# eachlabs-video-generation

Creates new videos from text prompts, source images, or motion references via the EachLabs API. Useful when your agent needs to generate animations, speaking avatars, or scene transitions.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 491 installs · ★ 44
- Author: eachlabs
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/eachlabs/skills/tree/HEAD/skills/eachlabs-video-generation/SKILL.md
- Updated: 2026-10-07
- HTML: https://affpapa.org/en/nevibecode/skills/eachlabs-video-generation

## What it does

This skill lets your agent request video synthesis through the EachLabs Predictions API, which routes tasks across 165+ models. It handles text prompts, image animation, motion transfer, and talking head generation. Available model options include Sora 2, Kling v2.6, Wan v2.6, Pixverse v5.6, and Veo 3.1.

Every generation follows a structured sequence. The agent calls `GET /v1/model?slug=<slug>` to retrieve input parameters for the chosen model. Next, it sends a payload to `POST /v1/prediction` with version `0.0.1`. The agent polls `GET /v1/prediction/{id}` until the run finishes, then returns the video link.

Without setting `EACHLABS_API_KEY` in your environment, calls to `https://api.eachlabs.ai` will fail immediately. This skill only generates new media; editing existing clips requires `eachlabs-video-edit`.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add eachlabs/skills --skill eachlabs-video-generation -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/eachlabs-video-generation/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/eachlabs-video-generation/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add eachlabs/skills --skill eachlabs-video-generation -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/eachlabs-video-generation/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add eachlabs/skills --skill eachlabs-video-generation -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/eachlabs-video-generation/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install eachlabs/skills eachlabs-video-generation
```

2. **Manually: put the files in place**
- File: `.github/skills/eachlabs-video-generation/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add eachlabs/skills --skill eachlabs-video-generation -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/eachlabs/skills --path skills/eachlabs-video-generation
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/eachlabs-video-generation/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add eachlabs/skills --skill eachlabs-video-generation -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/eachlabs/skills/tree/HEAD/skills/eachlabs-video-generation/SKILL.md

## When to use it
- Generate video clips from text descriptions using models like Pixverse or Sora 2
- Animate static images into 1080p video with Wan v2.6 Flash
- Produce talking-head video from an image and audio track via Creatify Aurora or Infinitalk
- Build morphing transitions between two reference frames using Pixverse Transition

## Example prompts
- Generate a 5-second video of a dog running at sunset using `pixverse-v5-6-text-to-video` at 720p
- Animate `https://example.com/photo.jpg` with `wan-v2-6-image-to-video-flash` so the subject turns and smiles
- Create a transition between `start.jpg` and `end.jpg` using `pixverse-v5-6-transition`

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From the same set: [eachlabs/skills](https://affpapa.org/en/nevibecode/by/eachlabs/skills.md) — 44 cards

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