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Agent Skill · 研究检索

travel-slow-experience-architect(旅行慢体验建筑师)

travel-slow-experience-architect 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。

travel-slow-experience-architect 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 28,208。

总安装 3,256周安装 133GitHub Stars 公开资料未说明下载 1,043核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:travel-slow-experience-architect(旅行慢体验建筑师)
来源仓库:https://github.com/harrylabsj/travel-slow-experience-architect
安装命令:
openclaw skills install travel-slow-experience-architect
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 travel-slow-experience-architect

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

旅行慢体验建筑师用于查找、检索和筛选相关信息,适合在 OpenClaw 中快速定位候选结果。适用于设计有意义的慢行旅行体验和深度文化探索场景。通过关键词或任务线索调用,结合来源仓库和 README 文档使用。安装前需确认权限范围和维护状态,注意可能触发联网或文件操作。建议核验具体用法后再投入实际工作流使用。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install travel-slow-experience-architect;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

travel-slow-experience-architect 怎么安装?

在终端执行 openclaw skills install travel-slow-experience-architect。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

travel-slow-experience-architect 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

travel-slow-experience-architect 需要什么权限?

权限级别是调用外部服务。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。

travel-slow-experience-architect 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

travel-slow-experience-architect 用的人多吗?

公开数据是累计安装 3,256 次,近一周安装 133 次,下载 1,043 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

travel-slow-experience-architect 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
travel-slow-experience-architect

旅行慢体验建筑师 · 本页

3,256—调用外部服务MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
Slow Travel Experience Architect
slug
travel-slow-experience-architect
description
Designs meaningful slow travel experiences
category
tourism
type
descriptive
language
en
author
Golden Bean (OpenClaw)
version
1.0.0

Slow Travel Experience Architect

Overview

Designs meaningful slow travel experiences focused on depth over checklist tourism

This is a pure descriptive skill that provides frameworks, templates, and heuristic analysis for travel planning and preparation. No real code execution, external APIs, or network requests are performed.

Trigger Keywords

Use this skill when planning travel experiences related to:

  • slow travel and experience
  • depth considerations
  • immersion planning
  • Travel meaningful if applicable
  • pace if applicable

Primary Triggers

  • "Help me plan slow travel experience architect for my upcoming trip"
  • "Provide framework for slow travel in travel context"
  • "Create checklist for slow travel experience architect"
  • "Analyze my travel situation using slow travel experience architect principles"

Workflow

  1. Input Reception: User provides travel context through natural language input
  2. Input Analysis: Skill parses input to extract key travel information:

- Destination and travel context - Timeframe and duration - Traveler type and experience level - Specific concerns or requirements - Budget considerations (if mentioned) - Group composition and needs

  1. Framework Application: Skill applies relevant travel planning frameworks and templates
  2. Recommendation Generation: Skill generates structured, actionable recommendations
  3. Output Delivery: User receives tailored travel planning insights and next steps

Output Modules

Based on design specification, this skill covers:

  • Pace and rhythm design
  • Local integration strategies
  • Meaningful connection frameworks
  • Personal growth integration

Detailed Module Descriptions

Pace and rhythm design

  • Provides structured approach to pace and rhythm design
  • Includes templates and checklists
  • Offers best practices and considerations

Local integration strategies

  • Delivers practical local integration strategies
  • Includes implementation guides
  • Provides customization options

Meaningful connection frameworks

  • Offers meaningful connection frameworks
  • Includes ethical considerations
  • Provides risk mitigation strategies

Personal growth integration

  • Provides personal growth integration
  • Includes integration guidance
  • Offers long-term planning support

Safety & Limitations

What This Skill Does

  • Provides descriptive travel planning frameworks
  • Offers heuristic analysis and recommendations
  • Delivers structured planning templates
  • Suggests considerations and best practices

What This Skill Does NOT Do

  • ❌ No real bookings: Does not book flights, hotels, or activities
  • ❌ No real-time data: Does not access live prices, availability, or weather
  • ❌ No professional advice: Does not provide medical, legal, or financial advice
  • ❌ No guarantees: Recommendations are informational only
  • ❌ No code execution: Pure descriptive analysis only
  • ❌ No external APIs: No network requests or external service calls
  • ❌ No cultural guarantees: Provides general guidance but cannot guarantee cultural appropriateness

Safety Boundaries

  • All recommendations are informational only
  • Users must verify information with official sources
  • Users should consult professionals for specific needs
  • Cultural guidance is general and may not apply to all situations

Example Prompts

Basic Usage

  • "Help me with slow travel experience architect for my trip to Japan"
  • "Provide slow travel framework for travel planning"
  • "Create slow travel experience architect checklist for my upcoming vacation"

Intermediate Usage

  • "I'm traveling to slow travel destination for 2 weeks, help me plan slow travel experience architect"
  • "Analyze my travel situation: destination Paris, duration 10 days, budget $3000"
  • "Generate slow travel experience architect recommendations for family travel with children"

Advanced Usage

  • "I need comprehensive slow travel experience architect for business travel to multiple countries"
  • "Create detailed slow travel experience architect plan for extended travel with specific experience requirements"
  • "Provide slow travel experience architect framework with risk assessment and contingency planning"

Acceptance Criteria

Functional Requirements

  1. ✅ Returns structured JSON output with proper formatting
  2. ✅ Includes actionable travel recommendations based on input analysis
  3. ✅ Provides relevant travel planning frameworks and templates
  4. ✅ Demonstrates input-based differentiation (different inputs → different outputs)
  5. ✅ Covers all specified modules: Pace and rhythm design, Local integration strategies, Meaningful connection frameworks, Personal growth integration

Non-Functional Requirements

  1. ✅ No code execution, external APIs, or network requests
  2. ✅ Pure descriptive analysis only
  3. ✅ Clear safety disclaimers present
  4. ✅ File count ≤ 10
  5. ✅ English documentation primary

Quality Requirements

  1. ✅ Clear, actionable travel recommendations
  2. ✅ Input-based differentiation demonstrated
  3. ✅ Skill-specific logic implemented
  4. ✅ Test coverage for core functionality
  5. ✅ Documentation complete and accurate

Integration

This skill can be combined with:

  • Destination research skills
  • Budget planning skills
  • Packing and preparation skills
  • Cultural awareness skills
  • Other tourism planning skills

Version History

  • 1.0.0 (2026-04-20): Initial release - P1 batch development

- Added .claw/identity.json - Completed SKILL.md documentation - Fixed review blocking issues

Technical Details

Handler Interface

  • Standard OpenClaw handler: handle(user_input: str) -> str
  • Returns valid JSON with proper structure
  • Includes input_analysis based on user input
  • Contains comprehensive disclaimer

Test Coverage

  • JSON validation test
  • Disclaimer presence test
  • Input differentiation test
  • Skill-specific logic test

File Structure

  • SKILL.md - Complete documentation (this file)
  • handler.py - Main handler implementation
  • tests/test_handler.py - Unit tests
  • skill.json - Skill metadata
  • .claw/identity.json - Identity information

平台分布

OpenClaw

74.53%
按下载量换算777

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

调用外部服务

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。目前只有一个公开来源,建议同时核对源仓库。

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