Higgsfield AI Skills: AI agent skills for image/video generation and complete visual brand systems (1.7k stars)
What it does
All text below is quoted directly from the project README.
>AI agent skills for image/video generation and complete visual brand systems 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.
Skills:
- higgsfield-generate: Image, video, 3D, and audio generation across 30+ models (Nano Banana 2, Soul V2, Veo 3.1, Kling 3.0, Seedance 2.5, Seed Audio 1.0, Flux 2, GPT Image 2.5, …), plus Marketing Studio for branded ads with avatars/products/hooks/settings and Virality Predictor scoring for finished videos.
- 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: 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-brandkit: Create or extend a complete visual identity: palettes, editable SVG logo marks, typography, mockups, social graphics, packaging, signage, merchandise, decks, and canonical PPTX/PDF brandbooks.
- higgsfield-marketplace-cards: Marketplace product cards: compliant main image, secondary product images, and A+ style modules via backend prompt enhancement.
- 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.
- higgsfield-video-explainer: Create a narrated non-photoreal explainer as matched Seed Audio + Gemini Omni blocks, then assemble the final MP4 with explainer_video.
- higgsfield-youtube-thumbnail: Create truthful, high-impact YouTube thumbnails and vertical video covers with identity-preserving references, controlled variants, focused edits, and optional text-overlay guidance.
>npx skills add higgsfield-ai/skills
Repository
higgsfield-ai/skills
Repository stats
|Metric|Value|
|:-|:-|
|Stars|1,669|
|Forks|320|
|Last release|None|
|Languages|Python 93.7%, Shell 6.3%|
|Contributors|8|
|AI contributor accounts (Claude / Codex / Cursor / Copilot)|@claude (42 commits)|
|AI co-authored commits|Claude: 42|
Main contributor
|Field|Value|
|:-|:-|
|Name|Nurdaulet Bolatov|
|GitHub|@nurdabolatov|
|Commits to this repo|49 (top contributor)|
|Bio|Software Engineer|
|Company / Location|Facebook / Almaty, Kazakhstan|
|Followers|69|
──────────────────────────────
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7 points
Higgsfield: multi node training without crying (6.2k stars)
What it does
All text below is quoted directly from the project README.
>Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
How it's all done?
- We install all the required tools in your server (Docker, your project's deploy keys, higgsfield binary).
- Then we generate deploy & run workflows for your experiments.
- As soon as it gets into Github, it will automatically deploy your code on your nodes.
- Then you access your experiments' run UI through Github, which will launch experiments and save the checkpoints.
>pip install higgsfield==0.0.3
Repository
higgsfield-ai/higgsfield
Repository stats
|Metric|Value|
|:-|:-|
|Stars|6,223|
|Forks|1.1k|
|Last release|v0.0.4-rc (2024-03-23)|
|Languages|Jupyter Notebook 82.3%, Python 16.2%, Jinja 1.5%|
|Contributors|4|
|AI contributor accounts (Claude / Codex / Cursor / Copilot)|None|
|AI co-authored commits|None|
Main contributor
|Field|Value|
|:-|:-|
|Name|Omar Änwar|
|GitHub|@arpanetus|
|Commits to this repo|25 (top contributor)|
|Bio|Applied FOMO-Ops Engineer|
|Followers|154|
──────────────────────────────
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14 points
Mentions
今日のcreator向け候補は、画像・動画・3D生成をagentから呼ぶSkill集。 higgsfield-ai/skillsはHiggsfield CLI向け。画像・動画・3D・音声生成のほか、brand kit、product photo、広告制作のworkflowを案内します。生成にはHiggsfield側の認証が必要です。 higgsfield-ai/skills
This GitHub Repo Turns AI Agents Into Creative Studios 🤯 #Shorts#HiggsfieldAI #GitHub#AITool#AIAgent 🤯 What if your AI coding agent could help you generate images, videos, YouTube thumbnails, product photos, and even complete brand identities? Meet **Higgsfield AI Skills** — an open-source GitHub repository that adds powerful creative workflows to compatible AI coding agents like Claude Code, Cursor, and Codex. 🚀 ✨ What you can explore: - 🎨 AI image and video generation - 🖼️ YouTube thumbnail creation - 🏷️ Branding and product photography - 🎬 AI-powered marketing videos - 🌐 Website building workflows 🔗 GitHub Repository: higgsfield-ai/skills ⭐ Explore the repo and discover what AI agents can do! Follow **Tech Finds** for more useful AI tools, trending GitHub projects, and developer resources. #HiggsfieldAI #GitHub #AITools #AIAgents #OpenSource #ClaudeCode #CursorAI #TechFinds #Shorts
Higgsfield AI Skills: AI agent skills for image/video generation and complete visual brand systems (1.7k stars) What it does All text below is quoted directly from the project README. >AI agent skills for image/video generation and complete visual brand systems 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. Skills: - higgsfield-generate: Image, video, 3D, and audio generation across 30+ models (Nano Banana 2, Soul V2, Veo 3.1, Kling 3.0, Seedance 2.5, Seed Audio 1.0, Flux 2, GPT Image 2.5, …), plus Marketing Studio for branded ads with avatars/products/hooks/settings and Virality Predictor scoring for finished videos. - 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: 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-brandkit: Create or extend a complete visual identity: palettes, editable SVG logo marks, typography, mockups, social graphics, packaging, signage, merchandise, decks, and canonical PPTX/PDF brandbooks. - higgsfield-marketplace-cards: Marketplace product cards: compliant main image, secondary product images, and A+ style modules via backend prompt enhancement. - 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. - higgsfield-video-explainer: Create a narrated non-photoreal explainer as matched Seed Audio + Gemini Omni blocks, then assemble the final MP4 with explainer_video. - higgsfield-youtube-thumbnail: Create truthful, high-impact YouTube thumbnails and vertical video covers with identity-preserving references, controlled variants, focused edits, and optional text-overlay guidance. >npx skills add higgsfield-ai/skills Repository higgsfield-ai/skills Repository stats |Metric|Value| |:-|:-| |Stars|1,669| |Forks|320| |Last release|None| |Languages|Python 93.7%, Shell 6.3%| |Contributors|8| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|@claude (42 commits)| |AI co-authored commits|Claude: 42| Main contributor |Field|Value| |:-|:-| |Name|Nurdaulet Bolatov| |GitHub|@nurdabolatov| |Commits to this repo|49 (top contributor)| |Bio|Software Engineer| |Company / Location|Facebook / Almaty, Kazakhstan| |Followers|69| ────────────────────────────── 📌 How many great GitHub repos have you discovered and completely forgotten about? Don't let another useful tool disappear into your Reddit feed. Get the community's best repos, organized by category, plus key takeaways from real developer discussions, delivered to your inbox twice a week. 📬 Never lose track of great repos again. Subscribe free.
Higgsfield: multi node training without crying (6.2k stars) What it does All text below is quoted directly from the project README. >Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters How it's all done? - We install all the required tools in your server (Docker, your project's deploy keys, higgsfield binary). - Then we generate deploy & run workflows for your experiments. - As soon as it gets into Github, it will automatically deploy your code on your nodes. - Then you access your experiments' run UI through Github, which will launch experiments and save the checkpoints. >pip install higgsfield==0.0.3 Repository higgsfield-ai/higgsfield Repository stats |Metric|Value| |:-|:-| |Stars|6,223| |Forks|1.1k| |Last release|v0.0.4-rc (2024-03-23)| |Languages|Jupyter Notebook 82.3%, Python 16.2%, Jinja 1.5%| |Contributors|4| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|None| |AI co-authored commits|None| Main contributor |Field|Value| |:-|:-| |Name|Omar Änwar| |GitHub|@arpanetus| |Commits to this repo|25 (top contributor)| |Bio|Applied FOMO-Ops Engineer| |Followers|154| ────────────────────────────── 📌 How many great GitHub repos have you discovered and completely forgotten about? Don't let another useful tool disappear into your Reddit feed. Get the community's best repos, organized by category, plus key takeaways from real developer discussions, delivered to your inbox twice a week. 📬 Never lose track of great repos again. Subscribe free.
🔥 GitHub週間急上昇 #1/3 higgsfield-ai/skills ⭐ 今週 +406 / 累計 1,754 Python Higgsfield AIをAIエージェントから利用するスキル集。画像・動画・音声の生成から、ブランド素材や商品写真、Webサイトの制作まで行える。 higgsfield-ai/skills #AI #GitHub
READMEによると、画像や動画はVeo 3.1やKling 3.0など30以上のモデルから選べて、Claude Codeならプラグインとしても入れられる。生成自体はHiggsfieldのサービス側で動くので、先にhiggsfield auth loginでログインしておく形。 参考: higgsfield-ai/skills
🔗 All 9 Open-Source GitHub Repositories: 1. Cap (Loom alternative): CapSoftware/Cap 2. Cal.com (Calendly alternative): calcom/cal.com 3. VoiceStudio (ElevenLabs alternative): VoiceStudio/VoiceStudio 4. Chatwoot (Intercom alternative): chatwoot/chatwoot 5. OpenProject (Asana alternative): opf/openproject 6. OpenSEO (Semrush alternative): every-app/open-seo 7. WeKnora (Notion AI alternative): WeKnora/WeKnora 8. OpenWhispr (Wispr Flow alternative): openwhispr/openwhispr 9. Open Higgsfield (AI Video alternative): github.com/Higgsfield-AI 💬 Quick poll: Which one are you cloning or deploying first? (Or tell us which paid software should get replaced next!) 👇
又找到一个做游戏的开源项目 这个开源项目提供了 74 个游戏开发 Skills，角色移动、关卡设计、存档、打击感都有 而且支持 Godot、Unity、Unreal、Phaser、PixiJS、three.js、Bevy、pygame、LÖVE 和 Roblox 等多平台 武器到手，这下高低得做个游戏试试了 gamedev-skills/awesome-gamedev-agent-skills t.co