performance-regression-scan

Detect performance regressions and inefficient code paths in diffs and pull requests.

Updated Aug 23, 2026

Search Tags:#performance #caching #rendering #profiling #regression #code-review #io

Ready to run

npx skills add https://github.com/silvio-l/copilot-skills --skill performance-regression-scan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: performance-regression-scan
Source: https://github.com/silvio-l/copilot-skills/tree/main/performance-regression-scan
Command: npx skills add https://github.com/silvio-l/copilot-skills --skill performance-regression-scan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detects likely performance regressions and inefficient code paths introduced by changes to help teams avoid increased latency, wasted work, and resource pressure before deployment.

Core Features & Use Cases

Change-focused review: Inspect diffs and code paths for unnecessary repetitions, redundant I/O, and expensive mapping or serialization chains.
Runtime & UX risks: Flag too-frequent re-renders, recomputations, missing or incorrect caching, and blocking work in critical paths.
Actionable output: Produce prioritized locations, severity/likelihood assessments, recommended countermeasures, and measurement suggestions for verification.
Use Case: During a pull request review for a web app, identify newly introduced synchronous database calls on the UI thread, recommend async alternatives and caching, and suggest metrics to validate improvements.

Quick Start

Run a regression scan on the latest pull request to list affected paths, probable regressions, severity, and recommended fixes.

Frequently Asked Questions about performance-regression-scan

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

FAQPage Schema

How do I detect performance regressions introduced by code changes in a pull request?▼

Detect performance regressions in pull requests by scanning diffs for redundant I/O, excessive rendering, and blocking operations, receiving prioritized findings with severity assessments and recommended countermeasures for affected file paths.

What causes unnecessary re-renders and recomputations in frontend code paths?▼

Unnecessary re-renders and recomputations in frontend code paths are caused by missing or incorrect caching, triggering flaggable runtime and UX risks during a change-focused code review.

How do I find inefficient backend data pipelines with redundant I/O and expensive serialization?▼

Find inefficient backend data pipelines by inspecting code changes for redundant I/O, repeated traversals, and expensive mapping or serialization chains that waste work and increase resource pressure.

Can I scan targeted codepaths across frontend, backend, and data pipelines for blocking operations?▼

Yes, you can apply regression scans to targeted codepaths across frontend, backend, and data pipelines to identify blocking operations and synchronous calls on critical paths.

What is the best way to verify performance improvements after applying countermeasures to inefficient code?▼

Verify performance improvements by following the measurement recommendations provided alongside the prioritized findings, validating that applied countermeasures resolve the detected latency and resource pressure issues.