# Time Machine

> Time Machine — ai-timeml-time-machine. Use this tool when you need to manage corporate learning and development programs efficiently. The Time Machine platform solves problems related to course administration, user tracking, and insight analysis, providing a streamlined interface for inputs such as course content and user data, and outputs like personalized learning recommendations and performance metrics. It is ideal for use in corporate training contexts where data-driven learning strategies are crucial.

Canonical page: https://skillsregistry.net/skills/ai-timeml-time-machine  
JSON: https://api.skillsregistry.net/v1/skills/ai-timeml-time-machine

## Description

AI-powered corporate learning platform — manage courses, users, and insights via Claude.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.timeml%2Ftime-machine)

## Use it

MCP endpoint published by the skill: `https://api.timeml.ai/api/v1/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": "ai-timeml-time-machine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-timeml-time-machine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-timeml-time-machine/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