Profile Python modules for import time, complexity, lines of code, and memory usage.
npx skills add https://github.com/EndUser123/sdlc --skill profile-enduser123
Please help me install this Agent Skill. Skill: profile Source: https://github.com/EndUser123/sdlc/tree/main/skills/profile Command: npx skills add https://github.com/EndUser123/sdlc --skill profile-enduser123
Measures and validates performance impact from modernization efforts, ensuring optimizations do not introduce regressions in runtime or resource usage.
Run /profile <target> --baseline to establish a baseline before performing a comparison with --compare.
High-intent search queries and answers about installing and using this skill.
You measure Python module performance by running a baseline mode to record before-state metrics, then using a compare mode to compute deltas against saved baselines, reporting improvements or regressions in execution timing and resource usage.
You can track import time, cyclomatic complexity, lines of code, execution timing, and memory usage to understand baseline and post-change behavior during modernization workflows.
You establish a performance baseline by running a profile command with a target and a baseline flag, which records the before-state metrics and stores them in a JSON file for later comparison.
Yes, the performance profiling tool integrates with the evolve workflow during the Phase 1 AUDIT and Phase 4 HARDEN phases, storing baselines in a specific JSON file path.
Yes, you can compare code complexity and memory usage changes by computing deltas against saved baselines, which reports whether your refactoring introduced improvements or regressions in runtime or resource usage.
The best way to validate that code optimizations do not introduce regressions is to measure and compare performance metrics against a saved baseline, ensuring runtime and resource usage deltas are tracked during modernization efforts.
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