这是一套通过Higgsfield AI生成图片和视频的AI智能体技能，包含营销工作室和病毒式预测评分功能。支持Claude Code、Cursor、Codex等能加载Markdown技能的编程智能体。安装方式多样，可以用npx、GitHub CLI或者直接在Claude Code里装，每种方式都会自动处理CLI安装和认证。核心技能是调用/higgsfield:generate命令，支持30多种模型，包括Nano Banana 2、Soul V2、Veo 3.1、Kling 3.0这些热门模型，能生成图片、视频、3D和音频，还带营销工作室功能。适合做内容创作和社交媒体营销的人。
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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