# CodeTour

> CodeTour — benstaniford-codetour. Use this tool when you need to create interactive, step-by-step explanations of code changes, such as walking through GitHub pull requests. CodeTour solves the problem of making code reviews more engaging and accessible by generating animated, narrated tours with synchronized code highlights. It takes in GitHub pull requests as input and outputs an interactive, locally-viewable tour with audio narration.

Canonical page: https://skillsregistry.net/skills/benstaniford-codetour  
JSON: https://api.skillsregistry.net/v1/skills/benstaniford-codetour

## Description

Enables LLMs to create animated, narrated tours of GitHub pull requests, with a local browser viewer showing diffs and code highlights while speaking the narration aloud.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/djtlt9fqg1)
- **Repository:** <https://github.com/benstaniford/CodeTour>

## 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": "benstaniford-codetour"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benstaniford-codetour` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benstaniford-codetour/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