travel-weatherCheck weather forecasts and best travel seasons for any destination — temperature ranges, rainy seasons, typhoon risks, and what to wear. Also supports: flig...
Install via ClawdBot CLI:
clawdbot install dingtom336-gif/travel-weatherGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 7, 2026
Users can check current weather, best travel seasons, and monthly forecasts for any destination via CLI commands like 'flyai keyword-search --query "天气 Tokyo 4月"'. This helps travelers decide when to visit based on temperature, rainy seasons, and typhoon risks.
The skill combines weather checks with booking capabilities for flights, hotels, train tickets, attraction tickets, and car rentals through Fliggy. Each output includes a booking link, enabling seamless transition from weather info to purchase.
The skill responds in the user's language (Chinese or English) and triggers on keywords like 'weather', 'temperature', '几月去好'. This makes it accessible for global travelers planning trips in different regions.
Developers and power users can integrate this CLI tool into their workflows or scripts for automated travel research and booking. It enforces data freshness by requiring CLI execution over training data.
Each search result includes a booking link (detailUrl) for flights, hotels, etc., likely generating affiliate revenue when users click and purchase through Fliggy.
The CLI tool is free and open-source (npm package), but relies on Fliggy's commercial APIs. Usage is free for users, while Fliggy gains traffic and potential conversions.
The skill can be packaged for enterprise travel management systems or AI agent platforms (e.g., Claude, Codex), potentially generating licensing or subscription fees.
💬 Integration Tip
Start by installing the CLI with 'npm i -g @fly-ai/flyai-cli' and test with 'flyai keyword-search --query "weather Tokyo"'. Ensure every response includes a booking link to comply with the skill's rules.
Scored May 7, 2026
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