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Last commit on September 27, 2026·Created on March 8, 2026

OSideMedia/higgsfield-ai-prompt-skill

“A cinematic prompting system for high-fidelity video acting and 3D asset generation”
Combined rank
#470
across all skills
In Media
#23
category rank
Stars
674
+6.3% in last 7d
Forks
118
+5.4% in last 7d
Watchers
2
0.0% in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
TL;DR

This skill set provides a structured framework for AI filmmakers to move beyond generic video outputs. It focuses on the character-performance layer, using a specialized acting system to eliminate wooden expressions and replace them with behavior under pressure.

Beyond performance, the repository includes technical guidance for creating 3D meshes and GLB assets through image-to-3D and text-to-3D workflows, alongside specialized modules for audio prompting and camera control.

WHO IT'S FOR
AI filmmakers
generate cinematic video prompts with high-fidelity acting
3D artists and technical directors
create 3D meshes, rigs, and GLB assets
Character designers
maintain visual and behavioral character consistency
AI video prompt engineers
implement advanced motion control and cinematic frameworks
Repository contents

36 skill files

Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.

Use this skill collection

Follow the documented setup, then try a first task.

I’m using

Claude Code repository clone

Installs: Complete Higgsfield AI Prompt Skill repository and skill library · Claude Code

Before you start

Platform: Claude Code

  1. Run this command in a terminal. It clones the complete repository into Claude Code's Higgsfield skills directory.

    git clone https://github.com/OSideMedia/higgsfield-ai-prompt-skill ~/.claude/skills/higgsfield
README.md ↗ · Checked Oct 2, 2026

Give it something to do.

Suggested first task

Audit a scene before generating it

Uses higgsfield-scene-engine

  • Scene text or a path to a scene, sequence, beat outline, or script document
Use higgsfield-scene-engine to audit this scene before I spend credits generating it: [paste the scene text or provide its document path]. Give me a concise assessment of its Goal, Obstacle, Tactic, Reversal, and Value Shift, then identify the single weakest element and suggest one focused revision.
Suggested first task

Adapt an action-scene recipe

Uses higgsfield-recipes

  • Subject description
  • Environment
  • Obstacle
  • Climax action
  • Warm or cold color direction
  • Aspect ratio
Use higgsfield-recipes to adapt Recipe 1: Action / Chase into one ready-to-review scene prompt. Replace every bracketed field using my details: subject [description], environment [setting], obstacle [obstacle], climax action [action], color temperature [warm or cold], and aspect ratio [ratio]. Do not generate or publish anything.
Suggested first task

Choose an app for one output

Uses higgsfield-apps

  • A description of the desired image, video, ad, character, effect, or audio output
  • Available input assets, if any
Use higgsfield-apps to recommend one Higgsfield App for this desired output: [describe the output]. Tell me what input asset or description that App needs and briefly explain why it fits better than manual prompting for this case. Do not run the App.