# tempcast

> tempcast — thanakara-tempcast. Use this tool when you need to generate concise descriptions of tools and skills for AI agents, solving problems of information overload and context ambiguity. It takes in tool names, descriptions, and tags as inputs and outputs optimized descriptions, streamlining the process of creating informative summaries. Ideal for use cases where clear and concise communication is key, such as in AI training data or knowledge graphs.

Canonical page: https://skillsregistry.net/skills/thanakara-tempcast  
JSON: https://api.skillsregistry.net/v1/skills/thanakara-tempcast

## Description

Deep learning experiment station for weather time-series forecasting, powered by Visual Crossing API data.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** maps-location
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/thanakara/tempcast)

## 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": "thanakara-tempcast"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thanakara-tempcast` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thanakara-tempcast/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