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trip-discover旅行发现

Agent Skill

trip-discover 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

10,575

周安装

432

GitHub Stars

公开资料未说明

下载量

3,387
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:trip-discover(旅行发现)
来源仓库:https://github.com/swayamg20/trip-discover
安装命令:
openclaw skills install trip-discover
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 trip-discover

简介

用于查找、检索和筛选相关信息,支持旅行目的地推荐。

  • 适合在 OpenClaw 中需要根据氛围、预算和团体规模寻找度假地时使用。
  • 通过 clawhub 安装,结合原始 README 可进一步了解具体用法和交互方式。
  • 安装前需确认权限范围、维护状态,注意是否涉及联网或数据访问操作。
  • trip-discover 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
trip-discover
description
Recommend travel destinations based on vibe, budget, duration, and group size. Handles "suggest a trip", "where should I go", "weekend getaway", "compare X vs Y", and "plan from my saved places".

Trip Discover

When to activate

  • User asks for trip suggestions: "weekend trip", "where should I go", "suggest somewhere"
  • User gives a vibe: "mountains", "beaches", "offbeat", "party", "peaceful"
  • User says "plan from my saves" or "pick from my wishlist"
  • User asks to compare: "Kasol vs Bir", "which is better"

Input parsing

Extract from user message (ask only if critical info missing):

  • Vibe: mountains / beaches / heritage / adventure / spiritual / nightlife / offbeat
  • Budget: total per person in ₹ (default: ₹5000-8000 for weekend)
  • Duration: weekend (2-3 days) / long weekend (4 days) / week
  • Group: solo / couple / friends / family
  • From city: assume Delhi unless stated or known from memory

How to recommend

  1. Search the web for current relevant destinations
  2. Pick 2-3 destinations. Lead with your top pick.
  3. For each provide:

- Name + one opinionated line (not generic) - Travel time from their city + how to get there - Rough cost estimate per person - Current weather - Why THIS trip for THIS person

"Plan from my saves" flow

  1. Check memory for saved destinations
  2. Filter by current vibe/budget/duration
  3. Recommend from saves first, then add new discoveries

Compare flow ("Kasol vs Bir")

Search web for both. Present side-by-side:

  • Vibe, travel time, cost, weather, best for
  • End with: "My pick: X — because..."

Response format

🏔️ My pick: Kasol, Himachal Pradesh Backpacker paradise with killer cafes and the Kheerganga trek. 12 hrs by Volvo from Delhi (₹1200). Stay: ₹800-1500/night. March weather: 10-18°C, perfect trekking season. Total estimate: ₹6,500/person for 3 days.

Also consider:

  • Tirthan Valley — quieter, great for couples
  • Bir — paragliding + monasteries, slightly cheaper

Want me to plan Kasol? Or compare any two?

Rules

  • Max 3 destinations. Never more.
  • No generic descriptions — be specific and opinionated
  • Always check current weather/season via web search
  • Check saved places in memory if user has any

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

95.39%
按下载量换算3,231

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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

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。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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