higgsfield-ai

    higgsfield-ai/skills

    backend
    Python
    MIT
    1.8K stars
    338 forks
    1.8K GitHub watchers
    Updated Nov 2, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 6 contributors on GitHub.

    Use Cases & Benefits

    • Provides AI agent skills for generating images, videos, audio, and complete visual brand systems with integrated marketing and virality analysis tools.
    • Offers a comprehensive, modular skillset that integrates multiple AI models and workflows for seamless brand asset creation and multimedia content generation.
    • Use for creating branded product photoshoots with mode-specific enhancements like studio, lifestyle, and virtual try-on imagery.
    • Use for building and deploying full-stack React websites and web apps with embedded AI-generated media assets on Cloudflare Workers.
    • Use for producing narrated explainer videos and high-impact YouTube thumbnails with identity-preserving references and controlled visual variants.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the 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.

    Pick one. Each method handles the Higgsfield CLI install and auth as part of skill setup.

    Excerpt from the higgsfield-ai/skills README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Oct 28: +62Oct 29: +24Oct 30: +45Oct 31: +6Nov 1: +11Nov 2: +12

    +160 stars over 6 days across 7 snapshot days; best day +62 on Oct 28.

    Forks

    338+18

    Open issues

    5+0

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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    higgsfield-ai/skills1.8K—15—
    Category median56.0K+2.3K29—

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