zenigame-fx-profile-optimize

You can automate the profiling loop by running a multi-phase orchestration that applies cProfile for data collection, performs bottleneck analysis, and iterates through design and implementation before re-profiling. It supports configurable run windows to manage the automated cycle.

FX profile bottleneck optimization detects performance constraints in FX workflows and iteratively improves them. This skill automates bottleneck analysis with stage-wise extrapolation to production scale, moving through design and implementation to re-profiling.

This skill is designed for single-process runs and includes specific guardrails to enforce that limitation. It requires Python-based profiling with cProfile and applies safe, auditable loops, making it unsuitable for multi-process profiling environments.

Start the optimization loop with default mode auto to begin profiling, bottleneck analysis, and iterative improvements. This initiates the end-to-end orchestration from data collection through design and implementation to re-profiling without manual configuration.

Yes, this skill applies to Alpha Factory style workflows by orchestrating the profile optimization loop from profiling through bottleneck analysis to design, implementation, and re-profiling across configurable run windows within that environment.

Limitations include single-process guardrails and dependency on Python-based cProfile. Users must manage configurable run windows carefully and rely on structured outputs for reporting and decision making to maintain a safe, auditable loop.