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openmeteo-sh-weather-simpleopenmeteo sh 天气简单

Agent Skill

openmeteo-sh-weather-simple 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

36,402

周安装

1,487

GitHub Stars

4

下载量

11,658
OpenClaw

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

MIT-0

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:openmeteo-sh-weather-simple(openmeteo sh 天气简单)
来源仓库:https://github.com/lstpsche/openmeteo-sh-weather-simple
安装命令:
openclaw skills install openmeteo-sh-weather-simple
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install openmeteo-sh-weather-simple

简介

openmeteo-sh-weather-simple 用于获取任何城市或坐标的当前天气和预报,使用免费 OpenMeteo API。

  • 它支持温度、雨、雪和风等基本气象信息查询,适合日常天气询问。
  • 通过 clawhub 安装,命令为 openclaw skills install openmeteo-sh-weather-simple,需结合来源仓库和 README 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操作。
  • 适用于需要快速天气信息或简单查询的场景。

SKILL.md

name
openmeteo-sh-weather-simple
description
Get current weather and forecasts for any city or coordinates using free OpenMeteo API. Use when the user asks about weather, temperature, rain, snow, wind, or wants to know if they need an umbrella.
metadata
{"openclaw":{"emoji":"🌤","requires":{"bins":["openmeteo"]}}}
homepage
https://github.com/lstpsche/openmeteo-sh
user-invocable
true

OpenMeteo Weather (openmeteo-sh)

Current weather and forecasts (up to 16 days) via openmeteo CLI. No API key required.

Quick reference

openmeteo weather --current --city=Berlin --llm
openmeteo weather --current --forecast-days=2 --city=London --llm
openmeteo weather --forecast-days=7 --forecast-since=5 --city=Rome --llm
openmeteo weather --current --lat=48.85 --lon=2.35 --llm

Location (pick one)

  • --city=NAME — city name (auto-geocoded)
  • --city=NAME --country=CODE — disambiguate (e.g. Portland --country=US)
  • --lat=NUM --lon=NUM — direct coordinates

Options

  • --current — current conditions
  • --forecast-days=N — forecast length, 1–16 (default 7)
  • --forecast-since=N — start from day N (1=today, 2=tomorrow). Must be <= forecast-days.
  • --hourly-params=LIST — override hourly variables (comma-separated)
  • --daily-params=LIST — override daily variables (comma-separated)
  • --current-params=LIST — override current variables (comma-separated)
  • --temperature-unit=UNIT — celsius (default) / fahrenheit
  • --llm — always pass this

Variables

Defaults are sensible for general weather. Override only when needed.

Current & hourly:

  • temperature_2m — air temp, C
  • apparent_temperature — feels-like, C
  • precipitation — rain+showers+snow, mm
  • precipitation_probability (hourly only) — chance of precipitation, %
  • weather_code — condition, auto-resolved to text
  • wind_speed_10m — wind, km/h
  • wind_gusts_10m — gusts, km/h
  • cloud_cover — cloud cover, %
  • snowfall — snowfall, cm
  • uv_index (hourly only) — UV index

Daily:

  • temperature_2m_max / temperature_2m_min — max/min temp, C
  • precipitation_sum — total precipitation, mm
  • precipitation_probability_max — max precipitation chance, %
  • weather_code — dominant condition
  • wind_speed_10m_max — max wind, km/h
  • sunrise / sunset — times
  • snowfall_sum — total snowfall, cm

Rules

  1. Always pass --llm.
  2. Quote all user-provided values in shell commands: --city="New York", --city="St. Petersburg". Only known-safe tokens (numbers, single ASCII words) may be unquoted.
  3. Never use help subcommand or --raw — work only with what's described here.
  4. No location specified -> use the user's default city/country if known from session context.
  5. Summarize results naturally — never paste raw output.
  6. Use --forecast-days=1 for today, =2 for tomorrow — minimize token waste.
  7. Use --forecast-since=N to skip to a specific future day.
  8. For targeted questions, override params to fetch only what's needed.
  9. When the user switches cities ("and what about London?"), carry over all params used in prior weather queries this conversation — including any added in follow-ups. The new city gets the union of all previously requested params.

Examples

"What's the weather like?" -> openmeteo weather --current --city=Berlin --llm Summarize: "Clear, -12C (feels -17C), wind 9 km/h."

"When will the rain stop?" -> openmeteo weather --forecast-days=2 --city=Berlin --hourly-params=precipitation,precipitation_probability,weather_code --llm Find when precipitation hits ~0. Answer: "Should stop around 14:00."

"Do I need an umbrella?" -> openmeteo weather --forecast-days=1 --city=Berlin --hourly-params=precipitation,precipitation_probability,weather_code --llm "Yes — 70% chance between 11:00-15:00, up to 2mm."

"Weather this weekend in Rome?" -> openmeteo weather --forecast-days=7 --forecast-since=5 --city=Rome --daily-params=temperature_2m_max,temperature_2m_min,weather_code,precipitation_sum --llm Present only Sat/Sun: "Saturday: 14/8C, partly cloudy. Sunday: 16/9C, clear."

"Temperature outside?" -> openmeteo weather --current --city=Berlin --current-params=temperature_2m,apparent_temperature --llm "-5C, feels like -9C."

适合场景

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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。

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