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Performance Regression Debugging

Checked
aj-geddes·vlatest·testing·MIT

Helps with performance optimization, debugging as part of testing, debugging, and quality assurance workflows.

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 aj-geddes/useful-ai-prompts --skill performance-regression-debugging -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

aj-geddes

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3f5182cfd7
Manifest
skills/performance-regression-debugging/SKILL.md
Scanned
7 files, 329 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to systematically analyze performance metrics to identify and isolate regressions in application speed or resource usage. It assists developers by comparing current execution data against established baselines to pinpoint specific bottlenecks causing slowdowns.

When to use it

  • Investigating unexpected latency spikes after deploying a new code update.
  • Diagnosing why database query times have increased compared to previous builds.
  • Verifying that recent infrastructure changes did not degrade API response rates.
  • Automating the initial triage of performance alerts generated by monitoring tools.

Key capabilities

  • Compares current performance metrics against historical baselines.
  • Identifies specific components or functions responsible for slowdowns.
  • Isolates variables to determine if regressions stem from code, configuration, or load changes.
  • Generates structured reports detailing the nature and magnitude of performance drops.

Example prompts

  • "Analyze the latest CI/CD build logs and compare them against the baseline to find any significant performance regressions."
  • "Identify which specific API endpoints are showing increased latency in the current deployment versus the previous version."
  • "Summarize the root cause of the 20% increase in memory usage detected during the last production run."

Tips & gotchas

Ensure you provide the AI agent with access to relevant performance logs, metrics dashboards, or test results before running this skill. Without baseline data for comparison, the agent cannot accurately determine if a regression has occurred.