# 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 `.md` to 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](https://skills.varg.ai/workflows.md) · [Explainers](https://skills.varg.ai/browse/skills/explainers.md)
- **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](https://skills.varg.ai/use-cases/faceless-video.md): A narrated short or long video with no presenter: script, voiceover, visuals, captions, music.
- [Explainer video](https://skills.varg.ai/use-cases/explainer-video.md): A narrated explainer about a product, a topic or a document, with motion graphics or AI visuals.

## More explainers skills

- [HyperFrames](https://skills.varg.ai/skills/hyperframes.md): Turn HTML, CSS and seekable animation into deterministic MP4s: launch films, explainers, captions, title cards.
- [HyperFrames Slideshow](https://skills.varg.ai/skills/hyperframes-slideshow.md): Build a live, navigable deck with fragment reveals, branching hotspots and presenter notes instead of an MP4.
- [Plain-Sight Explainer](https://skills.varg.ai/skills/hyperframes-vox-explainer.md): 60–90 s collage explainers about everyday things, or mined from your documents and links, with numeric seam checks.
- [Remotion Create](https://skills.varg.ai/skills/remotion-create.md): Scaffold a new Remotion project and lay the video out as clips or scenes before writing any frames.
- [Remotion Maps](https://skills.varg.ai/skills/remotion-maps.md): Animate maps in Remotion: static maps, Mapbox, MapLibre, MapTiler and CesiumJS 3D flyovers.
- [Explainer Video Guide](https://skills.varg.ai/skills/inference-sh-explainer-video-guide.md): 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