# analytics

> Use this tool when you need to analyze data and gain insights from various sources, solving problems such as identifying trends and patterns, and optimizing business performance. It takes in data inputs from sources like git repositories and outputs visualizations and reports, providing a user-friendly interface for exploration and discovery. Use analytics in contexts where data-driven decision-making is crucial, such as software development, marketing, and operations.

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

## 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:** container
- **Runtime environment:** vm
- **Category:** data-analytics
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/analytics/analytics)

## 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": "analytics-analytics"
    }
  }
}
```

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