MCP Prompts Server

{
  "prompts": [
    {
      "id": "analysis-assistant",
      "name": "Analysis Assistant",
      "description": "You are a data analysis and transformation assistant that can parse and extract organized JSON data,...",
      "content": "You are a data analysis and transformation assistant that can parse and extract organized JSON data, provided by User, any text input, identifying keys, values, and the hierarchical structure of the data.",
      "category": "analysis",
      "tags": ["analysis", "insights", "ai-assistant"],
      "variables": [],
      "metadata": {
        "version": 1
      }
    },
    {
      "id": "architecture-design-assistant",
      "name": "Architecture Design Assistant",
      "description": "You are a talented language interpreter and a helpful software architecture design assistant thinkin...",
      "content": "You are a talented language interpreter and a helpful software architecture design assistant thinking in terms of hexagonal architecture, domain-driven design, and clean architecture principles. You excel at creating modular, scalable, and maintainable software systems.",
      "category": "architecture",
      "tags": ["architecture", "design", "programming", "ai-assistant"],
      "variables": [],
      "metadata": {
        "version": 1
      }
    },
    {
      "id": "clipboard-search-pattern-analyzer",
      "name": "clipboard-search-pattern-analyzer",
      "description": "Analyze clipboard search patterns to optimize retrieval and indexing strategies",
      "content": "# Clipboard Search Pattern Analysis\n\n## Search Metrics\n- Recent Searches: {{queries}}\n- Success Rate: {{searchSuccessRate}}%\n- User Frustrations: {{userFrustrations}}\n\n## Pattern Analysis Results\n\n### Query Type Distribution\nBased on recent searches, here's the breakdown:\n\n**Code Snippets**: {{countCodeSnippets queries}} queries\n- Languages: {{detectLanguages queries}}\n- Common patterns: function signatures, error messages, configuration blocks\n\n**URLs**: {{countUrls queries}} queries  \n- Domains: {{extractDomains queries}}\n- Context: documentation, repositories, issues\n\n**Text/Logs**: {{countTextLogs queries}} queries\n- Patterns: error messages, configuration values, API responses\n\n**JSON/XML**: {{countStructuredData queries}} queries\n- Use cases: API responses, configuration files, data exchange\n\n### Success Rate Analysis\n\n#### High Success Queries ({{searchSuccessRate}}%+)\n- **Characteristics**: Specific keywords, exact matches, recent content\n- **Common patterns**: Error messages with stack traces, specific function names\n- **Optimization opportunities**: Improve ranking for these patterns\n\n#### Low Success Queries (<{{searchSuccessRate}}%)\n- **Characteristics**: Vague terms, partial matches, old content\n- **Common issues**: Typos, incomplete context, outdated information\n- **Improvement areas**: Fuzzy matching, context expansion, content freshness\n\n### User Frustration Indicators\n\n#### Common Pain Points\n{{#each userFrustrations}}\n- **{{this.type}}**: {{this.description}}\n  - Frequency: {{this.frequency}}\n  - Impact: {{this.impact}}\n{{/each}}\n\n#### Frustration-Based Insights\n- **Search too slow**: {{hasFrustration userFrustrations \"slow\"}}\n- **Wrong results**: {{hasFrustration userFrustrations \"wrong-results\"}}\n- **Missing results**: {{hasFrustration userFrustrations \"missing\"}}\n- **Hard to find old content**: {{hasFrustration userFrustrations \"old-content\"}}\n\n## Optimization Recommendations\n\n### Indexing Strategy\n{{#if (gt (countCodeSnippets queries) 0.5)}}\n**Recommendation**: Implement language-specific indexing\n- Tokenize by language syntax (functions, classes, imports)\n- Add semantic understanding for code patterns\n{{/if}}\n\n{{#if (gt (countUrls queries) 0.3)}}\n**Recommendation**: URL-specific optimizations\n- Index by domain, path structure, and content type\n- Add favicon and title metadata for better identification\n{{/if}}\n\n{{#if (lt searchSuccessRate 0.7)}}\n**Recommendation**: Enhanced fuzzy matching\n- Implement typo tolerance\n- Add partial word matching\n- Consider phonetic matching for spoken queries\n{{/if}}\n\n### Search Algorithm Selection\n\n#### For Code-Heavy Usage\n```javascript\n// Recommended search strategy:\nconst searchConfig = {\n  tokenizer: 'code-aware',\n  ranking: ['exact-match', 'semantic-similarity', 'recent-first'],\n  filters: ['language', 'file-type', 'project']\n};\n```\n\n#### For Mixed Content\n```javascript\n// Balanced search strategy:\nconst searchConfig = {\n  tokenizer: 'universal',\n  ranking: ['relevance-score', 'recency', 'usage-frequency'],\n  filters: ['content-type', 'source-app', 'date-range']\n};\n```\n\n### Performance Optimizations\n\n#### Storage Strategy\n- **Small dataset (<1000 items)**: In-memory with simple indexing\n- **Medium dataset (1000-10000 items)**: SQLite with FTS (Full-Text Search)\n- **Large dataset (>10000 items)**: Specialized search engine or sharding\n\n#### Caching Strategy\n- **Frequently accessed items**: LRU cache with 24h TTL\n- **Search results**: Cache for 1h with query-based invalidation\n- **Metadata**: Cache indefinitely with content-based invalidation\n\n### User Experience Improvements\n\n#### Search Interface\n- **Progressive disclosure**: Basic search first, advanced filters on demand\n- **Context hints**: Show recent searches, popular categories\n- **Quick actions**: Copy, edit, delete directly from results\n\n#### Result Presentation\n- **Rich previews**: Syntax highlighting for code, formatted display for structured data\n- **Relevance indicators**: Show why each result matches\n- **Usage context**: When/where/how often each item was used\n\n## Implementation Priority\n\n### High Priority (Immediate Impact)\n1. Fix {{getTopFrustration userFrustrations}} - affects {{getTopFrustrationFrequency userFrustrations}}% of searches\n2. Implement {{getRecommendedAlgorithm queries searchSuccessRate}} search algorithm\n3. Add {{getRecommendedIndexing queries}} indexing strategy\n\n### Medium Priority (Quality of Life)\n1. Enhanced result previews for {{getTopContentType queries}}\n2. Quick actions for {{getTopUseCase queries}}\n3. Context-aware suggestions\n\n### Low Priority (Advanced Features)\n1. Cross-device synchronization\n2. Advanced filtering options\n3. Usage analytics and insights\n\n## Monitoring and Iteration\n\n### Key Metrics to Track\n- **Search success rate**: Target >85%\n- **Average search latency**: Target <200ms\n- **User satisfaction**: Measured through usage patterns\n- **Content freshness**: Percentage of searches finding recent content\n\n### Continuous Improvement\n- **Weekly analysis**: Review search patterns and success rates\n- **Monthly optimization**: Implement improvements based on data\n- **Quarterly overhaul**: Major algorithm or architecture changes\n\n### A/B Testing Framework\n```javascript\n// Example A/B test for search algorithms\nconst experiments = {\n  'fuzzy-matching': {\n    control: 'exact-match-only',\n    variant: 'typo-tolerant',\n    metric: 'success-rate',\n    duration: '2-weeks'\n  }\n};\n```\n\n## Next Steps\n\n1. **Implement high-priority optimizations** within 1 week\n2. **Deploy A/B testing framework** for gradual improvements\n3. **Set up automated monitoring** for key metrics\n4. **Schedule monthly reviews** of search patterns and user behavior\n\nThis analysis provides a foundation for significantly improving clipboard search effectiveness and user satisfaction.",
      "category": "cliphist",
      "tags": ["cliphist", "search", "optimization", "analysis", "user-experience"],
      "variables": ["queries", "searchSuccessRate", "userFrustrations"],
      "metadata": {
        "category": "cliphist",
        "variables": ["queries", "searchSuccessRate", "userFrustrations"],
        "version": 1
      }
    },
    {
      "id": "code-refactoring-assistant",
      "name": "Code Refactoring Assistant",
      "description": "You are a talented information interpreter and transformator and a helpful source code refactoring a...",
      "content": "You are a talented information interpreter and transformator and a helpful source code refactoring assistant. You excel at analyzing code patterns, identifying refactoring opportunities, and providing clean, maintainable code solutions.",
      "category": "development",
      "tags": ["refactoring", "programming", "optimization", "ai-assistant"],
      "variables": [],
      "metadata": {
        "version": 1
      }
    },
    {
      "id": "code-review-assistant",
      "name": "Code Review Assistant",
      "description": "A comprehensive template for reviewing code with best practices, security considerations, and improvement suggestions",
      "content": "You are an expert code review assistant that analyzes code for quality, security, performance, and maintainability. You provide actionable feedback and suggestions for improvement.",
      "category": "development",
      "tags": ["development", "code-review", "quality-assurance", "security"],
      "variables": [],
      "metadata": {
        "version": 1
      }
    }
  ]
}