# Show It Works

> Show It Works — app-showitworks-show-it-works. Use this tool when you need to verify the functionality of AI-coded solutions through visual validation. It solves the problem of demonstrating code correctness by recording and sharing verification videos, allowing for easy validation and collaboration. The tool takes in recorded runs, uploads them over MCP, and outputs a shareable viewer link for seamless feedback and review.

Canonical page: https://skillsregistry.net/skills/app-showitworks-show-it-works  
JSON: https://api.skillsregistry.net/v1/skills/app-showitworks-show-it-works

## Description

Verification videos for AI coding agents: record the run, upload over MCP, share a viewer link.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-26

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.showitworks%2Fshow-it-works)

## Use it

MCP endpoint published by the skill: `https://showitworks.app/api/mcp`

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": "app-showitworks-show-it-works"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/app-showitworks-show-it-works` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/app-showitworks-show-it-works/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