# image_effector

> image_effector — pregum-image-effector. Use this tool when you need to create a captioned 9:16 video from a hand-drawn storyboard, solving the problem of easily converting static images into engaging short videos. It takes a photographed image of a storyboard as input and outputs a captioned video, all within a browser-based interface. Use it when you want a dependency-free and efficient way to produce short videos with a Y2K or glitch aesthetic.

Canonical page: https://skillsregistry.net/skills/pregum-image-effector  
JSON: https://api.skillsregistry.net/v1/skills/pregum-image-effector

## Description

紙に描いた絵コンテを撮ると、字幕入りの9:16動画になって返ってくる。依存ゼロ・ブラウザ完結のY2K/グリッチ系 画像＆ショート動画スタジオ。WebGL2 + Cloudflare Workers。 / Photograph a storyboard you drew on paper, get a captioned 9:16 video back. Dependency-free, runs entirely in your browser.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Pregum/image_effector)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pregum-image-effector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pregum-image-effector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pregum-image-effector/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt