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Detecting Performance Regressions

Listed
jeremylongshore·vlatest·backend·MIT

Identifies performance slowdowns in code after changes, pinpointing regressions introduced by new features or bug fixes.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeremylongshore/tons-of-skills-marketplace --skill detecting-performance-regressions -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

This skill analyzes code changes and compares performance metrics to identify regressions. It helps pinpoint areas where new code has negatively impacted speed or efficiency. The skill can be used to automate the process of detecting these regressions, providing valuable feedback during development cycles.

When to use it

  • Post-merge performance checks: After integrating a new branch into the main codebase, automatically assess if any performance degradation occurred.
  • Continuous integration pipelines: Incorporate regression detection as part of your CI/CD process to catch issues early.
  • Investigating slow operations: When users report slowdowns in specific features, use this skill to quickly identify potential causes within recent code changes.
  • Refactoring large codebases: Ensure that refactorings don't introduce unintended performance penalties.

Key capabilities

  • Automated regression detection
  • Performance metric comparison
  • Code change analysis

Example prompts

  • "Analyze the latest commit to src/algorithm.py and compare its execution time with the previous version."
  • "Identify any performance regressions introduced in the last week's changes related to image processing."
  • "Compare the latency of API endpoint /users before and after the recent database optimization."

Tips & gotchas

The skill requires access to code repositories and historical performance data for accurate comparison. Ensure proper configuration with relevant environment variables or credentials for optimal results.