/higgsfield-image-shots
Use when the user wants to generate a cinematic still image on Higgsfield, asks about shot framing, camera angle, or composition for image prompts, needs a specific shot type (close-up, wide shot, cowboy shot, etc.), or is working with [img] reference-based image generation.
$ npx -y skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-image-shots --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/higgsfield-image-shots
Context preview
The summary Claude sees to decide when to auto-load this skill.
Use when the user wants to generate a cinematic still image on Higgsfield, asks about shot framing, camera angle, or composition for image prompts, needs a specific shot type (close-up, wide shot, cowboy shot, etc.), or is working with [img] reference-based image generation.
SKILL.md
higgsfield-image-shots.SKILL.mdname: higgsfield-image-shots
description: >
Use when the user wants to generate a cinematic still image on Higgsfield,
asks about shot framing, camera angle, or composition for image prompts,
needs a specific shot type (close-up, wide shot, cowboy shot, etc.),
or is working with [img] reference-based image generation. Covers distance
& size shots, camera angles, and camera movement keywords optimized for
AI image models (Soul 2.0, Nano Banana, Seedream, GPT Image, Flux, etc.).
user-invocable: true
metadata:
tags: [higgsfield, image, shots, framing, angle, composition, cinematic, portrait, close-up, wide-shot]
version: 3.0.0
updated: 2026-04-06
parent: higgsfield
Higgsfield Cinematic Image Prompting
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.*
- Scope: still-image composition only; `[img 1]` is the Soul ID / uploaded reference token — replace with a character description or @ Element when no reference is used [→](#how-to-use-this-reference)
- Base pattern: [Shot keyword] of [img 1 or character description] + [pose/action] + [environment detail] + [lighting/atmosphere] [→](#how-to-use-this-reference)
- 10 framing sizes, EWS → Macro: EWS tiny-in-landscape, Wide full body, Full head-to-toe, MLS knees up, Cowboy mid-thigh up, Medium waist up, MCU chest up, CU face, ECU single detail, Macro texture [→](#distance-size-quick-reference)
- Framing keywords: "EWS, Vast, Landscape" / "Wide Shot, Full Body" / "Cowboy Shot" / "MCU" / "Close-Up" / "ECU" / "Macro" [→](#distance-size-quick-reference)
- 10 angles: Eye-Level, Low Angle, High Angle, Overhead, Worm's Eye, Dutch/Canted, OTS, POV, Selfie, Ground Level [→](#angles-quick-reference)
- Angle = emotional read: Low = power, High = vulnerability, Dutch = unease/chaos, Worm's Eye = extreme power/surreal [→](#angles-quick-reference)
- Multi-word angle keywords: "POV, First Person Perspective" / "Selfie Angle, Arm's Length" / "Ground Level, Surface View" [→](#angles-quick-reference)
- OTS = looking past one person's shoulder at another — essential for dialogue [→](#over-the-shoulder-ots)
- Movement keywords create the FEELING of motion in a single frame — motion blur, implied movement, frozen mid-movement [→](#camera-movements-implied-in-still-images)
- Static/Basic movements: Static, Pan, Tilt, Zoom In / Zoom Out, Pedestal Up/Down [→](#static-basic)
- Advanced Physical movements: Dolly In, Dolly Out, Truck Left/Right, Orbit, Crane [→](#advanced-physical)
- Cinematic & AI movements: Dolly Zoom (Vertigo), Crash Zoom, FPV, Bullet Time, Handheld Follow, Camera Roll, Rack Focus, Pull Back Reveal, Fly-Through [→](#cinematic-ai)
- Strongest prompts layer all three: [Distance/Size] + [Angle] + [Movement hint] + Subject + Environment + Lighting [→](#combining-shot-angle-movement)
- Full formula closes with [Lighting — time of day, source, quality] then [Style — cinematic, film stock, color grade] [→](#image-prompt-formula-for-cinematic-stills)
This skill covers **still image** shot composition — framing, angles, and implied camera movement for AI image generation. Use these keywords and patterns when building prompts for any Higgsfield image model.
**Key difference from video camera controls:** These are composition directives for a single frame. The `[img 1]` token references a Soul ID character or uploaded reference image. Replace it with your character description or @ Element when no reference image is used.
---
How to Use This Reference
Every entry has:
- **Shot/Movement** — the cinematography term
- **AI Prompt Keyword** — the exact words to put in your image prompt
- **Purpose** — what emotional/compositional effect it creates
- **Prompt Example** — a ready-to-adapt prompt phrase
**Prompt pattern for image generation:**
[Shot keyword] of [img 1 or character description] + [pose/action] + [environment detail] + [lighting/atmosphere]
---
Distance & Size — Shot Framing
These control how much of the subject fills the frame and how much environment is visible. Choose based on whether the image is about the world, the character, or a detail.
Extreme Wide Shot (EWS)
**AI Prompt Keyword:** EWS, Vast, Landscape **Definition:** The subject is barely visible; emphasizes the vast landscape or location. **Purpose:** Establish vastness, show isolation, or emphasize scale. **Prompt Example:**
Extreme wide shot of [img 1] standing alone in a vast, empty frozen tundra.
The subject is small in the distance, surrounded by massive snowy mountains.
Cinematic lighting
---
Wide Shot (WS) / Long Shot
**AI Prompt Keyword:** Wide Shot, Full Body **Definition:** Shows the full subject within their environment. **Purpose:** Provide context and spatial awareness. **Prompt Example:**
Wide shot of [img 1] standing full body in a snowstorm. She is wearing fur armor,
boots visible, centered in a snowy forest clearing. Environmental context.
---
Full Shot
**AI Prompt Keyword:** Full Shot, Framed **Definition:** Frames the subject from head to toe while filling more of the frame. **Purpose:** Balance character detail with environment. **Prompt Example:**
Full body shot of [img 1] from head to toe. She stands confidently in the snow,
holding a weapon at her side. Detailed costume design
---
Medium Long Shot (MLS)
**AI Prompt Keyword:** Medium Long Shot **Definition:** Frames the subject from knees up. **Purpose:** Natural framing for movement or dialogue. **Prompt Example:**
Medium long shot of [img 1] framed from the knees up. She is walking through
deep snow, looking towards the horizon. 3/4 angle view.
---
Cowboy Shot
**AI Prompt Keyword:** Cowboy Shot **Definition:** Frames subject from mid-thigh up. **Purpose:** Emphasize posture, readiness, or action. **Prompt Example:**
Cowboy shot of [img 1] framed from mid-thigh up. Focus on
Read more
name: higgsfield-image-shots description: > Use when the user wants to generate a cinematic still image on Higgsfield, asks about shot framing, camera angle, or composition for image prompts, needs a specific shot type (close-up, wide shot, cowboy shot, etc.), or is working with [img] reference-based image generation. Covers distance & size shots, camera angles, and camera movement keywords optimized for AI image models (Soul 2.0, Nano Banana, Seedream, GPT Image, Flux, etc.). user-invocable: true metadata: tags: [higgsfield, image, shots, framing, angle, composition, cinematic, portrait, close-up, wide-shot] version: 3.0.0 updated: 2026-04-06 parent: higgsfield
Higgsfield Cinematic Image Prompting
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.*
- Scope: still-image composition only; `[img 1]` is the Soul ID / uploaded reference token — replace with a character description or @ Element when no reference is used [→](#how-to-use-this-reference)
- Base pattern: [Shot keyword] of [img 1 or character description] + [pose/action] + [environment detail] + [lighting/atmosphere] [→](#how-to-use-this-reference)
- 10 framing sizes, EWS → Macro: EWS tiny-in-landscape, Wide full body, Full head-to-toe, MLS knees up, Cowboy mid-thigh up, Medium waist up, MCU chest up, CU face, ECU single detail, Macro texture [→](#distance-size-quick-reference)
- Framing keywords: "EWS, Vast, Landscape" / "Wide Shot, Full Body" / "Cowboy Shot" / "MCU" / "Close-Up" / "ECU" / "Macro" [→](#distance-size-quick-reference)
- 10 angles: Eye-Level, Low Angle, High Angle, Overhead, Worm's Eye, Dutch/Canted, OTS, POV, Selfie, Ground Level [→](#angles-quick-reference)
- Angle = emotional read: Low = power, High = vulnerability, Dutch = unease/chaos, Worm's Eye = extreme power/surreal [→](#angles-quick-reference)
- Multi-word angle keywords: "POV, First Person Perspective" / "Selfie Angle, Arm's Length" / "Ground Level, Surface View" [→](#angles-quick-reference)
- OTS = looking past one person's shoulder at another — essential for dialogue [→](#over-the-shoulder-ots)
- Movement keywords create the FEELING of motion in a single frame — motion blur, implied movement, frozen mid-movement [→](#camera-movements-implied-in-still-images)
- Static/Basic movements: Static, Pan, Tilt, Zoom In / Zoom Out, Pedestal Up/Down [→](#static-basic)
- Advanced Physical movements: Dolly In, Dolly Out, Truck Left/Right, Orbit, Crane [→](#advanced-physical)
- Cinematic & AI movements: Dolly Zoom (Vertigo), Crash Zoom, FPV, Bullet Time, Handheld Follow, Camera Roll, Rack Focus, Pull Back Reveal, Fly-Through [→](#cinematic-ai)
- Strongest prompts layer all three: [Distance/Size] + [Angle] + [Movement hint] + Subject + Environment + Lighting [→](#combining-shot-angle-movement)
- Full formula closes with [Lighting — time of day, source, quality] then [Style — cinematic, film stock, color grade] [→](#image-prompt-formula-for-cinematic-stills)
This skill covers **still image** shot composition — framing, angles, and implied camera movement for AI image generation. Use these keywords and patterns when building prompts for any Higgsfield image model.
**Key difference from video camera controls:** These are composition directives for a single frame. The `[img 1]` token references a Soul ID character or uploaded reference image. Replace it with your character description or @ Element when no reference image is used.
---
How to Use This Reference
Every entry has:
- **Shot/Movement** — the cinematography term
- **AI Prompt Keyword** — the exact words to put in your image prompt
- **Purpose** — what emotional/compositional effect it creates
- **Prompt Example** — a ready-to-adapt prompt phrase
**Prompt pattern for image generation:**
[Shot keyword] of [img 1 or character description] + [pose/action] + [environment detail] + [lighting/atmosphere]
---
Distance & Size — Shot Framing
These control how much of the subject fills the frame and how much environment is visible. Choose based on whether the image is about the world, the character, or a detail.
Extreme Wide Shot (EWS)
**AI Prompt Keyword:** EWS, Vast, Landscape **Definition:** The subject is barely visible; emphasizes the vast landscape or location. **Purpose:** Establish vastness, show isolation, or emphasize scale. **Prompt Example:**
Extreme wide shot of [img 1] standing alone in a vast, empty frozen tundra. The subject is small in the distance, surrounded by massive snowy mountains. Cinematic lighting
---
Wide Shot (WS) / Long Shot
**AI Prompt Keyword:** Wide Shot, Full Body **Definition:** Shows the full subject within their environment. **Purpose:** Provide context and spatial awareness. **Prompt Example:**
Wide shot of [img 1] standing full body in a snowstorm. She is wearing fur armor, boots visible, centered in a snowy forest clearing. Environmental context.
---
Full Shot
**AI Prompt Keyword:** Full Shot, Framed **Definition:** Frames the subject from head to toe while filling more of the frame. **Purpose:** Balance character detail with environment. **Prompt Example:**
Full body shot of [img 1] from head to toe. She stands confidently in the snow, holding a weapon at her side. Detailed costume design
---
Medium Long Shot (MLS)
**AI Prompt Keyword:** Medium Long Shot **Definition:** Frames the subject from knees up. **Purpose:** Natural framing for movement or dialogue. **Prompt Example:**
Medium long shot of [img 1] framed from the knees up. She is walking through deep snow, looking towards the horizon. 3/4 angle view.
---
Cowboy Shot
**AI Prompt Keyword:** Cowboy Shot **Definition:** Frames subject from mid-thigh up. **Purpose:** Emphasize posture, readiness, or action. **Prompt Example:**
Cowboy shot of [img 1] framed from mid-thigh up. Focus on
A comprehensive Claude skill library for generating high-quality prompts on Higgsfield AI — the cinematic video and image generation platform.
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Open skill

