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weather-skill天气技能

Agent Skill

weather-skill 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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3,041

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:weather-skill(天气技能)
来源仓库:https://github.com/mateeb11/weather-forecast
仓库路径:skills/weather-skill
安装命令:
npx skills add https://github.com/mateeb11/weather-forecast --skill weather-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mateeb11/weather-forecast --skill weather-skill

简介

weather-skill 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中整理仓库状态与协作事项。

  • 适用于围绕代码变更、协作流程或项目进展进行信息梳理的场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装并使用该技能。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 建议结合原始 README 和仓库内容进一步核验具体用法。

SKILL.md

Weather Skill

Provides current weather and forecasts for any location using two free APIs:

  • Nominatim (OpenStreetMap) for geocoding locations → scripts/geocode.py
  • Open-Meteo for weather data → scripts/fetch_weather.py

Workflow

  1. Understand the user's request. Extract the location, time range, and whether they're planning travel. See examples below.
  2. Geocode the location by running scripts/geocode.py "<location>". It returns JSON with display_name, lat, lon, and an ambiguous flag. If ambiguous, ask the user to clarify.
  3. Fetch weather by running scripts/fetch_weather.py with the lat/lon and appropriate flags. See script usage below.
  4. Respond to the user with a clear summary. See example outputs below.
  5. If travel intent is detected, also read references/clothing_guide.md and include relevant clothing advice.

Scripts

Geocode: scripts/geocode.py

Converts a location string to coordinates.

python scripts/geocode.py "Tokyo"
python scripts/geocode.py "King Abdullah Financial District, Riyadh"
python scripts/geocode.py "Times Square, New York"

Returns JSON:

{
  "display_name": "Tokyo, Japan",
  "lat": 35.6764,
  "lon": 139.6500,
  "importance": 0.82,
  "ambiguous": false
}

If ambiguous is true, an alternatives list is included — ask the user which they meant.

Weather: scripts/fetch_weather.py

Fetches weather data for given coordinates.

# Current conditions only
python scripts/fetch_weather.py --lat 35.6764 --lon 139.65 --resolution current

# Hourly forecast (good for today, tomorrow, next 12 hours, specific day)
python scripts/fetch_weather.py --lat 35.6764 --lon 139.65 --resolution hourly

# Daily forecast (good for multi-day ranges, next week, etc.)
python scripts/fetch_weather.py --lat 35.6764 --lon 139.65 --resolution daily

# Custom timezone (default is "auto" which uses the location's timezone)
python scripts/fetch_weather.py --lat 35.6764 --lon 139.65 --resolution hourly --timezone Asia/Tokyo

# Include historical data when user asks about past weather
python scripts/fetch_weather.py --lat 35.6764 --lon 139.65 --resolution daily --past-days 7

Returns JSON with meta, current, hourly, and/or daily sections depending on resolution.

Example JSON response (--resolution current):

{
  "meta": {
    "lat": 35.6764,
    "lon": 139.65,
    "timezone": "Asia/Tokyo",
    "resolution": "current",
    "forecast_days": 16,
    "past_days": 0
  },
  "current": {
    "time": "2026-02-25T14:00",
    "temperature_c": 12.3,
    "apparent_temperature_c": 10.8,
    "weather_code": 1,
    "weather_description": "Mainly clear",
    "wind_speed_kmh": 14.2,
    "humidity_pct": 48,
    "precipitation_mm": 0.0
  },
  "hourly": null,
  "daily": null
}

The script always requests forecast_days=16 (max forecast horizon). Use --past-days only for past weather requests (0..92).


How to Interpret User Requests

The agent should interpret the user's natural language to determine three things:

1. Location

Extract the place name from the query. Examples:

  • "Weather in Jeddah now" → "Jeddah"
  • "Forecast for London this weekend" → "London"
  • "I'm going to Tokyo next week" → "Tokyo"
  • "How windy will it be in AlUla on Friday?" → "AlUla"

If no location is mentioned, ask the user.

2. Time Range, Resolution, and Past Weather

User saysResolutionpast_daysNotes
"now" / "current" / no time specifiedcurrent (also include hourly for next 24h)0Forecast request always uses 16 days.
"today" / "tonight" / "tomorrow" / "tomorrow morning"hourly0Use hourly data to answer specific time windows.
"this weekend" / "on Friday" / "hourly for next 12 hours"hourly0Filter the returned series in the response.
"next 3 days"hourly0Summarize from hourly data.
"next 7 days" / "next week" / "first week of March"daily0Summarize relevant days from daily data.
"March" / "in April" / "05/01 to 06/30"daily0If outside forecast horizon, clearly state limits.
"past weather" / "last 3 days" / "yesterday"daily (or hourly for short windows)set from requestIf user says "past" without a number, default to 7.

The user may specify dates in various formats (MM/DD, DD/MM, "May 1st", "1 March", etc.) — interpret based on context and filter the returned timeline accordingly. Use the current year unless another year is stated or implied.

Use daily for ranges > 3 days, hourly for shorter windows, current for right-now queries (but still include hourly for context).

Default (no time specified): current conditions + next 24 hours hourly.

Remember: Forecast is fixed to 16 days. For past requests, use past_days (0..92).

3. Travel Intent

Detect if the user is planning to go somewhere. Look for keywords like: pack, wear, travel, visiting, going to, headed to, trip, vacation, holiday, outing, flight, should I bring

If travel intent is detected → also include clothing guidance (see below).


Example Outputs

Example 1: Simple current weather

User: "What's the weather in Jeddah now?"

Response:

Weather in Jeddah, Saudi Arabia Right now it's Clear sky with a temperature of 28°C (feels like 30°C). Wind is light at 12 km/h from the north, and humidity is at 45%. No precipitation expected. Next few hours: - 3 PM: 29°C, Clear sky, 0% rain - 4 PM: 28°C, Partly cloudy, 0% rain - 5 PM: 26°C, Clear sky, 0% rain *(and so on...)*

Example 2: Weekend forecast

User: "Forecast for London this weekend"

Response:

Weekend Forecast for London, UK Saturday, Mar 1: Highs of 11°C, lows of 5°C. Moderate rain expected (70% probability, ~4mm). Wind up to 25 km/h. Sunday, Mar 2: Highs of 13°C, lows of 6°C. Partly cloudy, 20% rain chance. Lighter wind at 15 km/h. Overall: A wet Saturday clearing into a drier Sunday. Bring an umbrella for Saturday.

Example 3: Travel planning with clothing advice

User: "I'm going to Tokyo next week — what should I pack?"

Response:

Tokyo, Japan — Next Week Forecast (Mar 3–9) | Day | High | Low | Conditions | Rain | Wind | | --- | --- | --- | --- | --- | --- | | Mon | 12°C | 4°C | Partly cloudy | 10% | 15 km/h | | Tue | 10°C | 3°C | Slight rain | 65% | 20 km/h | | ... | ... | ... | ... | ... | ... | What to Wear: Expect cold conditions (lows near 3°C) with rain mid-week. Pack: - Warm layers: fleece or wool sweater + insulated jacket - Waterproof jacket and umbrella for Tuesday/Wednesday - Closed-toe waterproof shoes - Scarf and light gloves for mornings/evenings *See: clothing_guide.md — sections: cold, rainy*

Example 4: Specific condition query

User: "How windy will it be in AlUla on Friday?"

Response:

Wind Forecast for AlUla, Saudi Arabia — Friday, Feb 28 Wind speeds will peak at 35 km/h in the early afternoon, settling to around 15 km/h by evening. Morning winds are lighter at ~10 km/h. ⚠️ Moderately windy conditions expected midday — secure loose items and consider a windbreaker if you'll be outdoors.

Warnings

Include warnings when conditions are notable:

  • Extreme heat: temp ≥ 40°C
  • Extreme cold: temp ≤ -10°C
  • Strong wind: ≥ 50 km/h
  • Heavy rain: ≥ 20mm precipitation

Clothing Guidance

When travel intent is detected, read references/clothing_guide.md and include relevant advice in the response.


Error Handling

  • Location not found: Ask the user to be more specific (add city, country).
  • Ambiguous location: Present the alternatives and ask which one.
  • API failure / network blocked: Scripts return a JSON error envelope instead of a traceback: {"error": {"code": "NETWORK_UNAVAILABLE", "message": "Unable to reach remote weather service.", "details": "URLError:...", "retryable": true, "hint": "Enable outbound network access or rerun with elevated permissions."}}
  • Error codes:

- INVALID_INPUT: bad user input (invalid past_days, missing location, no results). - NETWORK_UNAVAILABLE: DNS/connectivity/timeouts to upstream weather APIs. - UPSTREAM_API_ERROR: upstream HTTP/API response issues.

  • Exit codes:

- 0: success. - 1: usage or input validation failures. - 2: network/upstream API failures.

  • Operational guidance: If network is blocked in a sandbox, request elevated permissions or run scripts from an environment with outbound internet access.
  • Beyond forecast horizon: Inform them of the 16-day limit, return what's available.
  • No time specified: Default to current + next 24 hours.

适合场景

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02

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03

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.03%
按下载量换算315

Claude

30.8%
按下载量换算294

Cursor

20.42%
按下载量换算195

Gemini CLI

10.18%
按下载量换算97

安全审计

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该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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