# Spine Animation

> Use this tool when you need to automate 2D skeletal animation workflows, such as exporting and importing animations, or analyzing skeleton structures. It solves problems related to efficient animation data management and preset application, taking in inputs like animation files and skeleton structures, and outputting JSON animation data. Ideal for use cases requiring automated animation processing, particularly with existing Spine installations on Windows platforms.

Canonical page: https://skillsregistry.net/skills/1425sd-spine-animation  
JSON: https://api.skillsregistry.net/v1/skills/1425sd-spine-animation

## Description

Spine Animation wraps the official Spine CLI to enable AI-driven automation of 2D skeletal animation workflows. Tools cover exporting and importing animations, generating JSON animation data, analyzing skeleton structures, and applying presets. Requires a local Spine installation (tested against v3.8.75) and runs via stdio. Windows-only due to Spine CLI platform constraints.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/1425sd-spine-animation)
- **Repository:** <https://github.com/1425sd/spine-mcp>

## 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": "1425sd-spine-animation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/1425sd-spine-animation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/1425sd-spine-animation/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