higgsfield-prompts

Route Higgsfield prompt requests to sub-skills and enforce MCSLA structure.

129|21|Updated Apr 22, 2026
One-click install
npx skills add https://github.com/dsm5e/aso-tracker --skill higgsfield-prompts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: higgsfield-prompts
Source: https://github.com/dsm5e/aso-tracker/tree/main/aso-video/docs/higgsfield-prompts
Command: npx skills add https://github.com/dsm5e/aso-tracker --skill higgsfield-prompts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes guesswork when writing Higgsfield prompts by routing users to the correct prompt-generation modules and ensuring output follows the platform’s required structure and named vocabulary.

Core Features & Use Cases

  • Skill routing via a dispatcher: Selects the right sub-skill based on whether the user needs model selection, camera guidance, motion presets, style direction, troubleshooting, or a full prompt draft.
  • Enforces MCSLA prompt structure: Applies the Model · Camera · Subject · Look · Action framework for video prompts while keeping camera presets and motion tokens consistent.
  • Uses shared negative constraints: Appends a unified negative-artifact checklist before delivering any prompt to reduce common generation failures.

Quick Start

Tell the AI what you want to generate for Higgsfield (model, camera vibe, and scene), and ask it to write a ready-to-paste prompt.

Frequently Asked Questions about higgsfield-prompts

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure a video prompt for Higgsfield?

Higgsfield video prompts require an MCSLA structure, organizing your request into Model, Camera, Subject, Look, and Action components to ensure the generation meets the platform's named vocabulary rules.

What is the best way to write production-ready Higgsfield prompts?

Writing production-ready Higgsfield prompts involves routing your scene description to the correct sub-skill module, applying MCSLA structure, and appending shared negative constraints to reduce common generation failures.

Why do my Higgsfield video generations have unwanted artifacts?

Unwanted artifacts in Higgsfield generations often occur when prompts lack the shared negative constraints checklist, which must be appended before delivery to reduce common generation failures.

Can I use camera presets and motion tokens in my Higgsfield prompts?

Yes, you can use camera presets and motion tokens in Higgsfield prompts, and the prompt generation process ensures these elements remain consistent within the MCSLA framework.

Does Higgsfield support multi-step workflows for complex scenes?

Higgsfield supports multi-step workflows like Cinema Studio and Seedance, routing your complex scene descriptions to specialized modules for accurate parameter choices and prompt drafting.