structural-simplification

structural-simplification is a Structured reasoning & decision frameworks skill for AI agents, published by l-gevity in the l-gevity-skills repository on GitHub. Skillspace rates structural-simplification D (57/100) and it passed the safety scan; the rating is based on static analysis only.

A domain-agnostic complexity model and decision protocol. Complexity is treated as a 4-axis vector — D (diversity), K (coupling), P (depth), n (quantity) — and any proposed restructuring is judged by its per-axis effect rather than by intuition. Applies to code, project organization, runtime topology, data models, workflows, UI layouts, organizational structures, and temporal processes. TRIGGER when: evaluating a refactoring, designing a restructuring, or deciding whether a proposed change makes a system simpler or more complex. SKIP for: trivial renames, content edits, dependency bumps, isolated bug fixes that touch no structure. For module-level design discipline see `architecture-guidelines`; for spatial dependency-graph constraints see `geometric-architecture`.

Grade

D

Quality

57 / 100

Safety

Passed

GitHub stars

20

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