# analytics

> Use this tool when you need to analyze data from various sources, such as Git repositories, to gain insights and solve problems related to software development, project management, and team performance. It takes in data from Git commits, issues, and other sources, and outputs visualizations, metrics, and reports to inform decision-making. Ideal for use in software development, data-driven project management, and team optimization contexts.

Canonical page: https://skillsregistry.net/skills/diego-otero-analytics  
JSON: https://api.skillsregistry.net/v1/skills/diego-otero-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/diego.otero/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": "diego-otero-analytics"
    }
  }
}
```

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