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flyai-plan-japan-travel飞爱计划日本旅行

Agent Skill

flyai-plan-japan-travel 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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周安装

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:flyai-plan-japan-travel(飞爱计划日本旅行)
来源仓库:https://github.com/dingtom336-gif/flyai-plan-japan-travel
安装命令:
openclaw skills install flyai-plan-japan-travel
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install flyai-plan-japan-travel

简介

规划完整的日本行程,涵盖航班、主要城市住宿与签证信息。

  • 提供神社参拜路线、樱花季景点推荐及 JR 通票使用说明。
  • 帮助用户合理安排时间与预算,提升旅行体验。
  • 安装命令:openclaw skills install flyai-plan-japan-travel
  • 涉及跨境服务时请注意当地最新入境政策。

SKILL.md

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)

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]({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)

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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可疑

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通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install flyai-plan-japan-travel 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

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