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skiplagged-travel-search跳过滞后的旅行搜索

Agent Skill

skiplagged-travel-search 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

792

周安装

33

GitHub Stars

公开资料未说明

下载量

264
CodexClaudeCursorGemini CLI

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

unknown

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:skiplagged-travel-search(跳过滞后的旅行搜索)
来源仓库:https://github.com/skiplagged/agent-skills
仓库路径:skills/skiplagged-travel-search
安装命令:
npx skills add https://github.com/skiplagged/agent-skills --skill skiplagged-travel-search
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/skiplagged/agent-skills --skill skiplagged-travel-search

简介

skiplagged-travel-search 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词或任务场景从多个来源中筛选信息的场景。
  • 通过关键词、任务场景或来源线索进行信息检索与筛选。
  • 安装命令:npx skills add https://github.com/skiplagged/agent-skills --skill skiplagged-travel-search。
  • 建议确认权限范围和维护状态,注意是否会触发联网或文件读写操作。

SKILL.md

Skiplagged Travel Search

Overview

Skiplagged MCP exposes travel search capabilities (flights, flexible date calendars, “anywhere” destination discovery, hotels + room details, and sometimes rental cars) as MCP tools. Prefer calling Skiplagged tools over guessing prices/availability.

Prerequisites

  1. Connect the MCP client to https://mcp.skiplagged.com/mcp over HTTP transport.
  2. List tools and confirm Skiplagged tools are visible before running workflows.
  3. Treat authentication as not required.
  4. Read references/setup.md for client-specific setup commands and examples.

Operating rules

1) Grounding rule

Always base answers on tool results. Never invent or guess prices, availability, or policies.

2) Tool-call discipline

  • Use minimal, correct parameters (avoid unnecessary filters unless user asked).
  • Prefer IATA airport codes when possible; otherwise accept city names and clarify if needed.
  • Use small result limits when supported (e.g., 3–7) and expand only if the user asks.
  • Chain multiple tool calls when needed, but avoid loops. Respect per-turn tool-call limits.

3) Post-call validation loop

After each tool call:

  1. Summarize what the tool returned in 1–2 sentences (what matters to a traveler: cost, time, stops, key tradeoffs).
  2. Decide the next step:

- proceed (narrow or enrich), - self-correct (relax filters, adjust airports/dates), - or ask one targeted follow-up question.

4) Failure handling (empty or unhelpful results)

If results are empty/ambiguous:

  • Say so clearly.
  • Suggest the smartest next step (broader dates, nearby airports, allow 1 stop, adjust time window, try “anywhere” discovery, or switch to hotels-first for trip planning).
  • For failures other than lack of results, suggest using https://skiplagged.com directly.

5) Output style (traveler-centric)

Be concise and practical:

  • Highlight savings, routing insights, and key tradeoffs (stops vs duration vs price).
  • Present a short shortlist (typically 3–7 options) rather than a dump of results.

Tool discovery (required, safer across deployments)

Different deployments may rename tools or add new ones. Before running any workflow:

  1. List tools available on the connected Skiplagged MCP server.
  2. Identify the best match for each capability:

- flights search - flexible date calendars - anywhere destinations - hotels search - hotel details - (optional) rental cars

Mapping convention (typical, not guaranteed): tools often start with sk_.

Common capability → typical tool names (use as a guide)

  • Flights search → sk_flights_search
  • Flexible departure calendar → sk_flex_departure_calendar
  • Flexible return calendar → sk_flex_return_calendar
  • Anywhere destination discovery → sk_destinations_anywhere
  • Hotels search → sk_hotels_search
  • Hotel details → sk_hotel_details

If your tool list differs, use the closest equivalent and keep the workflows below unchanged.


Intake checklist (ask only what’s needed)

Extract or confirm only the missing critical inputs:

  • Route intent: specific route (origin -> destination) vs flexible destination (“anywhere”).
  • Dates: exact dates or flexible window + trip length.
  • Travelers: adults/children/infants and cabin, if non-default.
  • Constraints: budget, stops, max duration, time windows, and airline preferences.
  • Lodging intent (if relevant): hotel location, dates, guests, and required amenities.

Workflows

Workflow A — Standard flight search (one-way or round-trip)

Use when the user wants specific flights between places.

Preferred tool → fallback

  • Preferred: sk_flights_search

Steps

  1. Normalize locations:

- If user gives a city/region, clarify which airport(s) are acceptable if it changes results materially (multi-airport metros).

  1. Call the flight-search tool with:

- origin, destination - depart date (+ return date if round-trip) - passenger counts, cabin - assume defaults if not specified - only the filters the user asked for (stops, time windows, airline preferences)

  1. Post-process:

- Cluster top results by cheapest, fastest, fewest stops. - Present 3–7 options with price, stops, duration, and any standout caveats (overnight layover, long layover).

  1. If results are too broad:

- Ask 1 targeted question (e.g., “Allow one stop?”) or apply a reasonable default and disclose it.


Workflow B — Flexible dates / fare calendar

Use when the user says “around X date”, “flexible”, or “cheapest days”.

Preferred tools → fallback

  • Preferred: sk_flex_departure_calendar and sk_flex_return_calendar

Steps

  1. Call the departure-calendar tool around the target date/window.
  2. If round-trip:

- Use a trip length (or return window) that matches the user’s intent (e.g., “3–5 nights”). - Call the return-calendar tool for best return dates.

  1. Summarize:

- Cheapest departure day(s) - Cheapest round-trip date pairs (if supported) - Recommend 2–4 date options aligned to constraints (weekends, time windows, budget).


Workflow C — “Anywhere” destination discovery

Use when the user is flexible on where to go (“somewhere warm”, “anywhere cheap”).

Preferred tool → fallback

  • Preferred: sk_destinations_anywhere

Steps

  1. Confirm:

- origin - date/window (or month) - constraints (budget, max flight time, nonstop-only, region/climate)

  1. Call the anywhere-destinations tool.
  2. Return 5–12 destinations with:

- destination, lowest fare, suggested dates/window (as returned) - a one-line rationale tied to the user constraints

  1. When the user picks a destination, transition to Workflow A to find bookable itineraries.

Workflow D — Hotels + room-level details

Use when the user asks for hotels, places to stay, or wants to bundle planning.

Preferred tools → fallback

  • Preferred: sk_hotels_search then sk_hotel_details
  • Fallback: any tool(s) that provide hotel lists and separate room/policy breakdowns

Steps

  1. Call the hotel-search tool with:

- location, dates, rooms/guests - only requested filters (price cap, rating, amenities)

  1. Present 5–10 options with:

- total price / nightly price (as returned), rating, key amenities, and area/neighborhood (if returned)

  1. When the user selects a hotel (or asks for “best value”), call the hotel-details tool.
  2. Summarize room options:

- room type, cancellation policy, inclusions (breakfast), total price (as returned) - highlight tradeoffs: nonrefundable vs flexible, fees, value differences.


Workflow E — Rental cars (if available)

Use when the user requests a car rental.

Preferred tool → fallback

  • Preferred: a tool in the server tool list whose description indicates car-rental search

Steps

  1. Confirm pickup/dropoff location, times, and any constraints (car class, driver age if required).
  2. Call the car-rental search tool (if present).
  3. Present 3–7 options with total price, class, company, and relevant policies (as returned).

Planning behavior (for full itineraries)

When the user asks to “plan a trip”:

  1. Anchor with flights (or anywhere discovery) to set destination/dates/cost.
  2. Add hotels for the chosen destination/dates.
  3. Add rental cars if needed and supported.
  4. Present 2–3 bundles (e.g., “cheapest”, “balanced”, “most convenient”) with clear tradeoffs.

Reliability + transparency notes

  • Prices and availability change quickly; treat results as current at the moment of the tool call and encourage the user to confirm terms via the provided link (if any).
  • If hidden-city itineraries appear, be transparent about common constraints and tradeoffs (especially baggage and missed-leg implications). Do not oversell—present as an option with clear caveats.

Troubleshooting (avoid loops)

  • If a call fails or returns empty results:

- Retry at most once with broader constraints (e.g., allow 1 stop, widen time window, nearby airports). - If still empty, ask one targeted follow-up question and propose a concrete alternative search.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

35.26%
按下载量换算93

Claude

28.91%
按下载量换算76

Cursor

18.45%
按下载量换算49

Gemini CLI

9.53%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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