Query LIAM (Life Intelligence Augmentation Matrix) for scientific frameworks applicable to a decision, problem, or life question. Returns framework names, when to use them, key concepts, limitations, and a synthesis of how they apply. Use this to dynamically discover frameworks as they are added to the knowledge graph.
Query LIAM for scientific frameworks, mental models, and decision-making tools applicable to a problem or question.
Search for applicable frameworks using semantic search.
Parameters:
problem_description (required): Natural language problem descriptiondimension_id: Optional LIAM dimension filter (e.g., "habits", "decision_fatigue")category: Optional framework category filterlimit: Maximum frameworks to return (default: 5)use_context_bridge: Try Context Bridge first for semantic search (default: true)Via Context Bridge - finds frameworks based on meaning and applicability.
Direct PIC query with dimension or category filters.
User: Should I switch careers? Assistant: Invoking @query-frameworks problem_description="Should I switch careers?"
User: How do I build better habits? Assistant: Invoking @query-frameworks problem_description="How to build habits?", dimension_id=habits
User: Why is this project delayed? Assistant: Invoking @query-frameworks problem_description="Why is this delayed?", category=systems, limit=3
When multiple frameworks are returned, apply the Model Thinker methodology:
scripts/query_frameworks.py--json output