# learning-ai

> learning-ai — arunkumar201-learning-ai. Use this tool when you need to leverage artificial intelligence for learning and development, solving problems such as automating tasks, gaining insights from data, and improving decision-making. It takes in inputs like data and code, and outputs learned models and predictions, utilizing interfaces like git for version control. Ideal for use cases where machine learning and data analysis are required, such as data science, research, and automation.

Canonical page: https://skillsregistry.net/skills/arunkumar201-learning-ai  
JSON: https://api.skillsregistry.net/v1/skills/arunkumar201-learning-ai

## Description

Learning AI

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/arunkumar201/learning-ai)

## 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": "arunkumar201-learning-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arunkumar201-learning-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arunkumar201-learning-ai/pull`

---
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