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name: reasoning-framework-selection description: Select and apply the optimal AI reasoning framework for any task triggers:

• "which framework"
• "best approach for"
• "how to think about"
• "reasoning strategy"

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Reasoning Framework Selection

Use this skill when deciding which of the 62 thinking frameworks to apply.

Framework Categories

Debugging & Root Cause

• active_inference - Hypothesis → Predict → Compare → Update loop
• mcts_rstar - Monte Carlo Tree Search for complex multi-step bugs
• reverse_cot - Work backward from wrong output to source

Architecture & Design

• reason_flux - Hierarchical: Template → Expand → Refine
• comparative_arch - Multiple approaches (readability/memory/speed)
• state_machine - FSM design before implementation

Optimization

• tree_of_thoughts - BFS/DFS exploration of solutions
• graph_of_thoughts - Non-linear with merge/aggregate

Quick Tasks

• system1 - Fast heuristic for trivial fixes
• skeleton_of_thought - Outline-first with parallel expansion

Selection Heuristics

1. Bug/Error? → active_inference or mcts_rstar
2. Architecture? → reason_flux or comparative_arch
3. Optimization? → tree_of_thoughts
4. Simple fix? → system1
5. Unknown domain? → self_discover