# genpark-time-series-exponential-smoothing-forecaster-skill

> genpark-time-series-exponential-smoothing-forecaster-skill — alpha-park-genpark-time-series-exponential-smoothing-forecaster-skill. Use this tool when you need to forecast numerical trends with high accuracy and reliability. It solves problems related to predicting future values in time series data, providing multi-step horizon and variance confidence bands. The tool takes in time series data as input and outputs forecasted values with confidence intervals, making it ideal for applications where precise trend prediction is crucial.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-time-series-exponential-smoothing-forecaster-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-time-series-exponential-smoothing-forecaster-skill

## Description

Zero-dependency Holt linear exponential smoothing engine forecasting numerical trends with multi-step horizon and variance confidence bands.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## 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/Alpha-Park/genpark-time-series-exponential-smoothing-forecaster-skill)

## 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": "alpha-park-genpark-time-series-exponential-smoothing-forecaster-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-time-series-exponential-smoothing-forecaster-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-time-series-exponential-smoothing-forecaster-skill/pull`

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