Agent skill · creative production · aiskillstore
higgsfield-generate
Generate images/videos/3D assets/audio via Higgsfield AI. Defaults: GPT Image 2 for image/design/text, Seedance 2.0 for video, Nano Banana 2/Lite/Pro for character/reference images, Marketing Studio for ads, Seed Audio 1.0 for audio. Use when: "generate an image", "make a video", "animate this photo", "image-to-video", "edit/stylize/remix this image", "reframe this video", "edit this video from a sketch", "create a 3D model/GLB", "create a sound effect", "make music", "text-to-audio", "create an ad", "make a UGC video", "unboxing", "presenter video", "import product from URL", or "analyze video virality". Supports image-to-3D (`multi_image_to_3d`), text-to-audio/music (`seed_audio`), workflow generation (`draw_to_video`, `reframe`), Marketing Studio, and Virality Predictor (`brain_activity`). Chain with higgsfield-soul-id for face/identity consistency. NOT for: Soul Character training (use higgsfield-soul-id), product photoshoots, marketplace listing cards, text/chat/TTS tasks.
Why this skill is useful
Adds specific commands and workflows for generating multimedia content using Higgsfield AI that the AI wouldn't reliably generate on its own.
What it needs
Requires higgsfield installed locally. Requires higgsfield account access. About 11k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Higgsfield Generate Submit jobs to any Higgsfield model. Wraps the higgsfield CLI. Covers generic image/video/3D/audio generation, Marketing Studio (branded ads, avatars, products, hooks, settings), and, secondarily, Virality Predictor video scoring. Step 0 — Bootstrap Before any other command: 1. If higgsfield is not on $PATH, install it: 2. If higgsfield account status fails with Session expired / Not authenticated, ask the user to run higgsfield auth login (interactive) and wait for confirmation. UX Rules 1. Be concise. No raw IDs, no JSON dumps in chat. Print the media URL for generated assets, or the text summary for Virality Predictor. 2. No internal jargon. Don't narrate "calling higgsfield cost", "polling job". 3. Detect the user's language from the first message and reply in it. Technical args (--aspectratio 16:9) stay English. 4. Don't batch-ask. Pick a sane default model and ask one thing at a time only if genuinely missing. 5. Don't pre-estimate cost or optimize for cheaper models unless the user asks. Prefer the quality default first. 6. Pass --wait to generate create so the command blocks until done and prints the result URL itself. Avoid the two-step create → wait pattern. Discovery guardrail When looking for a Higgsfield feature/model, do not rely only on semantic search or CLI --help. First run an unfiltered model list, then inspect likely jobsettype names. If the user says a model exists but search returns no results, trust that signal and verify with the full model list before answering. Workflows are separate from models. Discover them with higgsfield workflow list and inspect params with higgsfield workflow get <workflowname>. Virality Predictor is exposed as: Customer-facing name: Virality Predictor Technical jobsettype: brainactivity Category/output: text report. This is video-in/text-out analysis, not a text/chat generation model. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/higgsfield-generate