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Designs meaningful slow travel experiences
--- 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: "1.1.0" tags: slow-travel, experience-design, meaningful-travel, immersive-travel, itinerary-planning --- # 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 3. **Framework Application**: Skill applies relevant travel planning frameworks and templates 4. **Recommendation Generation**: Skill generates structured, actionable recommendations 5. **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 ## Usage Scenarios ### Scenario 1 **User input:** "Design a 30-day slow travel experience through Portugal by train. Not just sightseeing — I want to feel like I lived there." **Expected output:** Pod-based itinerary — 3 towns, 10 days each — with neighborhood-living setup (local market shopping, café-as-office, language-exchange meetups), deep-dive themes (azulejo art, port wine, fado music), and 'resident-for-a-week' immersion activities. ### Scenario 2 **User input:** "I have 2 weeks but want a slow travel experience in Japan. What's realistic?" **Expected output:** Single-region focus recommendation (Kansai: Kyoto + Nara + rural Uji) with 4-5 day stays per location, morning rituals (temple meditation, tea ceremony), afternoon explorations (craft workshops, countryside walks), and no-transfer-day buffer built into schedule. ### Scenario 3 **User input:** "Convert my usual checklist-style itinerary into a slow-travel version for Tuscany." **Expected output:** Before/after transformation — from '7 towns in 5 days' to '2 towns in 7 days' with fewer destinations, deeper experiences (olive harvest participation, nonna cooking mentorship, village festival attendance), and spaciousness principles applied throughout. ### Scenario 4: 慢游大理 **User input:** "不想走马观花去旅游,想去大理待一个月,过一下'有风的地方'那种慢生活,怎么安排好?" **Expected output:** 设计大理慢生活月计划:第一周——住古城民宿,每天睡到自然醒,逛古城菜市场买菜做饭,傍晚去人民路听民谣;第二周——移居到喜洲古镇,学扎染、逛稻田、喝咖啡发呆;第三周——搬到洱海东岸的双廊,骑车环海、每天换个角度看苍山;第四周——回大理或去沙溪古镇,整理这一个月的感悟。预算建议:民宿月租约2000-4000元(比日租省60%),餐饮月均1500-2000元。推荐关注大理的'集市日历'(如柴米多集市、床单厂集市)。 ## 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
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