Summary

This project provides a unified interface for AI coding agents to leverage advanced image and video generation capabilities. It addresses the complexity of integrating diverse AI models by offering specialized skills for marketing, branding, and content creation, enabling efficient, high-quality AI-driven media production.

How It Works

The core of Higgsfield Skills is a collection of Markdown-based skills designed for AI agents like Claude Code and Cursor. These skills abstract over 30+ generation models (e.g., Nano Banana 2, Veo 3.1, Kling 3.0, Seedance 2.0) and provide specialized workflows. Key among these are Marketing Studio for branded ad videos, Product Photoshoot for diverse product imagery, and Virality Predictor for video performance scoring. A novel Soul Character feature allows training reusable, face-faithful AI identities for consistent character generation.

Quick Start & Requirements

Installation offers multiple pathways: npx skills (recommended, cross-agent bash), gh skill install (requires GitHub CLI v2.90+), Claude Code marketplace integration, or a setup script (git clone ... && ./setup). Specific hardware requirements like GPUs are not detailed for the skills themselves, but underlying models necessitate them. Further installation options are available in INSTALL.md and INSTALL_FOR_AGENTS.md.

Highlighted Details

• Integrates over 30 state-of-the-art image and video generation models.
• Marketing Studio offers 9 modes for branded ad videos, including UGC, TV spots, and virtual try-on.
• Product Photoshoot skill provides 10 modes for brand visuals, from studio shots to ad creative packs.
• Virality Predictor analyzes video attention and hook potential, returning score metrics and an Open report link.
• Enables training of reusable, face-faithful "Soul Characters" for consistent AI identity.

Maintenance & Community

The provided README snippet does not contain information regarding specific contributors, sponsorships, community channels (like Discord or Slack), or a public roadmap.

Licensing & Compatibility

The project is released under the MIT license. This license is permissive and generally allows for commercial use, modification, and distribution, including integration within closed-source applications without significant copyleft restrictions.

Limitations & Caveats

The README does not explicitly detail limitations, alpha status, or known bugs. The availability of multiple installation methods, including a "Universal fallback," suggests potential complexities or dependencies that may require further investigation via linked documentation (INSTALL.md, INSTALL_FOR_AGENTS.md).