prompt-plus-plus-mcp/metaprompts/ai_core_principles/time_capsule_test.json

Advanced MCP server with 44+ metaprompt strategies including AI Core Principles, Vibe Coding Rules, and metadata-driven intelligent selection

{
  "name": "Time Capsule Test",
  "description": "Projects decisions and implementations across multiple time horizons to assess durability, maintainability, and evolution. Prevents short-term thinking that creates long-term problems.",
  "template": "You are an AI assistant implementing the Time Capsule Test principle from the AI Core Critical Thinking Enhancement System. Your task is to evaluate decisions and solutions across multiple time horizons, revealing how they'll age and evolve.\n\nFollow this temporal analysis framework:\n\n1. **Time Horizon Projection**:\n   Analyze across timeframes:\n   - **Immediate** (0-3 months): Initial impact\n   - **Short-term** (3-12 months): Early evolution\n   - **Medium-term** (1-3 years): Maturity phase\n   - **Long-term** (3-5 years): Lasting effects\n   - **Legacy** (5+ years): Historical view\n\n2. **Aging Analysis**:\n   How the solution ages:\n   - **Technical Decay**: Technology obsolescence\n   - **Debt Accumulation**: Growing maintenance burden\n   - **Knowledge Erosion**: Team understanding loss\n   - **Assumption Drift**: Changing contexts\n   - **Integration Brittleness**: Connection degradation\n   - **Performance Degradation**: Efficiency decline\n\n3. **Evolution Scenarios**:\n   - **Best Case**: Optimal evolution path\n   - **Likely Case**: Probable progression\n   - **Worst Case**: Degradation scenario\n   - **Pivot Points**: When changes needed\n   - **Upgrade Paths**: How to evolve\n   - **Migration Needs**: Future transitions\n\n4. **Future Perspective Test**:\n   \"Looking back from [timeframe]...\"\n   - What will we wish we had done?\n   - What will seem obvious in hindsight?\n   - What will we regret?\n   - What will have mattered most?\n   - What will be irrelevant?\n\n5. **Maintenance Projection**:\n   - Who will maintain this?\n   - What knowledge is needed?\n   - How will context be preserved?\n   - What will break first?\n   - Where will pressure points emerge?\n   - When will replacement be needed?\n\n6. **Future-Proofing Assessment**:\n   - Flexibility for change\n   - Abstraction levels\n   - Extension points\n   - Documentation quality\n   - Reversibility options\n   - Graceful degradation\n\n7. **Legacy Impact**:\n   - Technical inheritance\n   - Cultural precedent\n   - Pattern establishment\n   - Constraint creation\n   - Opportunity enabling\n   - Debt legacy\n\nInitial prompt: [Insert initial prompt here]\n\nPlease provide your response in the following JSON format:\n\n<json>\n{\n  \"initial_prompt\": \"The original prompt provided\",\n  \"decision_context\": {\n    \"decision\": \"What's being decided\",\n    \"current_drivers\": [\"Immediate pressure 1\", \"Current need 2\"],\n    \"time_pressure\": \"Urgency level\",\n    \"reversibility\": \"How easy to change later\"\n  },\n  \"temporal_analysis\": [\n    {\n      \"timeframe\": \"Immediate/Short/Medium/Long/Legacy\",\n      \"state_projection\": \"How things will be\",\n      \"key_changes\": [\"What will be different\"],\n      \"pain_points\": [\"Problems that emerge\"],\n      \"opportunities\": [\"Benefits realized\"],\n      \"regret_risk\": \"High/Medium/Low\"\n    }\n  ],\n  \"aging_factors\": [\n    {\n      \"factor\": \"Technical/Debt/Knowledge/Assumption/Integration/Performance\",\n      \"degradation_rate\": \"How fast it decays\",\n      \"first_signs\": \"Early warning indicators\",\n      \"mitigation_possible\": \"Can we prevent/slow it?\",\n      \"replacement_trigger\": \"When to give up\"\n    }\n  ],\n  \"future_perspective_insights\": [\n    {\n      \"timeframe\": \"Looking back from when\",\n      \"hindsight_obvious\": \"What will be clear then\",\n      \"likely_regret\": \"What we'll wish we'd done\",\n      \"surprising_importance\": \"What matters more than expected\",\n      \"wasted_effort\": \"What won't matter\"\n    }\n  ],\n  \"maintenance_reality\": {\n    \"year_1_maintenance\": {\n      \"effort_hours\": \"Estimated time/month\",\n      \"skill_required\": \"Who can do it\",\n      \"typical_issues\": [\"Common problem\"]\n    },\n    \"year_3_maintenance\": {\n      \"effort_hours\": \"Estimated time/month\",\n      \"knowledge_loss\": \"What's forgotten\",\n      \"modernization_pressure\": \"Update needs\"\n    },\n    \"year_5_plus\": {\n      \"replacement_likelihood\": \"High/Medium/Low\",\n      \"migration_complexity\": \"If replaced, how hard\",\n      \"legacy_burden\": \"Ongoing cost\"\n    }\n  },\n  \"future_proofing_score\": {\n    \"adaptability\": \"1-10 rating\",\n    \"maintainability\": \"1-10 rating\",\n    \"replaceability\": \"1-10 rating\",\n    \"documentation\": \"1-10 rating\",\n    \"total_score\": \"Average rating\",\n    \"weak_points\": [\"Where it fails future test\"]\n  },\n  \"evolution_strategy\": [\n    {\n      \"phase\": \"Time period\",\n      \"planned_evolution\": \"How to adapt\",\n      \"trigger_conditions\": \"When to evolve\",\n      \"resource_needs\": \"What it takes\",\n      \"success_metrics\": \"How to measure\"\n    }\n  ],\n  \"alternative_comparison\": [\n    {\n      \"alternative\": \"Other option\",\n      \"immediate_cost\": \"Higher/Same/Lower\",\n      \"long_term_benefit\": \"Higher/Same/Lower\",\n      \"break_even_time\": \"When it pays off\",\n      \"future_flexibility\": \"Better/Same/Worse\"\n    }\n  ],\n  \"key_insights\": [\n    \"Major long-term risk identified\",\n    \"Hidden future benefit discovered\",\n    \"Critical evolution point revealed\"\n  ],\n  \"recommendation\": \"Decision guidance incorporating all time horizons\"\n}\n</json>",
  "examples": [
    "Should we use this cutting-edge framework?",
    "Quick fix now or proper refactor?",
    "Hire contractors or build internal team?",
    "Monolith or microservices for new project?"
  ]
}