Higgsfield Prompts — AI skill for Claude Code
Seedance 2.5 prompt skill for Higgsfield AI video: image-to-video, motion transfer, multi-shot and 30s one-take prompts with examples and a cheat sheet.
How to install Higgsfield Prompts
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open jutsuhq/higgsfield-prompts and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Higgsfield Prompts does
Seedance 2.5 prompt skill for Higgsfield AI video: image-to-video, motion transfer, multi-shot and 30s one-take prompts with examples and a cheat sheet. Works in Claude Code, Codex, Cursor (Agent Skills / SKILL.md).
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README
Seedance 2.5 Prompt Skill for Higgsfield

[](LICENSE) [](https://agentskills.io) [](https://docs.claude.com/en/docs/claude-code/skills)
**An AI agent skill that writes Seedance 2.5 video prompts for [Higgsfield](https://higgsfield.ai).** Describe an idea, attach reference photos or a TikTok you want to recreate, and your agent returns a ready-to-paste prompt. The answer includes the `@Image` reference mapping, the settings to pick and fixes for when a generation fails.
It works in **Claude Code**, **Codex**, **Cursor** and any agent that supports the open [Agent Skills](https://agentskills.io) (`SKILL.md`) format.
Install
git clone https://github.com/jutsuhq/higgsfield-prompts ~/.claude/skills/higgsfield-prompts
That installs it for all your Claude Code projects. For a single project, clone it into `.claude/skills/higgsfield-prompts` inside that project instead. For another agent, copy the folder into that agent's skills directory.
Optional: `brew install ffmpeg` lets the skill analyse reference videos (duration, cuts, contact sheet).
Example
**You:** "Animate this portrait of my character in the rain, 5 seconds, for TikTok." (with `rain-portrait.png` attached)
**The skill returns** settings (omni-reference, 9:16, 5 s) and the prompt:
@Image1 is the first frame and defines the young woman: her face, short black bob, yellow raincoat and the neon-lit wet street behind her. Keep the composition and lighting of @Im
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