这是给AI编程助手用的图像视频生成技能包，支持Claude Code、Cursor、Codex这些工具。核心功能是通过Higgsfield AI生成图片、视频、3D和音频，内置30多个模型比如Nano Banana 2、Veo 3.1、Kling 3.0这些，还带营销工作室和视频热度预测功能。安装方式挺灵活，可以用npx、GitHub CLI或者直接在Claude Code里装，都有现成命令。适合做营销素材、短视频创作的场景，让AI代理直接帮你出图出视频，省得来回切换工具。
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Higgsfield AI Skills AI agent skills for image/video generation via Higgsfield AI, including Marketing Studio and Virality Predictor video scoring. Works with Claude Code, Cursor, Codex, and other AI coding agents that load Markdown based skills. Install Pick one. Each method handles the Higgsfield CLI install and auth as part of skill setup. npx skills — recommended, cross agent [安装/使用命令见下方] gh skill install GitHub CLI v2.90+: [安装/使用命令见下方] Claude Code marketplace Inside Claude Code: [安装/使用命令见下方] Setup script Universal fallback: [安装/使用命令见下方] More options in INSTALL.md. Agent driven install (paste into your agent): INSTALL FOR AGENTS.md. Skills Skill Invoke Description higgsfield generate /higgsfield:generate Image, video, 3D, and audio generation across 30+ models (Nano Banana 2, Soul V2, Veo 3.1, Kling 3.0, Seedance 2.0, Seed Audio 1.0, Flux 2, GPT Image 2, …), plus Marketing Studio for branded ads with avatars/products/hooks/settings and Virality Predictor scoring for finished videos. higgsfield soul id /higgsfield:soul id Train a Soul Character — a reusable, face faithful identity model. Returns a reference id consumable by Soul aware generation. higgsfield product photoshoot /higgsfield:product photoshoot Brand quality product imagery with mode specific prompt enhancement. 10 modes (studio, lifestyle, Pinterest, hero banner, ad packs, virtual try on, …) backed by gpt image 2 . higgsfield marketplace cards /higgsfield:marketplace cards Marketplace product cards: compliant main image, secondary product images, and A+ style modules via backend prompt enhancement. higgsfield websites /higgsfield:websites Build, edit, and deploy full stack websites — React 19 + TanStack Start, server rendered as one Cloudflare Worker with D1 / R2 / KV / Durable Objects / Containers. Create → get git repo access → edit locally → push → deploy preview/production, all via higgsfield website … . higgsfield video explainer /higgsfield:video explainer Create a narrated non photoreal explai