# rive-analyzer

> Use this tool when you need to inspect, validate, and control Rive animation files, solving problems with file parsing, scanning, and comparison. It provides 11 tools for tasks such as generating types and comparing files, accepting Rive animation files as input and producing validated and controlled output. Ideal for use in animation development and AI-assisted content creation workflows.

Canonical page: https://skillsregistry.net/skills/nano-step-rive-playground  
JSON: https://api.skillsregistry.net/v1/skills/nano-step-rive-playground

## Description

Enables AI assistants to inspect, validate, control, and ship Rive animation files with 11 tools for parsing, scanning, generating types, comparing files, and more.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gh032sxoqi)
- **Repository:** <https://github.com/nano-step/rive-playground>

## 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": "nano-step-rive-playground"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nano-step-rive-playground` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nano-step-rive-playground/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
