Higgsfield AI Prompt Skill

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

What This Skill Does

Transforms natural language requests into production-ready Higgsfield prompts using:

• The MCSLA formula (Model · Camera · Subject · Look · Action)
• Named camera controls and motion presets the platform recognizes
• Model selection guidance across Kling 3.0, Sora 2, Veo 3.1, Wan, Seedance 2.0, Minimax Hailuo, Higgsfield DoP, and more
• Genre recipe templates for action, horror, romance, sci-fi, product ads, and more
• Soul ID character consistency guidance + Character Sheet creation
• Troubleshooting for failed or poor generations
• Cinema Studio 2.5 advanced features: Soul Cast AI actors, built-in color grading, 3D Mode (Gaussian Splatting), Grid Generation, Resolution Settings, Frame Extraction Loop, Object & Person Insertion, Per-Character Emotions, Clustering
• Cinema Studio 3.0 (Business/Team plan): native dual-channel stereo audio, Smart shot control, 15s max duration, 7 genres, @ reference patterns, Soul Cast 3.0
• Seedance 2.0 prompting best practices — Intent over Precision, Genre Router, I2V Gate, Anti-Slop, Physics Language, SCELA audio
• Shared negative constraints reference — categorized artifacts + prevention phrases (positive alternatives for 3.0)
• Identity vs. Motion separation — hard rule for character consistency across shots
• 10 annotated genre templates — production-quality examples with Cinema Studio 3.0 genre mappings

Quick Start

1. Claude Cowork (recommended)

Drop the entire repo folder into your Cowork workspace. The main dispatcher is at:

mnt/user-data/outputs/higgsfield/SKILL.md

2. Claude Code

git clone https://github.com/OSideMedia/higgsfield-ai-prompt-skill
cp -r higgsfield-ai-prompt-skill ~/.claude/skills/higgsfield

3. Claude.ai Projects

Upload SKILL.md (the root-level one) as your project instruction base, then upload the sub-skill files from mnt/user-data/outputs/higgsfield/skills/ as project documents.

Path note: The mnt/user-data/outputs/higgsfield/ directory mirrors the Claude Cowork filesystem layout intentionally. If you're using Claude Code or Claude.ai Projects, adapt the paths to your own environment (e.g. ~/.claude/skills/higgsfield/).

Structure

.
├── SKILL.md                          ← Model selection guide (routes model questions)
├── README.md                         ← This file
├── CHANGELOG.md                      ← Version history
├── CONTRIBUTING.md                   ← Contribution guidelines
├── USER-GUIDE.pdf                    ← Exported user guide
├── model-guide.md                    ← Model comparison tables + decision flowchart
├── image-models.md                   ← Image model reference + pricing tiers
├── vocab.md                          ← Full platform vocabulary reference
├── prompt-examples.md                ← High-quality example prompts + Before/After pairs
├── photodump-presets.md              ← Photodump mode presets
├── higgsfield_memory.py              ← Memory system script
├── validate.py                       ← Pre-release validation script
├── db/
│   ├── filter-memory.json            ← Content filter memory (seeded)
│   └── quality-memory.json           ← Quality failure memory (seeded)
└── mnt/user-data/outputs/higgsfield/
    ├── SKILL.md                      ← Main dispatcher (routes to sub-skills — start here)
    ├── templates/                     ← 10 annotated genre-specific prompt templates
    │   ├── 01-cinematic-action-chase.md
    │   ├── 02-product-ugc-showcase.md
    │   ├── 03-horror-atmosphere.md
    │   ├── 04-fashion-editorial.md
    │   ├── 05-sci-fi-vfx.md
    │   ├── 06-portrait-character-intro.md
    │   ├── 07-landscape-establishing-shot.md
    │   ├── 08-comedy-social-media.md
    │   ├── 09-romantic-intimate.md
    │   └── 10-dance-music-performance.md
    └── skills/
        ├── higgsfield-image-shots/SKILL.md   ← Cinematic image prompting (shots, angles, composition)
        ├── shared/
        │   └── negative-constraints.md   ← Shared artifact prevention reference
        ├── higgsfield-prompt/SKILL.md      ← Core MCSLA formula + prompt structure + Identity/Motion separation
        ├── higgsfield-models/
        │   ├── SKILL.md                    ← Compact model selection guide
        │   └── MODELS-DEEP-REFERENCE.md    ← Full per-model documentation (on-demand)
        ├── higgsfield-camera/SKILL.md      ← All camera controls + usage
        ├── higgsfield-motion/SKILL.md      ← Named motion presets library
        ├── higgsfield-style/SKILL.md       ← Visual styles + color grades + lighting
        ├── higgsfield-soul/SKILL.md        ← Soul ID character consistency
        ├── higgsfield-audio/SKILL.md       ← Audio prompting + Cinema Studio 3.0 native audio
        ├── higgsfield-apps/SKILL.md        ← One-click Apps guide
        ├── higgsfield-recipes/SKILL.md     ← Genre scene templates
        ├── higgsfield-troubleshoot/SKILL.md ← Fix failing generations
        ├── higgsfield-assist/SKILL.md      ← General assistant + platform guidance
        ├── higgsfield-mixed-media/SKILL.md ← Mixed media + hybrid generation
        ├── higgsfield-moodboard/SKILL.md   ← Moodboard creation workflows
        ├── higgsfield-pipeline/SKILL.md    ← Multi-step generation pipelines
        ├── higgsfield-recall/SKILL.md      ← Recall + regeneration patterns
        ├── higgsfield-cinema/SKILL.md      ← Cinema Studio 2.5 + 3.0 (Business/Team) (Soul Cast, Color Grading, 3D Mode, Smart Mode, @ References, Native Audio)
        └── higgsfield-vibe-motion/SKILL.md ← Vibe-based motion direction

Example Prompts

Basic:

"Write me a Higgsfield prompt for a cinematic action chase through a night market"

Specific:

"I need a horror prompt using VHS style, Dutch angle camera, and the Horror Face preset"

With reference:

"I have a Soul ID character. Write 3 different scene prompts with her — office, party, rooftop"

Model question:

"Should I use Kling 3.0 or Sora 2 for a large-scale battle scene?"

Troubleshoot:

"My image-to-video isn't animating, it's just static. What am I doing wrong?"

The MCSLA Formula

| Letter | Layer | Example | |--------|-------|---------| | M | Model | Kling 3.0 | | C | Camera | FPV Drone weaving through the alley | | S | Subject | A woman in a tactical jacket | | L | Look | Cinematic, cold blue shadows, 16:9 | | A | Action | She sprints, slides under a gate |

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Built February 2026 · v3.0.0 (updated April 2026) · Platform: higgsfield.ai