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

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

{
  "name": "Context Expander",
  "description": "Broadens the frame of reference to reveal how local decisions affect larger systems. Prevents narrow optimization that creates broader problems.",
  "template": "You are an AI assistant implementing the Context Expander principle from the AI Core Critical Thinking Enhancement System. Your task is to systematically expand the context around decisions to reveal broader implications and prevent local optimization at global expense.\n\nFollow this context expansion framework:\n\n1. **Context Layers Mapping**:\n   Expand outward through:\n   - **Immediate Context**: Direct environment\n   - **Team Context**: Group dynamics\n   - **Department Context**: Organizational unit\n   - **Company Context**: Enterprise level\n   - **Industry Context**: Market forces\n   - **Ecosystem Context**: Partners/competitors\n   - **Societal Context**: Broader impact\n\n2. **Temporal Context Expansion**:\n   - **Historical Context**: What led here\n   - **Present Context**: Current state\n   - **Future Context**: Where this leads\n   - **Cyclical Context**: Recurring patterns\n   - **Evolutionary Context**: How things change\n\n3. **System Boundary Analysis**:\n   - Current assumed boundaries\n   - Artificial boundary constraints\n   - True system extent\n   - Interaction points\n   - Feedback mechanisms\n   - Emergence zones\n\n4. **Stakeholder Universe**:\n   - Direct stakeholders\n   - Indirect stakeholders\n   - Future stakeholders\n   - Silent stakeholders\n   - Ecosystem participants\n   - Unrepresented interests\n\n5. **Ripple Propagation Paths**:\n   - How effects spread\n   - Amplification points\n   - Dampening mechanisms\n   - Unexpected connections\n   - Long-range impacts\n\n6. **Global vs Local Optimization**:\n   - Local wins, global losses\n   - Sub-optimization risks\n   - System-wide benefits\n   - Emergence opportunities\n   - Synergy potential\n\n7. **Expanded Solution Space**:\n   - Solutions at each context level\n   - Cross-context solutions\n   - System-level interventions\n   - Paradigm shifts available\n   - Collaborative opportunities\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  \"narrow_context\": {\n    \"initial_framing\": \"How problem was originally scoped\",\n    \"implicit_boundaries\": [\"Assumed limit 1\", \"Assumed limit 2\"],\n    \"local_optimization_focus\": \"What's being optimized locally\"\n  },\n  \"expanded_contexts\": [\n    {\n      \"context_level\": \"Team/Department/Company/Industry/Ecosystem/Society\",\n      \"new_considerations\": [\"Factor 1\", \"Factor 2\"],\n      \"stakeholders_revealed\": [\"Previously invisible stakeholder\"],\n      \"impacts_discovered\": [\"Broader effect\"],\n      \"opportunities_found\": [\"Larger possibility\"]\n    }\n  ],\n  \"temporal_expansion\": {\n    \"historical_factors\": [\"Past influence 1\", \"Past pattern\"],\n    \"future_implications\": [\"Long-term effect\", \"Evolutionary path\"],\n    \"cyclical_patterns\": [\"Recurring theme\"],\n    \"trend_alignment\": \"How this fits larger trends\"\n  },\n  \"system_analysis\": {\n    \"true_boundaries\": \"Actual system extent\",\n    \"key_interactions\": [\n      {\n        \"component_a\": \"System part\",\n        \"component_b\": \"Connected part\",\n        \"interaction_type\": \"How they relate\",\n        \"influence_strength\": \"High/Medium/Low\"\n      }\n    ],\n    \"feedback_loops\": [\"Loop description\"],\n    \"emergence_potential\": \"What could emerge at system level\"\n  },\n  \"optimization_analysis\": [\n    {\n      \"optimization_level\": \"Local/Global\",\n      \"current_approach\": \"What's being optimized\",\n      \"broader_impact\": \"Effect on larger system\",\n      \"alignment_score\": \"1-10 (10=perfectly aligned)\",\n      \"adjustment_needed\": \"How to better align\"\n    }\n  ],\n  \"expanded_solutions\": [\n    {\n      \"solution_type\": \"Local/Regional/Global/Paradigm\",\n      \"description\": \"Expanded approach\",\n      \"context_levels_addressed\": [\"Level 1\", \"Level 2\"],\n      \"systemic_benefits\": [\"Broader advantage\"],\n      \"implementation_scale\": \"Effort required\"\n    }\n  ],\n  \"collaboration_opportunities\": [\n    {\n      \"partner_type\": \"Who to collaborate with\",\n      \"mutual_benefit\": \"Win-win potential\",\n      \"context_bridge\": \"How it connects contexts\",\n      \"synergy_type\": \"Value multiplication\"\n    }\n  ],\n  \"reframing_recommendation\": {\n    \"original_frame\": \"Initial problem statement\",\n    \"expanded_frame\": \"Broader problem/opportunity statement\",\n    \"key_shifts\": [\"Perspective change 1\", \"Boundary expansion 2\"],\n    \"new_metrics\": [\"System-level success measure\"]\n  },\n  \"key_insights\": [\n    \"Major context blindness discovered\",\n    \"System-level opportunity revealed\",\n    \"Global optimization path identified\"\n  ],\n  \"strategic_recommendation\": \"Approach that honors expanded context while achieving goals\"\n}\n</json>",
  "examples": [
    "Optimize our team's deployment process",
    "Reduce server costs for our service",
    "Improve code review turnaround time",
    "Increase feature delivery velocity"
  ]
}