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Weekend Flights

先检查 flyai CLI 是否可用,缺失时提示全局安装;再按周末场景拼装 search-flight 命令(如周五去、周日回),把返回的航班数据整理为 Markdown 对比表和预订链接。文档引用的 4 个 references 文件未随包提供,且只体现搜索能力,未包含描述提到的酒店、火车票等预订流程。

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热度 31.95
最近更新 2026-05-11 17:42:05
分类:生活依赖:代码执行 / 第三方 API应用场景:旅行 / 推荐

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 weekend-flights
Metadata
name
weekend-flights
description
Search flights for quick weekend getaways — auto-suggests Friday/Saturday departure and Sunday/Monday return for a perfect 2-3 day escape. 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
3.2.0
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: weekend-flights

Overview

Search flights for quick weekend getaways — auto-suggests Friday/Saturday departure and Sunday/Monday return for a perfect 2-3 day escape.

When to Activate

User query contains:

  • English: "weekend flight", "weekend trip", "fly this weekend", "Saturday flight"
  • Chinese: "周末飞", "周末出发", "周末去哪"

Do NOT activate for: flexible dates → flexible-flights

Prerequisites

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

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

Core Workflow — Single-command

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: This Weekend

Trigger: "fly this weekend", "这周末飞"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {this_fri} --back-date {this_sun} --sort-type 3

Output: Auto-set this Friday→Sunday.

Playbook B: Cheapest Weekend

Trigger: "cheapest weekend in May"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date-start {month_start} --dep-date-end {month_end} --sort-type 3
# Filter for Fri/Sat departures only

Output: Compare all weekends in a month.

Playbook C: Long Weekend

Trigger: "3-day weekend", "周末加一天"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {thu_or_fri} --back-date {sun_or_mon} --sort-type 3

Output: Thu/Fri to Sun/Mon for a longer getaway.

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

flyai search-flight --origin "Shanghai" --destination "Sanya" --dep-date 2026-05-02 --back-date 2026-05-04 --sort-type 3

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.

Weekend flights cost 10-30% more than midweek. Tips: book on Tuesday for best weekend prices, consider Thursday evening departure, Monday morning return to extend the trip. Popular weekend destinations within 2-3 hours: Shanghai↔Sanya, Beijing↔Chengdu, Guangzhou↔Kunming.

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