Higgsfield Prompt

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 9e3a2f685c72 · 31 Oct 2026Report an issue or request a re-scan

• PublisherOSideMedia GitHub userOwner of the repository this skill is read from
• Source folderOSideMedia/higgsfield-ai-prompt-skill/skills/higgsfield-promptThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict9e3a2f685c72A new audit runs when the source changes
• Repository statusNot archivedLast push 6 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Use when building, writing, refining, or structuring a Higgsfield AI prompt. Covers the MCSLA formula, prompt structure, narrative vs. timestamped formats, and how to write for both text-to-video and image-to-video…

---
name: higgsfield-prompt
description: "Use when building, writing, refining, or structuring a Higgsfield AI prompt. Covers the MCSLA formula, prompt structure, narrative vs. timestamped formats, and how to write for both text-to-video and image-to-video workflows."
user-invocable: true
metadata:
  tags: [higgsfield, prompt, MCSLA, formula, text-to-video, image-to-video]
  version: 3.7.2
  updated: 2026-09-26
  parent: higgsfield
---

# Higgsfield Prompt Engineering

## QUICK FACTS
*Generated-checked block (scripts/build_index.py verifies anchors). Read the linked sections for full context — these lines are routing aids, not the rules themselves.*
- MCSLA = Model, Camera, Subject, Look, Action — the five layers of every prompt [→](#the-mcsla-formula)
- I2V: describe ONLY what moves or changes, never what's already in the image [→](#image-to-video-i2v)
- Keep prompts under 200 words — **short-form MCSLA regime only**; block-scaffold production prompts replace the cap with structural lint (HARD RULE 8 carve-out); Cinema Studio has a hard 512-character cap [→](#high-performing-prompt-patterns)
- 1 primary action per clip, 1–2 secondary max; Fast Motion Trick: render in Slow Mo, speed up in post [→](#one-action-per-scene)
- Never leave a generic emotion ("sad"/"angry") in a prompt — decompose into muscle movements, breath, eyes, skin [→](#generic-emotion-decomposition--which-kind-of-x)
- Soul ID / recurring characters: split every prompt into Identity Block + Motion Block — never mix them [→](#identity-vs-motion-separation-rule)
- Conflict order when sub-skills disagree: explicit user direction > scene archetype > emotion-sync [→](#conflict-resolution-between-sub-skills)
- Aspect ratio is a per-model enum set in the UI/header, never in the prompt body — verify via `../../specs/model-specs.yaml` [→](#common-prompt-mistakes)
- Never combine Dolly In + Dolly Out in one shot; @ Elements for static scenes, plain text for action [→](#common-prompt-mistakes)
- Iterate by changing exactly ONE variable per regeneration [→](#the-iteration-rule--change-one-variable-at-a-time)
- 6-Pass Diagnostic order: Subject → Action → Camera → Style → Audio → Output; most failures land on Pass 1–2 [→](#when-you-dont-know-whats-wrong-yet--the-6-pass-diagnostic-sequence)
- Seedance short-form: 30–100 words win; Subject + Action in the first 20–30 words. Block-scaffold production briefs run 218–2,059-word medians by register — see `../higgsfield-seedance/SKILL.md` § Official Prompt Architecture [→](#the-directors-formula--mcsla-mapping)
- Genre length targets: Product 30–50w, Lifestyle 40–60w, Drama 60–100w, Music Video 50–80w, Anime 50–90w [→](#genre-router--prompt-length--lead-with-targets)
- Kill slop words (beautiful, stunning, epic, amazing) — replace with concrete visuals/physics [→](#anti-slop-vocabulary)
- Seedance/CS 3.0 has NO negative-prompt syntax — phrase as positive constraints [→](#no-negative-prompts)
- Dialogue cap: ~25–30 spoken words fit in 15 seconds — keep the power-shift line, convert the rest to behavior [→](#dialogue-archetypes)
- Engine limits: ≤3 characters tracked across cuts; exit-frame = gone; off-screen = nonexistent; avoid reflections [→](#character--spatial-rules)
- Every cut must change BOTH shot size AND camera character [→](#double-contrast-cut-rule-mandatory)
- Age-blind rule: never boy/girl/child/kid/young/teen/little — describe by role, clothing, action [→](#age-blind-character-rule)
- Scenes start already in progress unless the user says "starts with..." or "ends with..." [→](#default-in-medias-res)


## The MCSLA Formula

Every high-performing Higgsfield prompt is built on five layers. Think of it as the
cinematographer's checklist — fill in each layer and the model has everything it needs.

| Letter | Element | Description | Example |
|--------|---------|-------------|---------|
| **M** | Model | Which generation engine | "Use Kling 2.6" |
| **C** | Camera | Named camera control | "FPV Drone shot weaving through the alley" |
| **S** | Subject | Who/what + appearance | "A woman in a sand-colored suit, sharp eyes" |
| **L** | Look | Style + color + lighting | "Cinematic, golden hour, anamorphic flare" |
| **A** | Action | What happens in the scene | "She turns slowly, wind lifting her coat" |

---

## Prompt Types

### Text-to-Video (T2V)
Start from nothing — describe the entire scene from scratch.
Best for: establishing scenes, abstract concepts, environments without a specific character.

```
[Subject + appearance].
[Environment — location, time, weather, atmosphere].
[Action — what happens and how].
[Camera — named control].
[Look — style + color grade].
```

**Example:**
```
A lone astronaut stands on the surface of a red desert planet, helmet visor reflecting
twin moons rising on the horizon. Dust spirals slowly in the thin atmosphere.
She turns to face the camera, gloved hand raised in a slow salute.
Camera: slow Crane Up revealing the vast emptiness behind her.
Style: Cinematic, desaturated orange and deep blue, 2.35:1 anamorphic.
```

---

### Image-to-Video (I2V)
Animate a provided still image. The image defines the starting frame.
Best for: character consistency, product shots, portrait animation, storyboard bring-to-life.

```
[Reference the input image as the first frame].
[Describe what should move, change, or animate — not what is already visible].
[Camera — named control].
[Style/atmosphere cues].
```

**Example:**
```
Starting from the provided image as the first frame.
The woman's hair lifts gently in the wind. She blinks slowly and turns her gaze
slightly to the left, a faint smile forming.
Camera: subtle Dolly In toward her face.
Style: Cinematic, warm afternoon light, shallow depth of field.
```

**Key rule for I2V:** Do NOT re-describe what is already in the image. Only describe
what should *change* or *animate*. Over-describing the static elements confuses the model.
This applies equally to an @Image used **as the starting frame** in Seedance/Cinema Studio

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/OSideMedia/higgsfield-ai-prompt-skill
git -C higgsfield-ai-prompt-skill checkout 9e3a2f685c72

Works in

1. 2026-10-31
   ✓SAFE B 89 / 100

   first audit · source 9e3a2f685c72

Questions about Higgsfield Prompt

• github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skill — the audited source at commit 9e3a2f685c72 and every finding aboveObserved · 31 Oct 2026

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