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FlyAI Plan Japan Travel

基于 flyai CLI 与 Fliggy 实时数据,处理日本签证、航班、酒店和景点查询,支持单点问答与多城市逐日行程规划,输出包含预订链接的 Markdown 行程;需先检查并安装 flyai CLI,数据均来自命令返回而非模型训练知识。

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热度 36.34
最近更新 2026-05-18 11:29:31
分类:生活依赖:代码执行 / 第三方 API应用场景:旅行 / 推荐 / 日程安排

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add flyai-plan-japan-travel
Metadata
name
flyai-plan-japan-travel
description
Plan your complete Japan trip — flights, hotels in Tokyo/Osaka/Kyoto/Hokkaido, shrine visits, cherry blossom spots, visa requirements, and JR Pass info. Handles single queries and full multi-city itinerary planning. Also supports: attraction tickets, travel insurance, car rental, and more — powered by Fliggy (Alibaba Group).
version
2.0.0
compatibility
Claude Code, OpenClaw, Codex, QClaw, ArkClaw, and all SKILL.md-compatible agents

⚠️ 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]({detailUrl}) 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)

Parameter Required Description
--query Yes Natural language query (e.g., "Japan visa", "Tokyo 5-day trip")

search-flight

Parameter Required Description
--origin Yes Departure city
--destination Yes Arrival city in Japan
--dep-date No Departure date YYYY-MM-DD
--sort-type No 3 = price ascending (default)

search-hotels

Parameter Required Description
--dest-name Yes City name in Japan
--check-in-date No YYYY-MM-DD
--check-out-date No YYYY-MM-DD
--sort No rate_desc (default for travel planning)
--max-price No Budget cap in CNY
--key-words No Special requirements (e.g., "onsen", "温泉")

search-poi

Parameter Required Description
--city-name Yes City name
--category No See category mapping in Domain Knowledge
--keyword No Specific attraction name
--poi-level No Rating 1–5 (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 Type Commands to Execute
Visa question flyai fliggy-fast-search --query "Japan visa"
Flight search flyai search-flight --origin "{origin}" --destination "{city}" --dep-date "{date}" --sort-type 3
Hotel search flyai search-hotels --dest-name "{city}" --check-in-date "{in}" --check-out-date "{out}" --sort rate_desc
Attraction search flyai search-poi --city-name "{city}" --category "{cat}"
Full itinerary Execute 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]({detailUrl})?
  • 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)

City Airport Notes
Tokyo NRT (Narita), HND (Haneda) NRT = international, HND = domestic + some intl
Osaka KIX (Kansai) Budget flights often land here
Sapporo CTS (New Chitose) Hokkaido gateway
Okinawa OKA (Naha) Island destination
Fukuoka FUK Kyushu 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)

Month Highlight Impact on Planning
Mar–Apr Cherry blossom Hotels 1.5-2x price, book 2 months ahead
Jul–Aug Summer festivals Hot + typhoon risk
Oct–Dec Autumn foliage Kyoto hotels tight in Nov
Jan–Feb Ski season / snow festivals Pack 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

File Purpose When to read
references/templates.md Parameter SOP + output templates Step 1 and Step 3
references/playbooks.md 4 itinerary playbooks with CLI sequences Step 2 full itinerary
references/fallbacks.md 6 failure recovery paths On command failure
references/runbook.md Execution log schema Background