[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-11154":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":8,"htmlUrl":8,"language":9,"languages":8,"totalLinesOfCode":8,"stars":10,"forks":11,"watchers":12,"openIssues":13,"contributorsCount":13,"subscribersCount":13,"size":13,"stars1d":14,"stars7d":15,"stars30d":16,"stars90d":13,"forks30d":13,"starsTrendScore":17,"compositeScore":18,"rankGlobal":8,"rankLanguage":8,"license":19,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":20,"hasPages":20,"topics":22,"createdAt":8,"pushedAt":8,"updatedAt":23,"readmeContent":24,"aiSummary":25,"trendingCount":13,"starSnapshotCount":13,"syncStatus":26,"lastSyncTime":27,"discoverSource":28},11154,"skills","higgsfield-ai\u002Fskills","higgsfield-ai",null,"Shell",386,52,1,0,21,45,154,63,92.17,"MIT License",false,"main",[],"2026-06-12 04:00:53","# Higgsfield AI Skills\n\n[![License: MIT](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-MIT-blue.svg)](.\u002FLICENSE)\n[![Version](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fversion-0.3.0-green.svg)](.\u002FVERSION)\n[![Skills](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fskills-4-blueviolet.svg)](#skills)\n[![Discord](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fdiscord-join-5865F2?logo=discord&logoColor=white)](https:\u002F\u002Fdiscord.com\u002Finvite\u002Fhiggsfield)\n\nAI agent skills for image\u002Fvideo generation via [Higgsfield AI](https:\u002F\u002Fhiggsfield.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.\n\n## Install\n\nPick one. Each method handles the Higgsfield CLI install and auth as part of skill setup.\n\n### `npx skills` — recommended, cross-agent\n\n```bash\nnpx skills add higgsfield-ai\u002Fskills\n```\n\n### `gh skill install`\n\nGitHub CLI v2.90+:\n\n```bash\ngh skill install higgsfield-ai\u002Fskills\n```\n\n### Claude Code marketplace\n\nInside Claude Code:\n\n```\n\u002Fplugin marketplace add higgsfield-ai\u002Fskills\n\u002Fplugin install higgsfield@higgsfield\n```\n\n### Setup script\n\nUniversal fallback:\n\n```bash\ngit clone --depth 1 https:\u002F\u002Fgithub.com\u002Fhiggsfield-ai\u002Fskills.git\ncd skills\n.\u002Fsetup\n```\n\nMore options in [INSTALL.md](.\u002FINSTALL.md). Agent-driven install (paste into your agent): [INSTALL_FOR_AGENTS.md](.\u002FINSTALL_FOR_AGENTS.md).\n\n## Skills\n\n| Skill | Invoke | Description |\n|---|---|---|\n| [`higgsfield-generate`](.\u002Fhiggsfield-generate) | `\u002Fhiggsfield:generate` | Image and video generation across 30+ models (Nano Banana 2, Soul V2, Veo 3.1, Kling 3.0, Seedance 2.0, Flux 2, GPT Image 2, …), plus Marketing Studio for branded ads with avatars\u002Fproducts\u002Fhooks\u002Fsettings and Virality Predictor scoring for finished videos. |\n| [`higgsfield-soul-id`](.\u002Fhiggsfield-soul-id) | `\u002Fhiggsfield:soul-id` | Train a Soul Character — a reusable, face-faithful identity model. Returns a `reference_id` consumable by Soul-aware generation. |\n| [`higgsfield-product-photoshoot`](.\u002Fhiggsfield-product-photoshoot) | `\u002Fhiggsfield: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`. |\n| [`higgsfield-marketplace-cards`](.\u002Fhiggsfield-marketplace-cards) | `\u002Fhiggsfield:marketplace-cards` | Marketplace product cards: compliant main image, secondary product images, and A+ style modules via backend prompt enhancement. |\n\nThe skills chain: train Soul → use the reference id in `generate` (including Marketing Studio jobs). `product-photoshoot` and `marketplace-cards` are self-contained — backend enhances prompts before submitting image jobs.\n\n### Modes\n\n**`higgsfield-product-photoshoot`** — 10 modes for brand visuals:\n\n| Mode | What it's for |\n|---|---|\n| `product_shot` | Product on neutral \u002F studio \u002F catalog background |\n| `lifestyle_scene` | Product in a real environment — hands, action, atmosphere |\n| `closeup_product_with_person` | Tight crop with hands or partial face — beauty, demonstrating |\n| `moodboard_pin` | Vertical 2:3 Pinterest-native pin, moodboard feel |\n| `hero_banner` | Wide-format website \u002F email \u002F campaign header |\n| `social_carousel` | 3–10 connected slides for IG \u002F LinkedIn \u002F Facebook |\n| `ad_creative_pack` | Coordinated pack of static ad variants for Meta \u002F TikTok \u002F Pinterest \u002F Google |\n| `virtual_model_tryout` | Product worn or used by an AI-rendered model |\n| `conceptual_product` | Surreal \u002F CGI-style \u002F levitating \u002F splash \u002F sculptural product |\n| `restyle` | Transform an existing image's aesthetic, mood, or seasonal context |\n\n**`higgsfield-generate` Marketing Studio** — 9 modes for branded ad video:\n\n| Mode | What it's for |\n|---|---|\n| `ugc` | Default. Casual, organic-feel content from a presenter |\n| `ugc_how_to` | Tutorial \u002F explainer |\n| `ugc_unboxing` | Unboxing reveal |\n| `product_showcase` | Clean product highlight, polished |\n| `product_review` | Presenter giving an opinion |\n| `tv_spot` | Broadcast-style commercial |\n| `wild_card` | Experimental, model picks the vibe |\n| `ugc_virtual_try_on` | Trying on clothing — UGC vibe |\n| `virtual_try_on` | Trying on clothing — polished, model-driven |\n\n## Quick Reference\n\n| What you want | Skill | Note |\n|---|---|---|\n| Generate any image \u002F video from a prompt | `higgsfield-generate` | Prefers `gpt_image_2` \u002F `nano_banana_2` for images and `seedance_2_0` for video by default |\n| Image with my own face | `higgsfield-soul-id` then `higgsfield-generate` | One-time training, then `--soul-id` |\n| Branded product photo (studio \u002F lifestyle \u002F Pinterest \u002F hero \u002F ad pack) | `higgsfield-product-photoshoot` | Mode-specific prompt enhancer + `gpt_image_2` |\n| Marketplace product cards \u002F A+ style content | `higgsfield-marketplace-cards` | Main image, secondary images, and A+ style modules with hidden marketplace prompt templates |\n| Branded ad video \u002F UGC \u002F unboxing \u002F TV spot | `higgsfield-generate` | Marketing Studio mode with avatars + products + optional hooks\u002Fsettings |\n| Analyze a video's hook \u002F attention \u002F virality potential | `higgsfield-generate` | Uses Virality Predictor (`brain_activity`) with `--video`; returns score metrics plus an Open report link |\n| Train a custom face identity | `higgsfield-soul-id` | 5–20 photos, returns `reference_id` |\n| Image-to-video animation | `higgsfield-generate` | Prefer `seedance_2_0` with `--start-image`; use `kling3_0` as lower-cost fallback |\n\n## License\n\nMIT — see [LICENSE](.\u002FLICENSE).\n","Higgsfield AI Skills 是一个用于通过 Higgsfield AI 平台生成图像和视频的 AI 代理技能集合。它支持包括 Marketing Studio 和 Virality Predictor 视频评分在内的多种功能，兼容 Claude Code、Cursor、Codex 等基于 Markdown 的 AI 编码代理。该项目提供了多样化的安装方法以适应不同用户环境，如 npx、GitHub CLI 及直接脚本等。核心功能覆盖了从训练可复用的身份模型到创建品牌质量的产品图像等多个方面，适用于需要高质量视觉内容创作的营销、广告及电子商务场景。",2,"2026-06-11 03:31:16","CREATED_QUERY"]