Higgsfield Video Explainer — workflow skill for explainers
For AI agents: find the right skill in one call —
curl -s "https://skills.varg.ai/api/search?q=<what the person wants>"returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add.mdto its path. Before generating anything, show the person the options on the use-case page.
Turn a topic or document into a narrated, stylized explainer assembled from 10-second voiced blocks.
- Type: Workflow · Explainers
- Slug:
higgsfield-video-explainer - Status: live
- Publisher: Higgsfield (vendor, verified)
- License: MIT
- Source: https://github.com/higgsfield-ai/skills/tree/main/higgsfield-video-explainer
- Works in: Claude Code, Codex, Cursor, Gemini CLI
- Requires: Higgsfield account, Higgsfield CLI (
higgsfield auth login), FFmpeg - Cost: Billed in Higgsfield credits
- Adoption: 124,600 installs, 1,682 GitHub stars (skills.sh, 2026-10-26)
What it does
Builds a complete non-photoreal explainer or story video: research, one style key, narration split into 10-second blocks, one Seed Audio voice take and one Gemini Omni Flash clip per block, then server-side assembly into a finished MP4. It supports Higgsfield's live style presets or custom references, mascot and faceless modes, two aspect ratios and optional burned-in subtitles.
Use when
- Explain this topic or document in a video
- A faceless narrated video or animated story
- Browsing explainer styles
Not for
- Photoreal films, ads, talking heads or podcasts
- Editing a finished video
Install
- Claude Code:
/plugin marketplace add higgsfield-ai/skills && /plugin install higgsfield@higgsfield - Codex:
npx skills add higgsfield-ai/skills --skill higgsfield-video-explainer -a codex - Cursor:
npx skills add higgsfield-ai/skills --skill higgsfield-video-explainer -a cursor - Gemini CLI:
npx skills add higgsfield-ai/skills --skill higgsfield-video-explainer -a gemini-cli
Models it drives: omni_flash_1_1, seed_audio, nano_banana_pro, nano_banana_2
Example output
https://skills.varg.ai/previews/higgsfield-video-explainer.mp4 — Higgsfield Faceless Video showcase: 2D animated captioned explainer on how early humans discovered fire; first 8 s (credit: Higgsfield, https://higgsfield.ai/skills)
Used for
- Faceless YouTube / TikTok video: A narrated short or long video with no presenter: script, voiceover, visuals, captions, music.
- Explainer video: A narrated explainer about a product, a topic or a document, with motion graphics or AI visuals.
More explainers skills
- HyperFrames: Turn HTML, CSS and seekable animation into deterministic MP4s: launch films, explainers, captions, title cards.
- HyperFrames Slideshow: Build a live, navigable deck with fragment reveals, branching hotspots and presenter notes instead of an MP4.
- Plain-Sight Explainer: 60–90 s collage explainers about everyday things, or mined from your documents and links, with numeric seam checks.
- Remotion Create: Scaffold a new Remotion project and lay the video out as clips or scenes before writing any frames.
- Remotion Maps: Animate maps in Remotion: static maps, Mapbox, MapLibre, MapTiler and CesiumJS 3D flyovers.
- Explainer Video Guide: Plan explainer videos end to end: script formulas, pacing, scene planning, voiceover and assembly.
Run the generation on varg
varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.
- Claude Code:
claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg(skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw:
npx skills add vargHQ/skills --skill varg-ai -a <agent> -y - Claude.ai, ChatGPT, any MCP client: connect
https://mcp.varg.ai/mcp - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt