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weather-plus

Get current weather, multi-day forecasts, clothing index, and feels-like temperature. No API key required. Use when a user wants to: (1) Check current weather, (2) View multi-day forecasts, (3) Get clothing/dressing recommendations, (4) Check feels-like temperature and comfort index. Supports any city worldwide. Integrates SkillPay.me at 0.001 USDT/call.

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 weather-plus 技能。 若已安装,则直接安装 weather-plus 技能。

Overview

Skill Key
elevo11/weather-plus
Author
elevo11
Source Repo
openclaw/skills
Version
-
Source Path
skills/elevo11/weather-plus
Latest Commit SHA
fc03f0051931ff276ad1991cfdb4fc609530a6fa

Extracted Content

SKILL.md excerpt

# Weather Plus

Weather, forecasts, clothing index & feels-like temperature. No API key needed. 0.001 USDT/call.

## Commands

| Command | Script | Description |
|:---|:---|:---|
| **weather** | `scripts/weather.py` | Current weather + feels-like |
| **forecast** | `scripts/forecast.py` | Multi-day forecast (up to 7 days) |
| **clothing** | `scripts/clothing.py` | Clothing/dressing index + recommendations |
| **billing** | `scripts/billing.py` | SkillPay charge/balance/payment |

## Workflow

```
1. Billing:   python3 scripts/billing.py --charge --user-id <id>
2. Weather:   python3 scripts/weather.py --city "Beijing"
3. Forecast:  python3 scripts/forecast.py --city "Shanghai" --days 5
4. Clothing:  python3 scripts/clothing.py --city "Chengdu"
```

## Examples

```bash
# Current weather
python3 scripts/weather.py --city "New York"
python3 scripts/weather.py --city "成都"

# Multi-day forecast
python3 scripts/forecast.py --city "Tokyo" --days 7

# Clothing index
python3 scripts/clothing.py --city "Beijing"
python3 scripts/clothing.py --city "London"
```

## Config

| Env Var | Required | Description |
|:---|:---:|:---|
| `SKILLPAY_API_KEY` | Yes | SkillPay.me API key |

## References

See `references/clothing-index.md` for dressing recommendation methodology.

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