# io.github.winedarksea/AutoTS

> Use this tool when you need to automate time series forecasting and analysis, solving problems such as predicting future trends, detecting anomalies, and assessing event risk. It takes in time series data as input and outputs forecasted values, anomaly alerts, and risk assessments, providing a comprehensive interface for data-driven decision making. Ideal for use cases where accurate and efficient time series analysis is crucial, such as finance, operations, and resource planning.

Canonical page: https://skillsregistry.net/skills/io-github-winedarksea-autots  
JSON: https://api.skillsregistry.net/v1/skills/io-github-winedarksea-autots

## Description

Automated time series forecasting with model search, anomaly detection, and event risk analysis

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.winedarksea%2FAutoTS)
- **Repository:** <https://github.com/winedarksea/AutoTS>

## 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": "io-github-winedarksea-autots"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-winedarksea-autots` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-winedarksea-autots/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