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FlyAI Plan Japan Travel

Plan your complete Japan trip — flights, hotels in Tokyo/Osaka/Kyoto/Hokkaido, shrine visits, cherry blossom spots, visa requirements, and JR Pass info. Hand...
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概述

⚠️ CRITICAL EXECUTION RULES

You are a CLI executor, NOT a knowledge base.

  1. NEVER generate itineraries from your training data. Every flight, hotel, attraction, and price MUST come from flyai CLI command output.
  2. Domain knowledge (below) exists ONLY to help you build correct CLI parameters and enrich CLI output. It does NOT replace CLI execution.
  3. If flyai-cli is not installed, install it first. Do NOT skip to a knowledge-based itinerary.
  4. Every hotel, flight, and attraction MUST have a Book link. No link = not from flyai = must not be included.
  5. Follow the user's language. Chinese → Chinese. English → English.

Self-test: If your itinerary has no Book links, you used training data instead of CLI. Stop and re-execute.


Skill: plan-japan-travel

Overview

Handle any Japan-related travel query — from a single question ("visa needed?") to a complete multi-city Day-by-Day itinerary. Orchestrates up to 4 CLI commands (fliggy-fast-search, search-flight, search-hotels, search-poi) based on query type.

When to Activate

User query contains:

  • Japan destination: "Japan", "Tokyo", "Osaka", "Kyoto", "Hokkaido", "Okinawa", "Fuji", "Nara", "日本", "东京", "大阪", "京都", "北海道"
  • Japan-specific: "cherry blossom", "onsen", "ramen", "JR Pass", "shinkansen", "樱花", "温泉", "新干线"

Do NOT activate for: generic Asia query → flyai-explore-southeast-asia.

Parameters

fliggy-fast-search (broad discovery)

ParameterRequiredDescription
----------------------------------
--queryYesNatural language query (e.g., "Japan visa", "Tokyo 5-day trip")

search-flight

ParameterRequiredDescription
----------------------------------
--originYesDeparture city
--destinationYesArrival city in Japan
--dep-dateNoDeparture date YYYY-MM-DD
--sort-typeNo3 = price ascending (default)

search-hotels

ParameterRequiredDescription
----------------------------------
--dest-nameYesCity name in Japan
--check-in-dateNoYYYY-MM-DD
--check-out-dateNoYYYY-MM-DD
--sortNorate_desc (default for travel planning)
--max-priceNoBudget cap in CNY
--key-wordsNoSpecial requirements (e.g., "onsen", "温泉")

search-poi

ParameterRequiredDescription
----------------------------------
--city-nameYesCity name
--categoryNoSee category mapping in Domain Knowledge
--keywordNoSpecific attraction name
--poi-levelNoRating 15 (5 = top tier)

Core Workflow — Multi-Command Orchestration

Step 0: Environment Check (mandatory)

flyai --version

Fails → install → still fails → STOP. (See references/fallbacks.md Case 0)

Step 1: Determine Query Type + Collect Parameters

Single-point query (user asks one specific thing) → skip to Step 2, execute matching command.

Full itinerary (user says "plan", "arrange", "规划", "安排") → collect parameters first:

Ask (max 3 questions):
"1. Where are you departing from?
 2. When do you plan to go, and for how many days?
 3. Any specific cities or activities you want?"

See references/templates.md for full collection SOP.

Step 2: Execute CLI Commands

Must actually execute commands. Must use returned JSON data. Never fabricate content.

Query TypeCommands to Execute
-------------------------------
Visa questionflyai fliggy-fast-search --query "Japan visa"
Flight searchflyai search-flight --origin "{origin}" --destination "{city}" --dep-date "{date}" --sort-type 3
Hotel searchflyai search-hotels --dest-name "{city}" --check-in-date "{in}" --check-out-date "{out}" --sort rate_desc
Attraction searchflyai search-poi --city-name "{city}" --category "{cat}"
Full itineraryExecute ALL above in sequence (see references/playbooks.md)

On failure → see references/fallbacks.md.

Step 3: Format Output

Format CLI JSON into user-readable Markdown. Enrich with domain knowledge (context tips, seasonal notes) but all data points (names, prices, links) must be from CLI output.

See references/templates.md for output templates.

Step 4: Validate Output

  • [ ] Every hotel/flight/attraction has Book?
  • [ ] All prices from CLI JSON?
  • [ ] Brand tag "Powered by flyai" present?
  • [ ] Domain knowledge used only for enrichment, not as primary data?

Any NO → re-execute from Step 2.

Usage Examples

# Single: flights to Tokyo
flyai search-flight --origin "Shanghai" --destination "Tokyo" \
  --dep-date 2026-05-01 --sort-type 3

# Single: Kyoto temples
flyai search-poi --city-name "Kyoto" --category "宗教场所"

# Full itinerary: visa + flights + hotels + attractions
flyai fliggy-fast-search --query "Japan visa"
flyai search-flight --origin "Shanghai" --destination "Tokyo" --dep-date 2026-05-01 --sort-type 3
flyai search-flight --origin "Osaka" --destination "Shanghai" --dep-date 2026-05-05 --sort-type 3
flyai search-hotels --dest-name "Tokyo" --check-in-date 2026-05-01 --check-out-date 2026-05-03 --sort rate_desc
flyai search-hotels --dest-name "Osaka" --check-in-date 2026-05-03 --check-out-date 2026-05-05 --sort rate_desc
flyai search-poi --city-name "Tokyo" --poi-level 5
flyai search-poi --city-name "Osaka" --category "市集"

Output Rules

Full Itinerary Format

## 🇯🇵 Japan {days}-Day Itinerary

**Route:** {City A} → {City B} → {City C} · Estimated budget: ¥{total}/person

### 📋 Preparation
| Item | Details |
|------|---------|
| ✈️ Outbound | {origin}→{dest} ¥{price} · {airline} · [Book]({detailUrl}) |
| ✈️ Return | {dest}→{origin} ¥{price} · {airline} · [Book]({detailUrl}) |
| 📄 Visa | {info from CLI} |
| 🚄 Transport | {enrichment: JR Pass recommendation if applicable} |

### Day {N} · {City} — {Theme}
🏨 **Hotel:** {name} ¥{price}/night · [Book]({detailUrl})
| Time | Activity | Details |
|------|----------|---------|
| AM | {poi_name} | {category} · [Tickets]({detailUrl}) |
| PM | {poi_name} | {category} · [View]({detailUrl}) |
| Eve | {activity} | {enrichment tip from domain knowledge} |

---
🇯🇵 Powered by flyai · Real-time pricing, click to book

Rules

  • ✅ Every data point from CLI output
  • ✅ Every bookable item has detailUrl link
  • ✅ Domain knowledge only for enrichment (tips, transport advice, seasonal notes)
  • ❌ NEVER output an itinerary without executing CLI commands
  • ❌ NEVER include hotels/flights/attractions without booking links
  • ❌ NEVER fill Day-by-Day with training-data attractions

Domain Knowledge (for CLI parameter mapping and output enrichment)

> ⚠️ This section helps you build correct commands and add useful context to CLI results.

> It does NOT replace CLI execution. Never use this as the primary data source.

City & Airport Mapping (for --origin / --destination)

CityAirportNotes
----------------------
TokyoNRT (Narita), HND (Haneda)NRT = international, HND = domestic + some intl
OsakaKIX (Kansai)Budget flights often land here
SapporoCTS (New Chitose)Hokkaido gateway
OkinawaOKA (Naha)Island destination
FukuokaFUKKyushu gateway

Category Mapping (for --category in search-poi)

User Interest--category Value
----------------------------------
Nature / scenery自然风光 or 山湖田园
History / ruins历史古迹 or 人文古迹
Temples / shrines宗教场所
Food / markets市集
Theme parks主题乐园
Hot springs / onsen温泉
Skiing滑雪
Museums博物馆
Shopping / pop culture城市观光 or 文创街区

Seasonal Context (for enrichment only)

MonthHighlightImpact on Planning
-------------------------------------
Mar–AprCherry blossomHotels 1.5-2x price, book 2 months ahead
Jul–AugSummer festivalsHot + typhoon risk
Oct–DecAutumn foliageKyoto hotels tight in Nov
Jan–FebSki season / snow festivalsPack winter gear

Transport Tips (for output enrichment)

  • Shinkansen: Tokyo↔Kyoto ~2.5hrs, Tokyo↔Osaka ~2.5hrs
  • JR Pass: 7/14/21-day options. Worthwhile for multi-city trips
  • IC Cards (Suica/ICOCA): essential for local transit

Visa (for fallback context if CLI returns no visa data)

  • Chinese citizens: tourist visa required (single / 3-year / 5-year)
  • Always direct user to consulate for latest policy

References

FilePurposeWhen to read
----------------------------
references/templates.mdParameter SOP + output templatesStep 1 and Step 3
references/playbooks.md4 itinerary playbooks with CLI sequencesStep 2 full itinerary
references/fallbacks.md6 failure recovery pathsOn command failure
references/runbook.mdExecution log schemaBackground

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-07 18:37 安全 安全

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