when-analyzing-user-intent-use-intent-analyzer

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Advanced intent interpretation system using cognitive science principles and probabilistic intent mapping

AI & Automation 335 stars 29 forks Updated today

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Skill Content

# Intent Analyzer - Advanced User Intent Interpretation ## Overview Advanced intent interpretation system that analyzes user requests using cognitive science principles and extrapolates logical volition. Use when user requests are ambiguous, when deeper understanding would improve response quality, or when helping users clarify what they truly need. ## When to Use This Skill - User request is vague or ambiguous - Multiple interpretations are possible - High-stakes decision requires clarity - User may not know exactly what they need - Complex requirements need decomposition - Implicit assumptions need surfacing ## Theoretical Foundation ### Cognitive Science Principles 1. **Probabilistic Intent Mapping**: Assign likelihood scores to possible interpretations 2. **First Principles Decomposition**: Break complex requests into fundamental components 3. **Socratic Clarification**: Ask targeted questions to narrow possibilities 4. **Context Integration**: Leverage environment and history for disambiguation 5. **Volition Extrapolation**: Infer underlying goals beyond stated request ### Evidence-Based Patterns - **Self-Consistency**: Generate multiple interpretations and find consensus - **Chain-of-Thought**: Trace reasoning from input to understanding - **Program-of-Thought**: Structure analysis as executable logic - **Plan-and-Solve**: Decompose understanding into steps ## Phase 1: Capture User Input ### Objective Gather complete user request with full context ### Agent ...

Details

Author
aiskillstore
Repository
aiskillstore/marketplace
Created
5 months ago
Last Updated
today
Language
Python
License
None

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Advanced intent interpretation system that analyzes user requests using cognitive science principles and extrapolates logical volition. Use when user requests are ambiguous, when deeper understanding would improve response quality, or when helping users clarify what they truly need. Applies probabilistic intent mapping, first principles decomposition, and Socratic clarification to transform vague requests into well-understood goals.

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