profiler

Profile software to identify bottlenecks and guide data-driven optimizations.

Updated Feb 23, 2026

Search Tags:#testing #performance #optimization #profiling #instrumentation #benchmark #profile

Ready to run

npx skills add https://github.com/mcevoyinit/agentic-skills --skill profiler

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: profiler
Source: https://github.com/mcevoyinit/agentic-skills/tree/main/skills/coding-modes/profiler
Command: npx skills add https://github.com/mcevoyinit/agentic-skills --skill profiler

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reduce wasteful optimization by requiring data-driven profiling before changes, ensuring performance work is justified and measurable.

Core Features & Use Cases

Instrumentation and baselining to identify bottlenecks in code paths and databases.
Guided optimization workflow that changes one variable at a time and validates correctness.
Use Case: profile a slow API endpoint, run a targeted improvement, and verify results with benchmarks.

Quick Start

Instrument your codebase to gather baseline metrics, then run a controlled optimization with a clear measurement plan.

Frequently Asked Questions about profiler

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I identify performance bottlenecks in a slow API endpoint?▼

To identify performance bottlenecks in a slow API endpoint, you need data-driven profiling through code instrumentation. This measures latency and resource usage to establish baselines, pinpointing exact bottlenecks before any optimization changes are made.

What is the best way to measure latency and throughput for batch jobs?▼

The best way to measure latency and throughput for batch jobs is by applying instrumentation to gather baseline metrics. Data-driven profiling then analyzes these measurements to identify resource usage bottlenecks and guide optimizations.

How do I profile software to ensure optimizations are data-driven?▼

You profile software to ensure optimizations are data-driven by first establishing baselines through instrumentation. Measuring resource usage and latency provides the proof required to justify changes and avoid wasteful optimization.

Can I use profiling to verify that code changes do not break existing behavior?▼

Yes, you can use profiling to verify behavior by running regression-safe verification alongside your benchmarks. This ensures that your guided optimizations maintain correctness while improving performance metrics.

Why do I need a baseline before starting performance optimization?▼

You need a baseline before performance optimization to measure latency and resource usage accurately. Baselines provide the data-driven proof required to guide changes, ensuring your optimization work is justified and measurable.