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first-class头等舱

Agent Skill

first-class 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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下载量

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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:first-class(头等舱)
来源仓库:https://github.com/xiejinsong/first-class
安装命令:
openclaw skills install first-class
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 first-class

简介

first-class 预订头等舱航班与豪华航空座椅服务。

  • 支持平躺床位与机场休息室准入安排。
  • 可扩展至酒店与行程一体化规划。first-class 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装命令:openclaw skills install first-class。
  • 需确认支付能力与票务政策变动风险。

SKILL.md

name
first-class
displayName
Book First Class Flights — Premium Cabins, Lie-Flat Seats, Airport Lounge Access
description
Book first class flights, premium cabin tickets and luxury airline seats with lie-flat beds and lounge access. 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 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. If a flag is not listed, it does not exist.

Self-test: If your response contains no [Book](...) links, you violated this skill. Stop and re-execute.


Skill: first-class

Overview

Book first class flights — premium cabins with lie-flat seats, priority boarding, and airport lounge access. For travelers who value comfort and exclusivity over price.

When to Activate

User query contains:

  • English: "first class", "premium cabin", "lie-flat seat", "luxury flight", "VIP flight", "top tier cabin"
  • Chinese: "头等舱", "豪华舱", "VIP机票", "最高舱位", "平躺座位", "贵宾航班"

Do NOT activate for: business class → business-flights

Prerequisites

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2

Parameters

ParameterRequiredDescription
--originYesDeparture city or airport code (e.g., "Beijing", "PVG")
--destinationYesArrival city or airport code (e.g., "Shanghai", "NRT")
--dep-dateNoDeparture date, YYYY-MM-DD
--dep-date-startNoStart of flexible date range
--dep-date-endNoEnd of flexible date range
--sort-typeNoDefault: 2 (recommended)
--max-priceNoPrice ceiling in CNY
--journey-typeNo1=direct, 2=connecting
--seat-class-nameNoAlways first for this skill
--dep-hour-startNoDeparture hour filter start (0-23)
--dep-hour-endNoDeparture hour filter end (0-23)

Sort Options

ValueMeaningWhen to Use
2RecommendedDefault — best first class options
3Price ascendingCompare first class pricing
4Duration ascendingFastest premium route
8Direct flights firstNon-stop first class only

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: Recommended First Class

Trigger: "first class flights", "头等舱机票"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --seat-class-name first --sort-type 2

Output: Best first class options sorted by recommendation.

Playbook B: Cheapest First Class

Trigger: "cheapest first class", "最便宜的头等舱"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --seat-class-name first --sort-type 3

Output: First class flights sorted by lowest price.

Playbook C: Direct First Class Only

Trigger: "direct first class", "直飞头等舱"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --seat-class-name first --journey-type 1 --sort-type 4

Output: Non-stop first class flights, fastest duration first.

Playbook D: Broad Search (no first class found)

Trigger: fallback when 0 results

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --seat-class-name first --sort-type 2
flyai keyword-search --query "{origin} to {destination} first class flights"

Output: Broader search + keyword fallback.

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?
  • [ ] All results are first class cabin?

Any NO → re-execute from Step 2.

Usage Examples

flyai search-flight --origin "Beijing" --destination "Shanghai" --dep-date 2026-05-01 --seat-class-name first --sort-type 2
flyai search-flight --origin "Shanghai" --destination "Tokyo" --dep-date 2026-06-01 --seat-class-name first --journey-type 1 --sort-type 4

Output Rules

  1. Conclusion first — lead with best or cheapest first class option
  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, flight numbers, or cabin 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.
User QueryCLI Parameter Mapping
"first class" / "头等舱"--seat-class-name first
"cheapest first class" / "最便宜头等舱"add --sort-type 3
"direct first class" / "直飞头等舱"add --journey-type 1 --sort-type 4
"round-trip first class" / "往返头等舱"add --back-date {date}

First class availability varies by route. Domestic trunk routes (BJ-SH, BJ-GZ) typically have 2-4 first class seats per flight. International long-haul may offer lie-flat suites. If 0 results, suggest business class as alternative.

References

FilePurposeWhen to read
references/templates.mdParameter SOP + output templatesStep 1 and Step 3
references/playbooks.mdScenario playbooksStep 2
references/fallbacks.mdFailure recoveryOn failure
references/runbook.mdExecution logBackground

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

77.63%
按下载量换算542

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可疑

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可疑

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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