Weather
openclaw/openclaw
Current weather and forecasts with webfetch, falling back to wttr.in curl for locations, rain, temperature, travel planning.
Get current weather conditions and forecasts for any location
$ npx skills add vellum-ai/vellum-assistant --skill weather -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vellum-ai/vellum-assistant weather --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/weather .claude/skills/weather && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "weather" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/weather into .claude/skills/weather/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vellum-ai/vellum-assistant/tree/main/skills/weatherType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vellum-ai/vellum-assistant --skill weather -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vellum-ai/vellum-assistant weather --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/weather .agents/skills/weather && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "weather" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/weather into .agents/skills/weather/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vellum-ai/vellum-assistant --skill weather -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vellum-ai/vellum-assistant weather --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/weather .cursor/skills/weather && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "weather" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/weather into .cursor/skills/weather/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vellum-ai/vellum-assistant.git --path skills/weather--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vellum-ai/vellum-assistant --skill weather -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vellum-ai/vellum-assistant weather --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/weather .gemini/skills/weather && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "weather" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/weather into .gemini/skills/weather/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vellum-ai/vellum-assistant weatherInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vellum-ai/vellum-assistant --skill weather -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/weather .github/skills/weather && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "weather" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/weather into .github/skills/weather/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vellum-ai/vellum-assistant --skill weather -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vellum-ai/vellum-assistant weather --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/weather .opencode/skills/weather && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "weather" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/weather into .opencode/skills/weather/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
weatherGet current weather conditions and forecasts for any location
Weather is an agent skill from vellum-ai/vellum-assistant. Get current weather conditions and forecasts for any location
Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and assets (for example `scripts/__tests__/get-weather.test.ts`, `scripts/service.ts` and `scripts/weather-cli.ts`).
The repository describes itself as: An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time. The licence is MIT.
Read from SKILL.md and the folder at commit 33cc983. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (TypeScript), which the agent can run.
Shell commands in SKILL.md call:
bunFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Weather loads about 715 tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 229 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from vellum-ai/vellum-assistant at commit 33cc983, republished under its MIT licence (© vellum-ai). 229 words, ~715 tokens.
.claude/skills/weather/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.You are a weather assistant. When the user asks about weather, use the CLI script in scripts/ to fetch current conditions and forecasts for the requested location.
Run the weather command via:
bun run scripts/weather-cli.ts "<location>" [--units celsius|fahrenheit] [--days <n>]bun run scripts/weather-cli.ts "San Francisco"bun run scripts/weather-cli.ts "Tokyo" --units celsius --days 7bun run scripts/weather-cli.ts "London" --units celsiusThe command returns JSON with:
{
"ok": true,
"text": "Human-readable weather summary",
"data": {
"location": { "name": "...", "latitude": ..., "longitude": ... },
"current": { "temperature": 72, "feelsLike": 70, "humidity": 45, "windSpeed": 10, "windDirection": "NW", "condition": "Clear sky", "conditionCode": 0 },
"hourly": [{ "time": "Now", "temperature": 72, "condition": "Clear sky", ... }],
"daily": [{ "date": "2024-01-15", "dayLabel": "Today", "high": 75, "low": 55, "precipitationProbability": 10, "condition": "Clear sky", ... }],
"units": { "temperature": "F", "speed": "mph" }
}
}If a UI surface tool is available, present weather data visually using the weather_forecast card template for a native weather widget:
surface_type="card" data={
title: "Weather",
template: "weather_forecast",
templateData: {
location, currentTemp, feelsLike, unit: "F"|"C",
condition, humidity, windSpeed, windDirection,
hourly: [{ time, icon (SF Symbol name), temp }],
forecast: [{ day, icon (SF Symbol name), low, high, precip, condition }]
}
}Map weather condition codes to SF Symbol names (e.g. "sun.max.fill", "cloud.rain.fill", "cloud.fill", "snowflake").
Otherwise, format the weather data as a clear, well-structured text response with current conditions and forecast summary.
--units celsius.--days <n>.© vellum-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (scripts, assets) in skills/weather of vellum-ai/vellum-assistant.
Open the folder on GitHubat commit 33cc983
Weather next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Weather this skillvellum-ai/vellum-assistant | 1.4k | — | ~715 | Automated safety check: Pass | MIT | |
| Weatheropenclaw/openclaw | 392k | — | ~726 | Automated safety check: Pass | MIT | |
| Weather Lookupsipeed/picoclaw | 30k | — | ~657 | Automated safety check: Pass | MIT | |
| Timesfm ForecastingK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.4k | Automated safety check: Notes | Apache-2.0 | |
| Weatheriflytek/skillhub | 5.2k | — | ~734 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
openclaw/openclaw
Current weather and forecasts with webfetch, falling back to wttr.in curl for locations, rain, temperature, travel planning.
sipeed/picoclaw
Looks up current weather and forecasts with curl and verified location matching, using wttr.in for city names and Open-Meteo for structured data.
K-Dense-AI/scientific-agent-skills
Performs zero-shot time-series forecasting with Google's TimesFM, including regular-grid CSV preparation, quantile forecasts, XReg covariates, and held-out evaluation.
iflytek/skillhub
Retrieve and summarize current weather and forecasts for locations, rain, temperature, and travel planning using an available web tool or wttr.in over HTTPS.
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
platonai/Browser4
Fetches current weather conditions and a 7-day forecast for a requested location using Open-Meteo geocoding and forecast APIs.
vellum-ai/vellum-assistant
Create and configure a GitHub App so the assistant can push commits, open PRs, and comment under its own bot identity.
vellum-ai/vellum-assistant
Connect a Discord bot to the assistant via the Discord Gateway with guided application creation and intent configuration
vellum-ai/vellum-assistant
Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity
vellum-ai/vellum-assistant
Ingest a large dataset into memory as a skimmed map. An agent skill from vellum-ai/vellum-assistant.
vellum-ai/vellum-assistant
A skill your agent uses when the user wants to build, scaffold, ship, or edit a Vellum plugin that bundles multiple surfaces (hooks, tools, skills, and more) into one installable package.
vellum-ai/vellum-assistant
Connect a Slack app to the Vellum Assistant via Socket Mode.
Get current weather conditions and forecasts for any location. Weather is an agent skill from vellum-ai/vellum-assistant.
Run `npx skills add vellum-ai/vellum-assistant --skill weather -a claude-code`. Or copy the skill folder (skills/weather in vellum-ai/vellum-assistant) into .claude/skills/weather in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vellum-ai/vellum-assistant --skill weather -a codex`. Or copy the skill folder (skills/weather in vellum-ai/vellum-assistant) into .agents/skills/weather in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vellum-ai/vellum-assistant --skill weather -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weather, .gemini/skills/weather, .github/skills/weather and .opencode/skills/weather in your project.
Going by SKILL.md and its folder, Weather needs TypeScript for the scripts in its folder and the command-line tools its instructions call (bun). Our summary lists: Node.js.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Weather is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 715 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Weather: Weather (openclaw/openclaw, 392k stars), Weather Lookup (sipeed/picoclaw, 30k stars), Timesfm Forecasting (K-Dense-AI/scientific-agent-skills, 48k stars) and Weather (iflytek/skillhub, 5.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vellum-ai (a GitHub organization) maintains it in vellum-ai/vellum-assistant, which has 1,408 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on October 9, 2026.
Source: vellum-ai/vellum-assistant on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.