Timesfm Forecasting
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.
Current weather and multi-day forecasts worldwide. An agent skill from aws-samples/sample-strands-agent-with-agentcore.
OfficialMITAuto-check passed
Install Weather
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill weather -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore 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/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/chatbot-app/agentcore/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/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/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/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/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 aws-samples/sample-strands-agent-with-agentcore --skill weather -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore weather --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .agents/skills && cp -r skills-src/chatbot-app/agentcore/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/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/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 aws-samples/sample-strands-agent-with-agentcore --skill weather -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore weather --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/chatbot-app/agentcore/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/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/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/aws-samples/sample-strands-agent-with-agentcore.git --path chatbot-app/agentcore/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 aws-samples/sample-strands-agent-with-agentcore --skill weather -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore weather --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/chatbot-app/agentcore/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/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/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 aws-samples/sample-strands-agent-with-agentcore 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 aws-samples/sample-strands-agent-with-agentcore --skill weather -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .github/skills && cp -r skills-src/chatbot-app/agentcore/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/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/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 aws-samples/sample-strands-agent-with-agentcore --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 aws-samples/sample-strands-agent-with-agentcore weather --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/chatbot-app/agentcore/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/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/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.
Facts
- Skill name
weather- GitHub stars
- 194
- Token cost
- ~303 tokens
- SKILL.md length
- 130 words
- Files
- 1
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- MIT
At a glance
Current weather and multi-day forecasts worldwide. An agent skill from aws-samples/sample-strands-agent-with-agentcore.
- SKILL.md covers Available Tools and Usage Guidelines
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Weather is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization. Current weather and multi-day forecasts worldwide
Its SKILL.md is about 300 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Reference architecture for agentic AI chatbots with Strands Agents and Amazon Bedrock AgentCore. The licence is MIT.
Example prompts
- “/weather”
What it can do on your machine
Read from SKILL.md and the folder at commit 6dd9d13. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Weather loads about 303 tokens when it runs. Until then it costs about 14 tokens; SKILL.md has 130 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.
Safety
Auto-check passed
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from aws-samples/sample-strands-agent-with-agentcore at commit 6dd9d13, republished under its MIT licence (© aws-samples). 130 words, ~303 tokens.
Download SKILL.mdSave it as
.claude/skills/weather/SKILL.md (or your agent's skills folder).- name
- weather
- description
- Current weather and multi-day forecasts worldwide
Weather
Available Tools
get_today_weather(city_name, country?): Get current weather conditions and today's hourly forecast.
city_name(string, required): City name (e.g., "Seoul", "New York", "London")country(string, optional): Country name for disambiguation (e.g., "South Korea")
get_weather_forecast(city_name, days?, country?): Get multi-day weather forecast (1-16 days).
city_name(string, required): City namedays(integer, optional, default: 7): Number of forecast days (1-16)country(string, optional): Country name for disambiguation
Usage Guidelines
- Use city names directly — the API handles geocoding internally.
- Add
countrywhen the city name is ambiguous (e.g., "Portland" exists in both Oregon and Maine). - Use
get_today_weatherfor current conditions and today's hourly breakdown. - Use
get_weather_forecastfor multi-day planning (travel, events, outdoor activities). - Present temperatures in both Celsius and Fahrenheit when the user's preference is unclear.
- Include relevant details: precipitation probability, wind speed, humidity.
© aws-samples, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in chatbot-app/agentcore/skills/weather of aws-samples/sample-strands-agent-with-agentcore.
Open the folder on GitHubat commit 6dd9d13
Compare with similar skills
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 skillaws-samples/sample-strands-agent-with-agentcore | 194 | — | ~303 | Automated safety check: Pass | MIT | |
| Timesfm ForecastingK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.4k | Automated safety check: Notes | Apache-2.0 | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Weather Lookupsipeed/picoclaw | 30k | — | ~657 | Automated safety check: Pass | MIT | |
| Weatheriflytek/skillhub | 5.2k | — | ~734 | Automated safety check: Pass | MIT | |
| Forecast Accuracy Reviewdavila7/claude-code-templates | 32k | — | ~884 | Automated safety check: Pass | MIT |
Similar skills
TimesFM Forecasting
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
Weather Lookup
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.
Weather
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.
Forecast Accuracy Review
davila7/claude-code-templates
Evaluate demand-forecast quality honestly - WMAPE, bias and Forecast Value Added against a naive benchmark over a rolling-origin backtest.
Weather
platonai/Browser4
Fetches current weather conditions and a 7-day forecast for a requested location using Open-Meteo geocoding and forecast APIs.
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Delegate one independent, context-heavy task to an isolated asynchronous analyst or reviewer.
Questions about Weather
What does Weather do?
Current weather and multi-day forecasts worldwide. An agent skill from aws-samples/sample-strands-agent-with-agentcore. Weather is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization.
How do I install Weather in Claude Code?
Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill weather -a claude-code`. Or copy the skill folder (chatbot-app/agentcore/skills/weather in aws-samples/sample-strands-agent-with-agentcore) into .claude/skills/weather in your project. Claude Code loads it when a task matches its description.
How do I install Weather in Codex?
Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill weather -a codex`. Or copy the skill folder (chatbot-app/agentcore/skills/weather in aws-samples/sample-strands-agent-with-agentcore) into .agents/skills/weather in your project. Codex loads it when a task matches its description.
Can I use Weather in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aws-samples/sample-strands-agent-with-agentcore --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.
What does Weather need to run?
SKILL.md names no scripts, command-line tools or credentials: Weather is instructions for the agent only.
Does Weather access the network?
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.
Is Weather safe to install?
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. Review the folder before installing.
What licence does Weather use?
Weather is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Weather use?
About 303 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Weather?
Skills that share tags, products or a category with Weather: Timesfm Forecasting (K-Dense-AI/scientific-agent-skills, 48k stars), TimesFM Forecasting (google-research/timesfm, 34k stars), Weather Lookup (sipeed/picoclaw, 30k 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.
Who maintains Weather?
aws-samples (a GitHub organization, an official publisher) maintains it in aws-samples/sample-strands-agent-with-agentcore, which has 194 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 6, 2026.
Source: aws-samples/sample-strands-agent-with-agentcore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.