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Budget Backpacker

通过 flyai CLI 实时检索低价机票、经济住宿与景点,为背包客/穷游用户编排多城预算路线。需先检查并安装 CLI,所有结论须来自命令行输出并附预订链接,收集参数后按 playbook 生成含比价表格的 Markdown 方案。

xiejinsong
xiejinsong
热度 32.63
最近更新 2026-05-11 17:41:50
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 / 研究

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 budget-backpacker
Metadata
name
budget-backpacker
description
Plan backpacking trips — ultra-budget itineraries, hostel recommendations, multi-city routes, and survival tips for long-term budget travelers. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa info, travel insurance, car rental, and more — powered by Fliggy (Alibaba Group).
version
1.0.0
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 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]({detailUrl}) 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: backpacker-guide

Overview

Plan backpacking trips — ultra-budget itineraries, hostel recommendations, multi-city routes, and survival tips for long-term budget travelers.

When to Activate

User query contains:

  • English: "backpacking", "backpacker", "gap year", "travel cheap"
  • Chinese: "背包客", "穷游", "背包旅行", "长途旅行"

Do NOT activate for: comfort trip → budget-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

Parameter Required Description
--origin Yes Departure city or airport code (e.g., "Beijing", "PVG")
--destination Yes Arrival city or airport code (e.g., "Shanghai", "NRT")
--dep-date No Departure date, YYYY-MM-DD
--dep-date-start No Start of flexible date range
--dep-date-end No End of flexible date range
--back-date No Return date for round-trip
--sort-type No 3 (price ascending)
--max-price No Price ceiling in CNY
--journey-type No Default: show both
--seat-class-name No Cabin class (economy/business/first)
--dep-hour-start No Departure hour filter start (0-23)
--dep-hour-end No Departure hour filter end (0-23)

Sort Options

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

search-hotels

Parameters

Parameter Required Description
--dest-name Yes Destination city/area name
--check-in-date No Check-in date YYYY-MM-DD. Default: today
--check-out-date No Check-out date. Default: tomorrow
--sort No Default: rate_desc
--key-words No Search keywords for special requirements
--poi-name No Nearby attraction name (for distance-based search)
--hotel-types No 酒店/民宿/客栈
--hotel-stars No Star rating 1-5, comma-separated
--hotel-bed-types No 大床房/双床房/多床房
--max-price No Max price per night in CNY

Sort Options

Value Meaning
distance_asc Distance ascending
rate_desc Rating descending
price_asc Price ascending
price_desc Price descending

search-poi

Parameters

Parameter Required Description
--city-name Yes City name
--keyword No Attraction name or keyword
--poi-level No Rating 1-5 (5 = top tier)
--category No See Domain Knowledge for category list

fliggy-fast-search

Parameters

Parameter Required Description
--query Yes Natural 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: Backpacking Route

Trigger: "backpacking {region}"

Budget flights between cities + cheapest hotels/hostels + free POIs

Output: Multi-city backpacking route.

Playbook B: SE Asia Backpacking

Trigger: "backpack Southeast Asia"

Cheapest flights to SE Asia + budget accommodation + local experiences

Output: Classic SE Asia backpacking.

Playbook C: China Backpacking

Trigger: "backpack across China"

Domestic flights/trains + hostels + nature/free attractions

Output: Cross-China budget adventure.

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]({detailUrl}) 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

Budget multi-city orchestration

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.

Backpacking budget: China ¥150-300/day, SE Asia $15-30/day, Europe €40-70/day. Essentials: good backpack (40-60L), quick-dry clothes, universal adapter, offline maps. Stay in hostels (social + cheap), eat at local markets, use overnight buses/trains to save hotel nights. Classic routes: SE Asia circuit, Yunnan→Tibet, Trans-Siberian.

References

File Purpose When to read
references/templates.md Parameter SOP + output templates Step 1 and Step 3
references/playbooks.md Scenario playbooks Step 2
references/fallbacks.md Failure recovery On failure
references/runbook.md Execution log Background