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Exhaustively explores problem spaces using the MIT Synthetic Neurobiology tiling tree method for MECE decompositions.
Implements a recursive partitioning method to explore a problem space exhaustively. It breaks a complex problem into Mutually Exclusive and Collectively Exhaustive (MECE) subsets, effectively 'tiling' the solution space to ensure no potential approach is overlooked.
Use this when you need to map all possible ways to solve a problem, avoid binary thinking traps, or conduct a comprehensive brainstorming session where structural completeness is required.
tiling_tree.py orchestrator that manages parallel subagent calls for splitting and final evaluation.Designed for Claude-based agents capable of orchestrating parallel sub-agents.
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Bookmarklet Creation
Generate production-ready JavaScript bookmarklets (javascript:...) with required IIFE wrapper, block comments, installation links, and testing guidance.
Mojo Development Environment
Setup and execute Mojo code within Claude.ai containers, including installation, compilation, and performance benchmarking.