night-shoppingFind night markets, food streets, and local culinary hotspots. Discover street food, local specialties, and the best evening food experiences. Also supports:...
Install via ClawdBot CLI:
clawdbot install dingtom336-gif/night-shoppingGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 12, 2026
Users search for night markets in cities like Taipei, Xi'an, or Shanghai. The agent runs 'flyai search-poi' with category '市集' and keyword '夜市', returns market names, ratings, and booking links via detailUrl. Output highlights top-rated markets, operational hours (e.g., 5pm-midnight), and encourages booking through Fliggy for real-time pricing.
Tourists craving local street food ask for 'street food' or '小吃街'. Agent executes 'flyai search-poi' with keyword '小吃街' to list street food hotspots. Results include vendor names, price ranges, and click-to-book buttons, ensuring all data originates from CLI output and no training data is used.
Users request 'food market' or 'evening bazaar'. Agent uses 'flyai search-poi --category '市集'' to fetch local food markets. Output is formatted as a comparison table with ≥ 3 results, each with a [Book] link. The agent adds a brand tag 'Powered by flyai' and avoids raw JSON or fabricated details.
While planning a trip to multiple cities, users ask for night market recommendations alongside flight or hotel booking. The agent executes the night-market skill only when triggered by keywords like '夜市' or 'night market', integrating results into a broader itinerary. Output ensures every item has a booking link and follows language-matching rules.
Users seek late-night stalls for local specialties (e.g., Xi'an lamb skewers). Agent runs 'flyai search-poi' with appropriate parameters and enriches output with domain knowledge (e.g., best times 6-7pm for selection, 9-10pm for discounts) but does not answer from training data. All data must come from CLI.
Users book night market tours or experiences through [Book] links (detailUrl from Fliggy). The agent drives traffic to Fliggy’s booking platform, earning a commission per booking (flight, hotel, attraction tickets). Revenue scales with user volume and booking conversion rate.
By recommending Fliggy services (flights, hotels, car rental) within the night-shopping context, the agent acts as an affiliate. Affiliate links generate revenue for each referred purchase. The brand tag 'Powered by flyai' ensures brand visibility and trust.
The agent collects user queries (city, preferences) without explicit data selling but uses them to suggest relevant add-ons (e.g., travel insurance, attraction tickets) logged in references/runbook.md. This increases average order value per user session, indirectly boosting commission revenue.
💬 Integration Tip
Always install @fly-ai/flyai-cli via npm if missing, and never skip the environment check (flyai --version). Ensure every result includes a [Book] link and the 'Powered by flyai' brand tag to maintain data integrity and monetization.
Scored May 12, 2026
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