higgsfield

name	higgsfield
description	Use this skill whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Sora 2, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano Banana, Seedream, Flux, GPT Image, etc.), camera controls, named motion presets, Soul ID character consistency, Cinema Studio 2.5/3.0, Vibe Motion, troubleshooting failed generations, credit optimization, Photodump, or any mention of higgsfield.ai. Also trigger on generic "write me a video prompt" or "make me an AI video prompt" requests when Higgsfield is the user's configured platform.
user-invocable	true
metadata	{"tags":["higgsfield","video","image","prompt","cinematic","AI","filmmaking","motion","camera"],"version":"3.17.0","updated":"2026-06-27T00:00:00.000Z","author":"O-Side Media","license":"MIT"}

Higgsfield AI Prompt Skill

Language rule: Reply in whatever language the user writes in.

---

HARD RULES — pre-delivery checklist

These rules apply to every Higgsfield response. They are written as a pre-delivery checklist the agent runs before sending the response, not as prohibitions stated and then forgotten. The failure mode they prevent is plausibility-over-verification — producing a response that looks correct because the agent's training data knows the rough shape of Higgsfield work, rather than because the agent actually read the skill files and verified the platform's ground truth.

Before delivering any Higgsfield response, confirm in this order:

1. Routing line present. First line of response names which sub-skills you routed to (e.g. "Routing to higgsfield-prompt + higgsfield-camera for an Atmosphere push-in"). One line, then the work. Missing routing line = response is incomplete; add it.

2. Routed sub-skills opened and read in this conversation. Match the user's ask to the routing table below, open the matching sub-skill files with the read tool, and READ them. Root SKILL.md and skills/higgsfield-prompt/SKILL.md are mandatory at minimum on any prompt request. Grepped snippets do not satisfy this rule. Full reads do. If your only access to root SKILL.md or skills/higgsfield-prompt/SKILL.md in this conversation came from grep results, you have not satisfied this rule — open the file. Platform vocabulary, preset names, and model parameters must come from the files because this platform's lineup changes between releases.

3. Named vocabulary verified, not invented. Camera preset names, motion preset names, model names, CLI flag forms, and MCP tool parameter names all come from the skill files or from verification. For model parameters, enums, and durations, verify against specs/model-specs.yaml first — it is generated from a dated models_explore snapshot (see snapshot_date inside the file); if the snapshot is stale (>30 days), verify live instead (higgsfield model get <model> for CLI param schemas; models_explore for MCP). If you found yourself thinking "this flag probably looks like X" or "this preset is probably called Y" — stop. Read the file or run the verification command. Plausibility is not validity. Do not substitute generic video-prompt vocabulary for named Higgsfield presets; do not invent model versions, camera presets, or motion-preset names. If the user names one you don't see in the skill files, say so and ask for clarification.

4. MCSLA structure intact on video prompts. Model · Camera · Subject · Look · Action. Five layers, every video prompt, unless the user explicitly opted out.

5. Shared negative constraints appended. Pull positive-phrasing prevention phrases from skills/shared/negative-constraints.md. Do not paraphrase from training; use the exact phrasing from the file. (Kling 3.0 prefers positive phrasing over negations; using negation-form constraints when the file says positive is a fidelity miss.)

6. Preflight surfaced when applicable. If execution intent is signaled (CLI / MCP / bundled-skills mentioned) AND a video-class or high-cost model is named OR a budget concern is named, surface the two-step preflight (model get / models_explore for schema, then cost estimate). See skills/higgsfield-stack/SKILL.md § Preflight discipline.

7. Aspect ratio is an enum, not a free-form value. Check the model's allowed ratios against specs/model-specs.yaml before writing them into the header; if the snapshot is stale (>30 days), verify live via schema (models_explore / model get). Example of why this matters: Seedance 2.0 supports native 21:9, Kling 3.0 does not. Anamorphic / 2.35:1 / 2.39:1 are style register vocabulary for the Look line, not output ratios. See vocab.md § Aspect Ratio: output spec vs. style register.

8. Prompt under 200 words. Soft cap from MCSLA section. Going over is a signal you're padding rather than locking — tighten.

If any of items 1–8 are missing or unverified, the response is incomplete. Complete them before sending, not after.

---

What Is Higgsfield?

Higgsfield is a cinematic AI video and image generation platform built for filmmakers and creators. Unlike single-model tools, Higgsfield hosts multiple generation engines on one platform — Kling 3.0/3.0 Omni/3.0 Motion Control, Sora 2, Google Veo 3.1/3.1 Lite, Wan 2.7/2.6/2.5, Seedance 2.0/Pro, Minimax Hailuo 2.3/02, Higgsfield DoP (Lite/Standard/Turbo) for video; Soul 2.0, Soul Cinema Preview, Soul Cast, Nano Banana Pro/2, Kling Image 3.0/Omni, Seedream 4.0, GPT Image 2.0, Flux 2/Kontext for images — plus a library of 100+ named Motion Presets, a Soul ID character consistency system, Cinema Studio 2.5, Cinema Studio 3.0 (Business/Team plan), and Cinema Studio 3.5 with Soul Cast AI actors, native dual-channel stereo audio, and 80+ one-click Apps.

---

Working Folders — file handling

The project has a workspace/ folder with three subfolders. Use them for every task that involves a user-provided document or a file you produce. This keeps uploads and deliverables out of the project root.

Folder	Role	Your behavior
workspace/input/	Documents the user wants you to read (scripts, story bibles, briefs, character sheets, references).	Read from here first. If the user uploaded a file that landed elsewhere in the project root, move it into workspace/input/ before working with it. When you need a document from the user, ask them to drop it in workspace/input/.
workspace/output/	Files you generate for the user (prompt packs, shot breakdowns, batch CSVs, reports, exported docs).	Write every file deliverable here, not to the project root. Tell the user the path when you finish.
workspace/processed/	Inputs you have finished consuming.	When a task is complete, move the source from input/ to processed/ so input/ stays clean. Never delete the user's files — relocate them.

Rules:

• Never scatter user uploads or generated files across the project root or skill folders — route them through workspace/.
• Treat workspace/input/ as the canonical place to look when the user says "the script / bible / reference I gave you."
• These three folders' contents are local-only (git-ignored); do not assume anything in them is committed.

Fast Path — Simple Creative Requests

If the user provides a clear creative intent ("write me a prompt for a car chase at night") with no specific constraints, generate immediately using these sensible defaults:

Fast Path still requires reading skills/higgsfield-prompt/SKILL.md first — Fast Path means skip clarifying questions, NOT skip the file read.

Parameter	Default
Aspect ratio	16:9
Duration	8s
Style	Cinematic
Video model	Kling 3.0 (character-focused) or Sora 2 (action/scale)
Image model	Soul 2.0 (portrait) or Nano Banana 2 (everything else)

Do not ask clarifying questions. Deliver a ready-to-paste prompt. Mention the defaults used so the user can adjust if they want something different.

If you did not read skills/higgsfield-prompt/SKILL.md earlier in this conversation, read it now before writing the prompt.

Full Path — Production Requests

When the user signals production-grade intent (Cinema Studio, multi-shot, specific model, budget constraints, client work), confirm before generating:

Required:

• Generation type: Image / Video / App (one-click)
• Video duration: 5s / 10s (image-to-video clips are 3–5s; text-to-video up to 10s+)
• Aspect ratio: 16:9 / 9:16 / 1:1 / 4:5 / 4:3 / 2.35:1 (default: 16:9)
• Model preference (or ask Claude to recommend — see skills/higgsfield-models/SKILL.md)

Optional (skip if user already provided):

• Visual style: Cinematic / VHS / Super 8MM / Anamorphic / Abstract
• Soul ID character reference (if character consistency needed)
• Reference image for image-to-video
• Motion preset preference

Ask everything in one message — do not split across multiple rounds.

---

Route to the Right Skill

User wants	Route to
User unsure which workspace/tool fits, or asks "what should I use for X"	higgsfield-workspaces
Write or improve a prompt	higgsfield-prompt + relevant sub-skills
Develop a character / world / story / premise before prompting, build a character sheet / story bible, lock a visual style ("visual DNA"), keep a character consistent across many shots, or "I keep getting generic AI characters"	higgsfield-character-design
Cinematic still image prompt (shot framing, angles)	higgsfield-image-shots
GPT Image 2.0 / gpt-image-2 prompt, UI mockup, infographic, character/reference sheet, layout-dense image, or static-ad recreation	higgsfield-gpt-image-2
Choose the right model	higgsfield-models
Camera movement guidance (video)	higgsfield-camera
Named motion preset (Explosion, Werewolf, etc.)	higgsfield-motion
Visual style selection	higgsfield-style
Character consistency across shots	higgsfield-soul
VFX presets (Air Bending, Plasma, etc.)	higgsfield-motion
One-click App workflow	higgsfield-apps
Genre recipe (action, horror, ad, etc.)	higgsfield-recipes
Fix a failing generation	higgsfield-troubleshoot
Moodboard, style direction, Soul Hex color	higgsfield-moodboard
Visual consistency across a project	higgsfield-moodboard
Mixed Media presets (Noir, Sketch, Particles, etc.)	higgsfield-mixed-media
Photodump style preset / social-feed photo-dump aesthetic	photodump-presets.md (root reference)
Artistic style transformation, preset stacking	higgsfield-mixed-media
Higgsfield Assist (GPT-5 copilot)	higgsfield-assist
Credit optimization, plan selection, budget strategy	higgsfield-assist
Cinema Studio 2.5 / Cinema Studio 3.0 / Cinema Studio 3.5 / multi-shot sequence workflow / Soul Cast	higgsfield-cinema
Optical physics, camera bodies, lenses, Hero Frame	higgsfield-cinema
Elements system (@Characters/@Locations/@Props)	higgsfield-cinema
Director Panel, Speed Ramp, shot modes, Popcorn	higgsfield-cinema
Cinema Studio 3.0 Smart mode, @ references, native audio	higgsfield-cinema
Cinema Studio 3.5 — three-pill UI, Style Settings, Camera Settings, Manual Style, AI director toggle	higgsfield-cinema
User mentions Marketing Studio, DTC Ads, ms_image, or marketing_studio_video model	higgsfield-marketing-studio
User wants UGC / Tutorial / Unboxing / Hyper Motion / Product Review / TV Spot / Wild Card / UGC Virtual Try On / Pro Virtual Try On ad video	higgsfield-marketing-studio
User mentions hook+setting picklists, preset / custom / text-generated avatars in MS context, or 4–15s ad video constraints	higgsfield-marketing-studio
User wants to run a full campaign pipeline — research → plan → generate → publish → report, "create a campaign", "100 UGC videos", content plan, batch ads, cost-savings report	higgsfield-content-factory
User mentions Higgsfield Canvas, a node-based / node-graph workspace, an infinite board, chaining prompts→images→videos into a pipeline, Shared Canvas, or a ComfyUI-style node workflow	higgsfield-canvas
Multi-shot workflow, chaining tools, full production pipeline	higgsfield-pipeline
Short film, branded content, Popcorn → video → assembly	higgsfield-pipeline
Vibe Motion, kinetic typography, animated text, infographic/data/presentation animation, logo/brand animation as code (Remotion — crisp text, exact brand colors, deployable, real-time edits)	higgsfield-vibe-motion
Animated AD / brand promo as an AI-generated video built brief → storyboard sheet → Seedance ("make a motion", "motion design ad", "animate my logo into a video", "promo/ad video", classicMD/highMD)	higgsfield-motion-design
Vibe Motion vs Motion Design (both say "motion graphics / brand / logo animation"): want crisp text, exact colors, deployable code, editable canvas → higgsfield-vibe-motion (Remotion code); want a cinematic/kinetic AI video clip (pixel render, native audio, no guaranteed-crisp text) → higgsfield-motion-design (Seedance). When unsure, ask "should the text/logo stay perfectly crisp and editable (code), or is this a rendered video clip?"	—
Pre-generation memory check, apply past failure fixes	higgsfield-recall
User reports a generation result (kept/rejected/flagged) — log it to the ledger	higgsfield-recall
Takes-per-kept ratios, credit budgeting from logged data	higgsfield-assist
Audio design, dialogue cues, SFX, ambient sound	higgsfield-audio
Seedance 2.0 / Pro prompt, flagged prompt, credit waste on Seedance	higgsfield-seedance
Precise facial expression / FACS / Action Unit codes (AU12, AU6…), forced or uncanny or mixed expression, close-up micro-performance, monologue/dialogue facial acting, "which AU code for anger/fear", FACS reference sheet	higgsfield-facs
"Make a shotlist", break a script/brief/treatment into many connected Seedance prompts, director's shotlist, global style prefix + @-glossary + named per-scene prompts as one editable HTML	higgsfield-shotlist-director
User has Higgsfield CLI / MCP / bundled skills installed and asks how this skill works alongside them	higgsfield-stack
User mentions higgsfield auth login, higgsfield generate create, mcp.higgsfield.ai/mcp, /higgsfield:generate, or asks "do I need both"	higgsfield-stack
User asks where the prompt construction ends and the CLI/MCP execution begins (handoff questions)	higgsfield-stack

---

Check Templates for Genre Match

Before writing a prompt from scratch, check if the user's request matches a common genre pattern. The templates/ folder contains 10 annotated example templates with line-by-line breakdowns, recommended models, negative constraints, and variations.

User request matches	Check template
Chase, pursuit, action, parkour	templates/01-cinematic-action-chase.md
Product, commercial, ad, UGC	templates/02-product-ugc-showcase.md
Horror, scary, creepy, dread	templates/03-horror-atmosphere.md
Fashion, editorial, lookbook	templates/04-fashion-editorial.md
Sci-fi, cyberpunk, VFX, space	templates/05-sci-fi-vfx.md
Portrait, character intro, close-up	templates/06-portrait-character-intro.md
Landscape, nature, establishing shot	templates/07-landscape-establishing-shot.md
Comedy, social media, TikTok, skit	templates/08-comedy-social-media.md
Romance, intimate, couple, wedding	templates/09-romantic-intimate.md
Dance, music, performance, concert	templates/10-dance-music-performance.md

Use the template as a starting point — adapt the example prompt to the user's specific request. The annotations explain WHY each element works, helping you make informed substitutions.

Technique templates (templates/seedance/) — structure templates for Seedance prompts where the user request is technique-shaped rather than genre-shaped:

Technique need	Template
Pre-visualize multi-character spatial geometry before prompting	templates/seedance/top-down-map.md
Multi-character shot with cross-character relationships	templates/seedance/multi-character-anchor.md
Single-character shot with position + pose + contact-point locks	templates/seedance/single-character-position.md
Worked example: two-character anchoring end-to-end	templates/seedance/worked-example-two-character.md
Anime / stylized-2D animation — layered formula + style block + character turnaround	templates/seedance/anime-animation.md
Close-up facial acting via FACS Action Unit codes — beat-synced expression schedule	templates/seedance/facs-expression-beats.md

Text-overlay templates (templates/text-overlays/) — paste-ready text-rendering prompts for slogan / subtitle / speech-bubble overlays:

Text overlay type	Template
Slogan / brand callout / opening title	templates/text-overlays/slogan.md
Subtitle (dialogue-synchronized)	templates/text-overlays/subtitle.md
Speech bubble (character-attributed)	templates/text-overlays/speech-bubble.md

---

Build the Prompt Using the MCSLA Formula

Full MCSLA definition and prompt structure → skills/higgsfield-prompt/SKILL.md

Quick summary — five layers, every prompt:

M	C	S	L	A
Model	Camera	Subject	Look	Action

Core rules:

• Be specific — name camera presets, describe VFX concretely
• Keep prompts under 200 words
• Subject → Action → Camera → Style is the most reliable order

---

Output Format

Single prompt:

**Model**: [model name]
**Aspect ratio**: [ratio]  **Duration**: [Xs]  **Style**: [style]

[Prompt]

**Camera**: [camera control name]
**Motion preset** (if used): [preset name]

Two versions (when style varies):

### Version 1 — [Style Name]
[Prompt]

---
### Version 2 — [Style Name]
[Prompt]

Output rules:

• Output a clean, ready-to-paste prompt — no meta-commentary after
• Do not explain what every line does unless the user asks
• Always name the camera control and motion preset explicitly

---

Generation Ledger — log every result

Every generation attempt the user reports — kept, rejected, or filter-flagged — gets one row in db/ledger/<project>.json. The denominator (successes too, not just failures) is what turns the memory system into takes-per-kept ratios and credit budgets.

The 5-second rule: when the user reports a result, ask at most ONE question ("keep or reject — what failed?") and write the row yourself with one higgsfield_memory.py log-gen command. Never ask twice; never present a form. Full workflow: skills/higgsfield-recall/SKILL.md § Log the Generation Result. Ratios and budgeting: skills/higgsfield-assist/SKILL.md.

---

@ Reference Rules

• User uploads a document (script, bible, brief, reference notes): read it from workspace/input/; if it landed elsewhere, move it there first (see Working Folders above)
• User uploads image: use [reference image] or describe it as "the provided reference"
• For Soul ID character: note "using Soul ID character reference" in the prompt
• For video extension: note "extend from [reference video], continue with..."
• For style transfer: note "match the visual style of [reference image]"

---

Shared Resources

Resource	What it contains	When to use
skills/shared/negative-constraints.md	All generation artifacts + prevention phrases, by category	Check before every prompt — append relevant constraints
templates/	10 annotated genre templates with examples, models, annotations, variations	When user request matches a common genre — use as starting point
templates/seedance/	5 Seedance technique templates: top-down-map, multi-character-anchor, single-character-position, worked-example-two-character, anime-animation	When Seedance request is technique-shaped (spatial blocking, multi-character anchoring, anime/stylized-2D)
templates/text-overlays/	3 text-rendering templates: slogan, subtitle, speech-bubble	When user request includes on-screen text rendering

---

Sub-Skills (auto-loaded as needed)

Skill	Trigger
higgsfield-workspaces	User is choosing a workspace / asking "what should I use for X" / hasn't picked a tool yet
higgsfield-prompt	Any prompt writing or refinement request
higgsfield-image-shots	Cinematic image prompts — shot framing, angles, composition
higgsfield-gpt-image-2	GPT Image 2.0 prompts — three-format taxonomy (JSON / prose / meta-prompt), UI mockups, infographics, reference sheets, static-ad recreation
higgsfield-models	"Which model should I use?" / model comparison
higgsfield-camera	Camera movement questions (video)
higgsfield-motion	Named preset requests (Explosion, Werewolf, VFX, etc.)
higgsfield-style	Visual style / aesthetic questions
higgsfield-soul	Character consistency / Soul ID
higgsfield-character-design	Pre-production story bible — premise / world / 9-question character / story spine / visual DNA (before prompting)
higgsfield-apps	One-click app recommendations
higgsfield-recipes	Genre scene templates
higgsfield-troubleshoot	Failed generations / quality issues
higgsfield-moodboard	Moodboard / Soul Hex / project-level style consistency
higgsfield-mixed-media	Artistic preset overlays (Noir, Sketch, Particles, etc.)
higgsfield-assist	Higgsfield Assist copilot / credit optimization / plan selection
higgsfield-cinema	Cinema Studio 2.5 + 3.0 + 3.5 / Soul Cast / color grading / optical physics / multi-shot / Elements / Smart mode / @ references / Style Settings / Camera Settings / Manual Style
higgsfield-marketing-studio	Marketing Studio / DTC Ads / ad video / UGC video / Hyper Motion / TV Spot / Wild Card / Pro Virtual Try On / hook + setting picklists / 4–15s ad video / marketing_studio_video MCP / cross-surface workflow
higgsfield-content-factory	Campaign pipeline (research → plan → generate → publish → report) / UGC-first 5-format mix / batch generation gate / Meta Ads scheduling / cost-savings report
higgsfield-canvas	Node-based Canvas workspace / infinite board / chain prompts→images→videos / named canvas patterns / build-free generate-paid cost model / Shared Canvas live collaboration
higgsfield-pipeline	Multi-shot workflow / tool chaining / full production pipeline
higgsfield-vibe-motion	Vibe Motion — motion graphics / kinetic typography / brand + logo animation as Remotion code (crisp text, exact colors, deployable)
higgsfield-motion-design	Animated-ad flow brief → storyboard → Seedance video (AI pixel render, not code; classicMD/highMD)
higgsfield-recall	Pre-generation memory check / apply past failure fixes
higgsfield-audio	Audio design, dialogue, SFX, ambient sound for audio-capable models
higgsfield-seedance	Seedance 2.0 / Pro prompt director + content-filter preflight linter
higgsfield-shotlist-director	Brief/script → one connected Seedance shotlist (style prefix + @-glossary + named per-scene prompts) as editable HTML
higgsfield-facs	FACS Action Unit codes for precise facial expressions in Seedance 2.0 — forced/uncanny/mixed expressions, close-up dialogue facial acting, emotion→AU recipes, FACS reference sheets
higgsfield-stack	User mentions the Higgsfield CLI / MCP connector / bundled skills, or asks how this skill coexists with those execution surfaces

Full vocabulary in vocab.md Full motion preset library in skills/higgsfield-motion/SKILL.md Model comparison in model-guide.md Example prompts in prompt-examples.md Shared negative constraints in skills/shared/negative-constraints.md Genre-specific annotated templates in templates/