iqair
Get real-time air quality data from IQAir API for any location worldwide. Returns AQI (Air Quality Index) with visual indicators and quality levels. Use when asked about air quality, pollution levels, or AQI in specific cities/locations (e.g., "How is the air in Riga?", "Is it safe to go outside in Beijing?", "What's the air quality like?"). Also use when asked about general weather to supplement weather data with air quality information (e.g., "What's the weather in Budapest?", "How's the weather today?").
Best use case
iqair is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Get real-time air quality data from IQAir API for any location worldwide. Returns AQI (Air Quality Index) with visual indicators and quality levels. Use when asked about air quality, pollution levels, or AQI in specific cities/locations (e.g., "How is the air in Riga?", "Is it safe to go outside in Beijing?", "What's the air quality like?"). Also use when asked about general weather to supplement weather data with air quality information (e.g., "What's the weather in Budapest?", "How's the weather today?").
Teams using iqair should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/iqair/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How iqair Compares
| Feature / Agent | iqair | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Get real-time air quality data from IQAir API for any location worldwide. Returns AQI (Air Quality Index) with visual indicators and quality levels. Use when asked about air quality, pollution levels, or AQI in specific cities/locations (e.g., "How is the air in Riga?", "Is it safe to go outside in Beijing?", "What's the air quality like?"). Also use when asked about general weather to supplement weather data with air quality information (e.g., "What's the weather in Budapest?", "How's the weather today?").
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
SKILL.md Source
# IQAir Air Quality Checker Get real-time air quality data from the IQAir API with formatted output including AQI score, emoji indicator, and quality level. ## Prerequisites **API Key Required**: User must have a free IQAir API key stored in the `IQAIR_API_KEY` environment variable. If the key is not set, guide the user: 1. Visit https://dashboard.iqair.com/personal/api-keys 2. Sign up/sign in and subscribe to the free Community plan 3. Copy the API key 4. Set it: `export IQAIR_API_KEY="your_key_here"` ## Quick Usage **By city name:** ```bash python scripts/get_aqi.py Riga Latvia python scripts/get_aqi.py London "United Kingdom" python scripts/get_aqi.py Budapest Hungary ``` **By coordinates (most reliable):** ```bash python scripts/get_aqi.py --lat 56.9496 --lon 24.1052 ``` **Nearest city (based on IP):** ```bash python scripts/get_aqi.py --nearest ``` ## How to Respond to User Queries When a user asks about air quality: 1. **Determine the location** - Extract city/country from their query 2. **Run the script** - Use `scripts/get_aqi.py` with appropriate arguments 3. **Return formatted output** - The script provides emoji, AQI value, level, and location **Example interaction:** User: "How good is air in Riga?" Response process: - Location: Riga, Latvia - Run: `python scripts/get_aqi.py Riga Latvia` - Output: `🟢 19 - Good\nRiga, Latvia` - Reply: "Air quality in Riga is currently excellent! 🟢 19 (Good)" ## Handling Location Names **City/country names**: - Use exact names as they appear in IQAir's database - Capital cities: Often the state/province matches the city name - If city lookup fails, try coordinates instead **Common location patterns**: - Riga, Latvia → `Riga Latvia` (state defaults to city) - London, UK → `London "United Kingdom"` (quote if spaces) - New York, USA → `"New York" "United States" "New York"` (city, country, state) **When in doubt**: Use coordinate-based lookup with `--lat` and `--lon` (more reliable). ## Output Format The script returns a concise, formatted string: ``` 🟢 45 - Good Riga, Latvia ``` Customize your response based on the AQI level: - **0-50 (🟢 Good)**: "Excellent", "Perfect for outdoor activities" - **51-100 (🟡 Moderate)**: "Acceptable", "Sensitive people should limit prolonged outdoor exertion" - **101-150 (🟠 USG)**: "Unhealthy for sensitive groups", "Children and people with respiratory issues should reduce outdoor exertion" - **151-200 (🔴 Unhealthy)**: "Everyone may experience health effects", "Reduce outdoor activities" - **201-300 (🟣 Very Unhealthy)**: "Health alert", "Avoid outdoor activities" - **301+ (🟤 Hazardous)**: "Emergency conditions", "Stay indoors" ## Technical Details For API specifications, endpoints, and error handling, see `references/api.md`. ## Rate Limits Free Community plan limits: - 5 calls/minute - 500 calls/day - 10,000 calls/month Avoid making repeated calls for the same location within short time periods.
Related Skills
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
botlearn-healthcheck
botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.
linkedin-cli
A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.
notebooklm
Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成(播客、视频、幻灯片、测验、思维导图等)、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。
小红书长图文发布 Skill
## 概述