weather-forecast
Get the current weather and multi-day forecast for any city or location in the world with robust wttr.in parsing and search fallbacks.
Skill by anoochit
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/anoochit-weather-forecast
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
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- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/weather-forecast
What's inside
- Skill name
weather-forecast- Description
- Get the current weather and multi-day forecast for any city or location in the world with robust wttr.in parsing and search fallbacks.
- License
- MIT
- Instructions
- 67 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Weather Skill
This skill enables Nami to retrieve and present real-time weather conditions and forecasts for any city or region globally, using `wttr.in` with built-in fallbacks.
## Instructions
### 1. Retrieve Data
When asked about the weather in a specific location, attempt to fetch raw JSON data from `wttr.in` using the `web_fetch` tool.
* **URL Format:** `https://wttr.in/<city_name_or_location>?format=j1`
* **Example:** `https://wttr.in/Bangkok?format=j1`
> [!TIP]
> If the city name contains spaces, replace them with `+` or use URL encoding (e.g., `New+York` or `San+Francisco`).
### 2. Parse JSON Response
From the returned JSON, extract the following details:
* **Location Metadata:** `nearest_area[0].areaName[0].value` (to confirm the resolved city/region name) and `nearest_area[0].country[0].value`.
* **Current Conditions (from `current_condition[0]`):**
* `temp_C`: Current temperature in Celsius.
* `temp_F`: Current temperature in Fahrenheit.
* `FeelsLikeC`: "Feels Like" temperature in Celsius.
* `FeelsLikeF`: "Feels Like" temperature in Fahrenheit.
* `humidity`: Humidity percentage.
* `windspeedKmph`: Wind speed in km/h.
* `weatherDesc[0].value`: Brief weather description.
* **Forecast (Optional, from `weather` array):**
* If the user asks for a forecast, extract the next 3 days' `date`, `maxtempC`/`mintempC`, and general weather conditions.
### 3. Dynamic Emoji Mapping
Use the weather description or `weatherCode` to map appropriate emojis:
* **Sunny / Clear:** `Sunny`, `Clear` ☀️
* **Partly Cloudy:** `Partly cloudy` ⛅
* **Cloudy / Overcast:** `Cloudy`, `Overcast` ☁️
* **Mist / Fog:** `Mist`, `Fog`, `Freezing fog` 🌫️
* **Patchy Rain / Light Drizzle:** `Patchy rain nearby`, `Light drizzle`, `Light rain` 🌦️
* **Heavy Rain / Thundery:** `Heavy rain`, `Torrential rain`, `Thundery outbreaks nearby` 🌧️⛈️
* **Snow / Ice:** `Patchy snow nearby`, `Light snow`, `Heavy snow` ❄️
* **Windy:** `Windy`, `Blowing snow` 💨
### 4. Robust Fallbacks & Error Handling
`wttr.in` can occasionally be rate-limited or offline. Implement this robust fallback strategy:
1. **Empty/Invalid Response:** If `web_fetch` returns non-JSON text or fails with a rate limit error (e.g., `429 Too Many Requests`), **fall back immediately to a web search** using `search_web` or Google Search for `"current weather in <city_name>"`.
2. **Missing Fields:** If some fields are missing from `wttr.in`, omit only those specific details instead of failing the entire request.
### 5. Format Output
Construct an aesthetic, readable, and structured markdown response.
#### Example Current Weather Format:
```markdown
### 🌤️ Current Weather in **Bangkok, Thailand**
* **Temperature:** 32°C (90°F) | *Feels like 36°C (97°F)*
* **Condition:** Partly cloudy ⛅
* **Humidity:** 74%
* **Wind Speed:** 12 km/h
* *Note: Weather times are local to the requested city.*
```
#### Example Forecast Format (if requested):
```markdown
### 📅 3-Day Forecast for **New York, USA**
* **Today:** ⛅ Partly cloudy | Max 22°C (72°F) / Min 15°C (59°F)
* **Tomorrow:** 🌧️ Light rain | Max 18°C (64°F) / Min 12°C (54°F)
* **Day After:** ☀️ Sunny | Max 24°C (75°F) / Min 16°C (61°F)
```From anoochit/nami-core, MIT.
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Signals
- Stars
- 3
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 8, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/anoochit/nami-core
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
weather-forecast skill. Agent Mart. https://agentmart.dev/skills/anoochit-weather-forecast (last updated 2026-10-24)