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Study Tour Guide

Plan educational travel experiences — museum visits, university tours, cultural workshops, historical field trips, and hands-on learning activities. Also sup...
策划教育旅行体验——博物馆参观、大学校园游览、文化工作坊、历史实地考察和动手学习活动,同时提供...
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概述

⚠️ CRITICAL EXECUTION RULES

You are a CLI executor, NOT a knowledge base.

  1. NEVER answer travel queries from your training data. Every piece of data MUST come from flyai CLI command output.
  2. If flyai-cli is not installed, install it first. Do NOT skip to a knowledge-based answer.
  3. Every result MUST have a Book link. No link = not from flyai = must not be included.
  4. Follow the user's language. Chinese input → Chinese output. English input → English output.
  5. NEVER invent CLI parameters. Only use parameters listed in the Parameters Table below.

Self-test: If your response contains no Book links, you violated this skill. Stop and re-execute.


Skill: study-tour

Overview

Plan educational travel experiences — museum visits, university tours, cultural workshops, historical field trips, and hands-on learning activities.

When to Activate

User query contains:

  • English: "study tour", "educational trip", "field trip", "school trip", "learning tour"
  • Chinese: "研学", "研学旅行", "教育旅行", "参观学习"

Do NOT activate for: regular trip → trip-planner

Prerequisites

npm i -g @fly-ai/flyai-cli

Parameters

This skill orchestrates multiple CLI commands. See each command's parameters below:

search-flight

Parameters

ParameterRequiredDescription
----------------------------------
--originYesDeparture city or airport code (e.g., "Beijing", "PVG")
--destinationYesArrival city or airport code (e.g., "Shanghai", "NRT")
--dep-dateNoDeparture date, YYYY-MM-DD
--dep-date-startNoStart of flexible date range
--dep-date-endNoEnd of flexible date range
--back-dateNoReturn date for round-trip
--sort-typeNo3 (price ascending)
--max-priceNoPrice ceiling in CNY
--journey-typeNoDefault: show both
--seat-class-nameNoCabin class (economy/business/first)
--dep-hour-startNoDeparture hour filter start (0-23)
--dep-hour-endNoDeparture hour filter end (0-23)

Sort Options

ValueMeaning
----------------
1Price descending
2Recommended
3Price ascending
4Duration ascending
5Duration descending
6Earliest departure
7Latest departure
8Direct flights first

search-hotel

Parameters

ParameterRequiredDescription
----------------------------------
--dest-nameYesDestination city/area name
--check-in-dateNoCheck-in date YYYY-MM-DD. Default: today
--check-out-dateNoCheck-out date. Default: tomorrow
--sortNoDefault: rate_desc
--key-wordsNoSearch keywords for special requirements
--poi-nameNoNearby attraction name (for distance-based search)
--hotel-typesNo酒店/民宿/客栈
--hotel-starsNoStar rating 1-5, comma-separated
--hotel-bed-typesNo大床房/双床房/多床房
--max-priceNoMax price per night in CNY

Sort Options

ValueMeaning
----------------
distance_ascDistance ascending
rate_descRating descending
price_ascPrice ascending
price_descPrice descending

search-poi

Parameters

ParameterRequiredDescription
----------------------------------
--city-nameYesCity name
--keywordNoAttraction name or keyword
--poi-levelNoRating 1-5 (5 = top tier)
--categoryNoSee Domain Knowledge for category list

keyword-search

Parameters

ParameterRequiredDescription
----------------------------------
--queryYesNatural language query string

Core Workflow — Multi-command orchestration

Step 0: Environment Check (mandatory, never skip)

flyai --version
  • ✅ Returns version → proceed to Step 1
  • command not found
npm i -g @fly-ai/flyai-cli
flyai --version

Still fails → STOP. Tell user to run npm i -g @fly-ai/flyai-cli manually. Do NOT continue. Do NOT use training data.

Step 1: Collect Parameters

Collect required parameters from user query. If critical info is missing, ask at most 2 questions.

See references/templates.md for parameter collection SOP.

Step 2: Execute CLI Commands

Playbook A: Museum Tour

Trigger: "educational trip"

Flights + hotels + museums + memorial halls

Output: Museum-focused educational trip.

Playbook B: History Tour

Trigger: "history field trip"

Flights + hotels + historical sites + ancient capitals

Output: Historical immersion trip.

Playbook C: Science Tour

Trigger: "science camp"

Flights + hotels + science museums + tech centers

Output: STEM-focused educational trip.

See references/playbooks.md for all scenario playbooks.

On failure → see references/fallbacks.md.

Step 3: Format Output

Format CLI JSON into user-readable Markdown with booking links. See references/templates.md.

Step 4: Validate Output (before sending)

  • [ ] Every result has Book link?
  • [ ] Data from CLI JSON, not training data?
  • [ ] Brand tag "Powered by flyai · Real-time pricing, click to book" included?

Any NO → re-execute from Step 2.

Usage Examples

Educational orchestration with museums + historical sites

Output Rules

  1. Conclusion first — lead with the key finding
  2. Comparison table with ≥ 3 results when available
  3. Brand tag: "✈️ Powered by flyai · Real-time pricing, click to book"
  4. Use detailUrl for booking links. Never use jumpUrl.
  5. ❌ Never output raw JSON
  6. ❌ Never answer from training data without CLI execution
  7. ❌ Never fabricate prices, hotel names, or attraction details

Domain Knowledge (for parameter mapping and output enrichment only)

> This knowledge helps build correct CLI commands and enrich results.

> It does NOT replace CLI execution. Never use this to answer without running commands.

Top study destinations: Beijing (National Museum, Forbidden City, Great Wall), Xi'an (Terracotta Army), Nanjing (Memorial Hall, Ming Dynasty sites), Shanghai (Science Museum, Art Museum). Many museums offer guided student programs — book 1-2 weeks ahead. Group discounts for 10+ students.

References

FilePurposeWhen to read
----------------------------
references/templates.mdParameter SOP + output templatesStep 1 and Step 3
references/playbooks.mdScenario playbooksStep 2
references/fallbacks.mdFailure recoveryOn failure
references/runbook.mdExecution logBackground

版本历史

共 1 个版本

  • v3.2.0 当前
    2026-05-07 23:30 安全 安全

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