/skills/higgsfield-motion in your project.
SKILL.md names no scripts, command-line tools or credentials: Higgsfield Motion 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 is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5k tokens (SKILL.md is roughly 20k 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: Seedance (songguoxs/seedance-prompt-skill, 2.9k stars), SN Motion HTML (OpenSenseNova/SenseNova-Skills, 5.7k stars), Seedance Prompt En (dexhunter/seedance2-skill, 4.2k stars) and Seedance Japanese Prompt Examples (Emily2040/seedance-2.0, 7.6k 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 707 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.