# liblib-ai-gen

> Use this tool when you need to generate visual content, such as images and videos, using advanced AI models like Seedream4.5 and Kling. It solves problems related to creative content creation, providing an interface to input parameters and output generated media. Ideal for applications requiring automated media generation, such as advertising, entertainment, or social media content creation.

Canonical page: https://skillsregistry.net/skills/xtaq-liblib-ai-gen  
JSON: https://api.skillsregistry.net/v1/skills/xtaq-liblib-ai-gen

## Description

Generate images with Seedream4.5 and videos with Kling via LiblibAI API.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-08-23

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/xtaq-liblib-ai-gen)

## 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": "xtaq-liblib-ai-gen"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xtaq-liblib-ai-gen` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xtaq-liblib-ai-gen/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