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early-flights早班航班

Agent Skill

early-flights 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。

总安装

2,221

周安装

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下载量

719
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:early-flights(早班航班)
来源仓库:https://github.com/dingtom336-gif/early-flights
安装命令:
openclaw skills install early-flights
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 early-flights

简介

early-flights 用于查询当天最早出发的航班,帮助用户最大化目的地白天时间利用。

  • 适合在 OpenClaw 中规划高效差旅或紧凑行程安排时使用。
  • 结果按起飞时间升序排列,便于快速筛选可用班次。
  • 安装命令为 openclaw skills install early-flights,需确认地理位置与航空公司覆盖范围。
  • 建议核对票价变动与舱位余量,避免依赖过时数据做出决策。

SKILL.md

name
early-flights
description
Find the earliest departing flights of the day — maximize your day at the destination by arriving before noon. Sorted by departure time. 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: early-flights

Overview

Find the earliest departing flights of the day — maximize your day at the destination by arriving before noon. Sorted by departure time.

When to Activate

User query contains:

  • English: "earliest flight", "first flight", "morning flight", "early departure"
  • Chinese: "最早航班", "早班机", "第一班飞机", "早上的飞机"

Do NOT activate for: red-eye → red-eye-flights

Prerequisites

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

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
--back-dateNoReturn date for round-trip
--sort-typeNoAlways 6 (earliest departure)
--max-priceNoPrice ceiling in CNY
--journey-typeNoDefault: show both
--seat-class-nameNoCabin class (economy/business/first)
--dep-hour-startNoDeparture hour filter start (0-23)
--dep-hour-endNoDeparture hour filter end (0-23)

Sort Options

ValueMeaning
1Price descending
2Recommended
3Price ascending
4Duration ascending
5Duration descending
6Earliest departure
7Latest departure
8Direct 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: First Flight Out

Trigger: "earliest", "最早"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --dep-hour-start 5 --dep-hour-end 9 --sort-type 6

Output: Show 5-9 AM flights, earliest first.

Playbook B: Early + Cheap

Trigger: "cheapest morning flight"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --dep-hour-start 5 --dep-hour-end 9 --sort-type 3

Output: Morning flights sorted by price.

Playbook C: Before Meeting

Trigger: "arrive by 10am", "10点前到"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --dep-hour-start 5 --dep-hour-end 7 --sort-type 6

Output: Ultra-early to arrive before 10am for business.

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 "Beijing" --dep-date 2026-05-01 --dep-hour-start 5 --dep-hour-end 9 --sort-type 6

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.

Early morning flights (5-9 AM) are often 10-20% cheaper than midday. Best for same-day business trips. Arrive by lunch, full afternoon ahead. Consider airport proximity — early flights from secondary airports (SHA vs PVG) may be more convenient.

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

71.45%
按下载量换算514

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可疑

ClawScan

通过

Static analysis

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 early-flights 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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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