phykn
UserA rejection-driven workflow for turning unstable work into stable artifacts.
Categories
Indexed Skills (3)
loopy-compose
Use when AI-written or iteratively grown code works but has become fragmented, misplaced, poorly named, or organized around misleading files, folders, modules, symbols, or concept boundaries; applies the Loopy counterexample loop to recompose code structure while preserving behavior.
loopy-theory
Use when a project, product, workflow, codebase, or document set should be treated as imperfect evidence of a simpler underlying theory; infer the clearer principle that current implementation traces most strongly suggest, test it against gaps, and produce improvement candidates without directly changing implementation.
loopy
Use when a request benefits from repeated self-correction, counterexample-driven improvement, preserving what made the work matter, or continuing until all important in-scope counterexamples are resolved, blocked, or out of scope.
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