decomposition-reconstruction

SKILL.md

Decomposition-reconstruction is a two-phase analytical technique: first, break a complex system into atomic components and understand their relationships; second, either recombine components in better configurations or identify critical elements that drive system behavior.

Reconstruction (bottleneck identification): Critical path: Database query (1.0s) + JS bundle (0.8s) = 1.8s of the 3.0s total Optimization target: Optimize DB query indexing and code-split JS bundle → Expected 1.5s page load

Ask user to describe the system (what are we analyzing), current problem or goal (what needs improvement, understanding, or redesign), boundaries (what's in scope vs out of scope), and success criteria (what would "better" look like). Clear boundaries prevent endless decomposition. See Scoping Questions for clarification prompts.

Use when dealing with complex systems that need simplification, identifying bottlenecks or critical failure points, redesigning architecture or processes for better performance, breaking down problems that feel overwhelming, analyzing dependencies to understand ripple effects, user mentions "this is too complex", "where's the bottleneck", "how do we redesign this", "what are the key components", or when optimization requires understanding how parts interact. Source: lyndonkl/claude.

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