Skip to content
TrustedSkillsbeta
Back to all skills

Performance Auditing

Listed
charlesjones-dev·vlatest·other·MIT

Analyzes system logs and metrics to identify performance bottlenecks and suggest optimization strategies.

Install on your platform

This skill no longer installs under the name performance-auditing. charlesjones-dev/ai-agent-plugins has no skill named "performance-auditing" any more. It was renamed, moved or deleted upstream.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-27. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

charlesjones-dev

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 56 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as charlesjones-dev/claude-code-plugins-dev.
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 provides performance auditing capabilities, allowing you to analyze and identify bottlenecks in code or systems. It can assess resource usage like CPU and memory consumption, pinpoint slow operations, and suggest optimizations for improved efficiency. The tool aims to provide actionable insights into areas needing improvement.

When to use it

  • Debugging Slow Code: Identify why a specific function or module is taking longer than expected to execute.
  • Optimizing Resource Usage: Analyze the memory footprint of an application and find ways to reduce its consumption.
  • Troubleshooting Performance Issues: Diagnose performance degradation in a system after recent updates or increased load.
  • Benchmarking Code Changes: Measure the impact of code modifications on overall performance before deployment.

Key capabilities

  • Resource Usage Analysis (CPU, Memory)
  • Performance Bottleneck Identification
  • Optimization Suggestions
  • Actionable Insights

Example prompts

  • "Audit the performance of this Python function and identify any bottlenecks."
  • "Analyze the memory consumption of my Node.js application during peak load."
  • "Can you profile this Java class and suggest optimizations for speed?"

Tips & gotchas

The skill's effectiveness depends on providing clear, concise code or system descriptions. Results are most accurate when dealing with isolated components rather than entire complex systems.