higgsfield-ai-prompt-skill

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Guvenlik Denetimi
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SUMMARY

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character consistency, Seedance 2.0 prompt modes, Kling 3.0 Motion Control, Elements system, DISCIPLINE framework, production benchmarks, and 17 templates across 3 categories.

README.md

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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 / 3.0 Omni / 3.0 Motion Control, 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, Five-View Location Reference Sheet, Reference Sheet Types (Motion / Outfit / Palette), Elements System with library surface (5 source tabs × 6 element categories)
  • 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
  • Cinema Studio 3.5: three-pill main UI (Genre / Style / Camera), Style Settings panel (8 Color Palette / 6 Lighting / 9 Camera Moveset Style + Manual Style mode), Camera Settings four-axis panel (3 Camera Body / 5 Lens / 5 Focal Length including new 75mm / 3 Aperture), Image Mode with four Cinematic models picker (Soul Cinema default, Cinematic Characters, Cinematic Locations, Cinematic Cameras with 2.5 vocabulary)
  • Seedance 2.0 prompting best practices — Intent over Precision, Genre Router, I2V Gate, Anti-Slop, Physics Language, SCELA audio, Reference-Based / Continuation / Expand Shot / Edit Shot / Transformation prompt modes, Continuation Prompt Formula, the Iteration Rule
  • Shared negative constraints reference — categorized artifacts + prevention phrases (positive alternatives for 3.0); Kling 3.0 Motion Control failure diagnostic; Physics Rendering — Resolution Decision Matrix (cross-model 480p / 720p / 1080p routing rule for Seedance 2.0 + Cinema Studio 3.x)
  • Identity vs. Motion separation — hard rule for character consistency across shots
  • Annotated templates library — 10 genre templates with Cinema Studio 3.0 genre mappings, plus Seedance multi-character coordination + text-overlay sub-libraries (17 files across 3 categories)
  • DISCIPLINE.md cross-cutting framework — 9 named discipline patterns in 3-3-3 tier symmetry (prompt-construction, model-selection, iteration-discipline) governing decisions across all sub-skills
  • production-benchmarks.md — Hell Grind 90-min Cannes feature reference, per-character iteration anchors, acceptance-rate calibration; what "production quality" means in practice
  • FAILURE-MODES.md (Seedance) — 8 named render failures documented with symptom + mechanism + counter for diagnosis-first iteration
  • C-arc Building Complete AI Projects — 10-Step Methodology — end-to-end pipeline from idea to delivered project; complements the genre/scene templates
  • Expanded Seedance methodology + Soul refinement — Iteration Rule + 6-Pass Diagnostic Sequence + Four Questions + Next-Shot Decision Tree + Bridging / Continuation / Repair working modes; Character Anchor Block + Two-Tool Refinement Pipeline for character consistency at production scale

Install

Claude Code

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

Claude Cowork

Drop the repo folder into your Cowork workspace. The skill dispatcher is at SKILL.md in the repo root.

Claude.ai Projects

Upload SKILL.md (root) as your project instruction base. Upload files from skills/ as project documents.

Structure

.
├── SKILL.md                          ← Main dispatcher (routes to sub-skills — start here)
├── README.md                         ← This file
├── CHANGELOG.md                      ← Version history
├── CONTRIBUTING.md                   ← Contribution guidelines
├── LICENSE                           ← MIT license
├── CLAUDE.md                         ← Project instructions for Claude Code
├── .markdownlint.json                ← Linter config (CHANGELOG convention silencing — v3.6.1)
├── 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
├── DISCIPLINE.md                     ← Cross-cutting discipline framework (9 patterns, 3-3-3 tier symmetry)
├── production-benchmarks.md          ← Production-quality anchors + acceptance-rate calibration
├── higgsfield_memory.py              ← Memory system script
├── seedance_lint.py                  ← Seedance preflight linter
├── validate.py                       ← Pre-release validation script
├── generate_user_guide.py            ← USER-GUIDE.pdf generator (Path B refactor — v3.7.0)
├── validate_user_guide.py            ← USER-GUIDE.pdf drift validator (text-extract + binary diff)
├── db/
│   ├── filter-memory.json            ← Content filter memory (seeded)
│   └── quality-memory.json           ← Quality failure memory (seeded)
├── docs/                             ← Extended reference documents
│   ├── Seedance 2 Skill.md           ← Bilingual EN+ZH Seedance director reference
│   ├── archive/                      ← Historical artifacts
│   │   └── v3.0.0/                   ← v3.0.0 audit + inventory snapshot
│   ├── pdf-audit/                    ← PDF integration audit reports (v3.4.0, v3.6.0)
│   └── user-guide/                   ← Exported USER-GUIDE.pdf + version baselines
├── templates/                        ← Genre templates + Seedance coordination + text-overlays
│   ├── 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
│   ├── seedance/                     ← Multi-character coordination templates
│   │   ├── multi-character-anchor.md
│   │   ├── single-character-position.md
│   │   ├── top-down-map.md
│   │   └── worked-example-two-character.md
│   └── text-overlays/                ← Text overlay templates
│       ├── slogan.md
│       ├── speech-bubble.md
│       └── subtitle.md
└── skills/
    ├── shared/
    │   └── negative-constraints.md       ← Shared artifact prevention reference
    ├── higgsfield-prompt/SKILL.md        ← Core MCSLA formula + prompt structure + Identity/Motion separation
    ├── higgsfield-image-shots/SKILL.md   ← Cinematic image prompting (shots, angles, composition)
    ├── 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 + 3.5 (Soul Cast, Color Grading, 3D Mode, Smart Mode, @ References, Native Audio, three-pill UI, Image Mode, Cinematic models picker)
    ├── higgsfield-seedance/
    │   ├── SKILL.md                      ← Seedance prompt director + content-filter preflight
    │   └── FAILURE-MODES.md              ← 8 named Seedance render failures (symptom · mechanism · counter)
    ├── higgsfield-vibe-motion/SKILL.md   ← Vibe-based motion direction
    └── higgsfield-workspaces/SKILL.md    ← Workspace-first decision layer (Cinema Studio / Lipsync / Draw-to-Video / Sora 2 Trends / Click to Ad / Higgsfield Audio)

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

Built February 2026 · v3.7.7 (updated 2026-05-18) · Platform: higgsfield.ai

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