# product-analytics-agent

> product-analytics-agent — michaela2024-product-analytics-agent. Use this tool when you need to gain insights into product performance through conversational analytics, solving problems such as data-driven decision making and anomaly detection. It takes in natural language queries as input and outputs metrics, comparisons, and visualizations, including charts. Use it in contexts where you want to quickly understand product metrics, compare user segments, or identify unusual trends without manual data analysis.

Canonical page: https://skillsregistry.net/skills/michaela2024-product-analytics-agent  
JSON: https://api.skillsregistry.net/v1/skills/michaela2024-product-analytics-agent

## Description

AI agent that answers product analytics questions conversationally — queries metrics, compares segments, detects anomalies, and generates charts using Claude and MCP

## Trust

- **Trust score (0–1):** 0.91
- **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/Michaela2024/product-analytics-agent)

## 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": "michaela2024-product-analytics-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/michaela2024-product-analytics-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/michaela2024-product-analytics-agent/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