profiling-application-performance

Quick Review

The skill provides a clear structure and overview of application profiling capabilities across multiple technology stacks. However, it lacks concrete implementation details and actionable steps. The description mentions an 'application-profiler plugin' but provides no details on how to invoke it, what commands to run, or what specific profiling tools to use for different stacks (e.g., py-spy for Python, clinic.js for Node.js). The 'How It Works' section describes what should happen but not how to accomplish it. For a CLI agent to execute this skill, it would need explicit bash commands, profiling tool invocations, and output parsing logic. The novelty is moderate—while profiling does require domain knowledge, the skill as written doesn't provide enough specific guidance to meaningfully reduce token usage compared to a general-purpose AI solving profiling requests ad-hoc. To improve: add concrete profiling commands per language/stack, specify tool installation steps, include output interpretation guidelines, and provide scripts or command templates.