Travel Memory Preservation System
by @harrylabsj
Systematic approach to preserving travel memories
clawhub install travel-memory-preservation-systemπ About This Skill
name: Travel Memory Preservation System slug: travel-memory-preservation-system description: Systematic approach to preserving travel memories category: tourism type: descriptive language: en author: Golden Bean (OpenClaw) version: 1.0.0
Travel Memory Preservation System
Overview
Systematic approach to preserving and integrating travel memories meaningfully
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:
Primary Triggers
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:
Detailed Module Descriptions
Memory capture framework
Reflection and integration practices
Physical/digital preservation systems
Experience sharing strategies
Safety & Limitations
What This Skill Does
What This Skill Does NOT Do
Safety Boundaries
Example Prompts
Basic Usage
Intermediate Usage
Advanced Usage
Acceptance Criteria
Functional Requirements
1. β Returns structured JSON output with proper formatting 2. β Includes actionable travel recommendations based on input analysis 3. β Provides relevant travel planning frameworks and templates 4. β Demonstrates input-based differentiation (different inputs β different outputs) 5. β Covers all specified modules: Memory capture framework, Reflection and integration practices, Physical/digital preservation systems, Experience sharing strategiesNon-Functional Requirements
1. β No code execution, external APIs, or network requests 2. β Pure descriptive analysis only 3. β Clear safety disclaimers present 4. β File count β€ 10 5. β English documentation primaryQuality Requirements
1. β Clear, actionable travel recommendations 2. β Input-based differentiation demonstrated 3. β Skill-specific logic implemented 4. β Test coverage for core functionality 5. β Documentation complete and accurateIntegration
This skill can be combined with:
Version History
.claw/identity.json
- Completed SKILL.md documentation
- Fixed review blocking issuesTechnical Details
Handler Interface
handle(user_input: str) -> strinput_analysis based on user inputdisclaimerTest Coverage
File Structure
SKILL.md - Complete documentation (this file)handler.py - Main handler implementationtests/test_handler.py - Unit testsskill.json - Skill metadata.claw/identity.json - Identity information