# chronos-agent

> chronos-agent — pradhankukiran-chronos-agent. Use this tool when you need to forecast time-series data across multiple sectors, solving problems such as demand planning and resource allocation. It takes in historical data as input and outputs predicted future trends, leveraging ensembled Prophet and XGBoost hybrid modeling for accurate results. Ideal for use cases where complex forecasting is required, such as finance, logistics, or energy management.

Canonical page: https://skillsregistry.net/skills/pradhankukiran-chronos-agent  
JSON: https://api.skillsregistry.net/v1/skills/pradhankukiran-chronos-agent

## Description

A multi-sector time-series forecasting portal and FastMCP tool server using ensembled Prophet and XGBoost hybrid modeling.

## Trust

- **Trust score (0–1):** 0.90
- **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/pradhankukiran/chronos-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": "pradhankukiran-chronos-agent"
    }
  }
}
```

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