# dataflowr

> Use this tool when you need to access and interact with educational resources for Deep Learning DIY courses. It provides AI agents with a browsable interface to modules, notebooks, transcripts, quizzes, slides, and homework, enabling efficient learning and teaching. Ideal for use cases requiring structured access to educational content, dataflowr streamlines the learning process via MCP tools.

Canonical page: https://skillsregistry.net/skills/dataflowr-dataflowr-tools  
JSON: https://api.skillsregistry.net/v1/skills/dataflowr-dataflowr-tools

## Description

Enables AI agents to browse and teach the Deep Learning DIY course, providing access to modules, notebooks, transcripts, quizzes, slides, and homework via MCP tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vv7flcnpih)
- **Repository:** <https://github.com/dataflowr/dataflowr-tools>

## 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": "dataflowr-dataflowr-tools"
    }
  }
}
```

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