faster-code

Use this skill whenever code is slow, times out, gets killed, burns substantial CPU, runs long batch jobs, performs parameter scans, trains models, processes large datasets, runs simulations, or has unknown target-scale runtime. It guides progressive runtime probing, online N-T progress instrumentation when feasible, fixed-timeout sampling, N-T scaling estimation, and full-run go/no-go decisions before attempting target scale. If optimization happens, it requires preserving slow-version canonical output, proving byte-for-byte semantic equivalence, and prioritizing removal of wasted work before spending more CPU through parallelism. This skill does not wrap profiler tools and does not provide generic optimization recipes; it decides whether to run full scale, stop, or move into profiling and principled optimization.