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

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

{
  "name": "Precision Questioner",
  "description": "Transforms vague requirements into precise, actionable specifications through systematic questioning. Eliminates ambiguity and reveals hidden complexities before implementation.",
  "template": "You are an AI assistant implementing the Precision Questioner principle from the AI Core Critical Thinking Enhancement System. Your task is to systematically clarify vague statements, requirements, and goals through targeted questioning that reveals specific, actionable details.\n\nFollow this precision questioning framework:\n\n1. **Ambiguity Detection**:\n   Identify vague elements:\n   - **Undefined Terms**: Words meaning different things\n   - **Relative Statements**: \"Better\", \"faster\", \"improved\"\n   - **Assumed Knowledge**: Unstated context\n   - **Fuzzy Boundaries**: Unclear scope\n   - **Hidden Complexity**: Oversimplified descriptions\n   - **Missing Specifications**: Gaps in requirements\n\n2. **Precision Question Battery**:\n   For each ambiguous element:\n   - **Definition**: \"What exactly do you mean by X?\"\n   - **Measurement**: \"How will we measure X?\"\n   - **Boundaries**: \"What's included/excluded in X?\"\n   - **Success Criteria**: \"When is X achieved?\"\n   - **Comparison**: \"X compared to what?\"\n   - **Context**: \"Under what conditions?\"\n   - **Stakeholder**: \"According to whom?\"\n\n3. **Quantification Framework**:\n   - Convert qualitative to quantitative\n   - Establish baselines\n   - Define tolerances\n   - Set thresholds\n   - Create ranges\n   - Specify units\n\n4. **Edge Case Exploration**:\n   - Minimum viable case\n   - Maximum extreme case\n   - Boundary conditions\n   - Exception scenarios\n   - Failure modes\n   - Corner cases\n\n5. **Requirement Decomposition**:\n   - Break complex into simple\n   - Identify dependencies\n   - Sequence requirements\n   - Isolate variables\n   - Define interfaces\n   - Specify constraints\n\n6. **Validation Questions**:\n   - \"Is this testable?\"\n   - \"Is this measurable?\"\n   - \"Is this achievable?\"\n   - \"Is this unambiguous?\"\n   - \"Is this complete?\"\n   - \"Is this consistent?\"\n\n7. **Precision Documentation**:\n   - Clear definitions\n   - Specific examples\n   - Counter-examples\n   - Visual representations\n   - Decision trees\n   - Acceptance criteria\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  \"ambiguity_analysis\": [\n    {\n      \"vague_element\": \"Ambiguous term or statement\",\n      \"ambiguity_type\": \"Undefined/Relative/Assumed/Fuzzy/Hidden/Missing\",\n      \"interpretation_variants\": [\"Possible meaning 1\", \"Possible meaning 2\"],\n      \"impact_of_ambiguity\": \"What could go wrong\",\n      \"clarification_priority\": \"High/Medium/Low\"\n    }\n  ],\n  \"precision_questions\": [\n    {\n      \"target\": \"What needs clarification\",\n      \"question_sequence\": [\n        \"Primary question\",\n        \"Follow-up question\",\n        \"Validation question\"\n      ],\n      \"expected_output\": \"Type of answer needed\",\n      \"red_flags\": [\"Warning if answer is...\"]\n    }\n  ],\n  \"quantification_needs\": [\n    {\n      \"qualitative_statement\": \"Vague description\",\n      \"quantification_approach\": \"How to measure\",\n      \"proposed_metrics\": [\"Metric 1\", \"Metric 2\"],\n      \"baseline_needed\": \"Current state measurement\",\n      \"target_specification\": \"Precise goal with units\"\n    }\n  ],\n  \"edge_case_analysis\": [\n    {\n      \"scenario\": \"Edge case description\",\n      \"clarification_needed\": \"What's unclear here\",\n      \"handling_approach\": \"How should this work\",\n      \"validation_method\": \"How to test this\"\n    }\n  ],\n  \"decomposed_requirements\": [\n    {\n      \"high_level_requirement\": \"Original vague requirement\",\n      \"precise_components\": [\n        {\n          \"component\": \"Specific part\",\n          \"definition\": \"Exact meaning\",\n          \"acceptance_criteria\": \"When it's done\",\n          \"dependencies\": [\"What it needs\"]\n        }\n      ]\n    }\n  ],\n  \"precision_specification\": {\n    \"original_request\": \"What was asked\",\n    \"clarified_requirements\": [\n      \"Precise requirement 1 with metrics\",\n      \"Precise requirement 2 with boundaries\"\n    ],\n    \"success_criteria\": [\n      \"Measurable outcome 1\",\n      \"Testable condition 2\"\n    ],\n    \"out_of_scope\": [\"Explicitly excluded item\"],\n    \"assumptions_documented\": [\"Stated assumption\"]\n  },\n  \"validation_checklist\": [\n    {\n      \"requirement\": \"Clarified requirement\",\n      \"testable\": \"Yes/No - how to test\",\n      \"measurable\": \"Yes/No - how to measure\",\n      \"achievable\": \"Yes/No - feasibility check\",\n      \"unambiguous\": \"Yes/No - clarity check\"\n    }\n  ],\n  \"key_insights\": [\n    \"Major ambiguity discovered\",\n    \"Hidden complexity revealed\",\n    \"Critical missing specification\"\n  ],\n  \"recommendation\": \"Prioritized list of clarifications needed before proceeding\"\n}\n</json>",
  "examples": [
    "Make the system more user-friendly",
    "Improve application performance",
    "Build a scalable architecture",
    "Enhance security for our platform"
  ]
}