How do I install the Profiling Application Performance skill?

Run npx skillmds@latest add gabrielmoreira/profiling-application-performance in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Profiling Application Performance safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Profiling Application Performance?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Profiling Application Performance free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Profiling Application Performance?

gabrielmoreira (@gabrielmoreira) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Profiling Application Performance by gabrielmoreira

Name: Profiling Application Performance
Rating: 4.666666666666667 (3 reviews)
Author: gabrielmoreira

Profiling Application Performance

Execute this skill enables AI assistant to profile application performance, analyzing cpu usage, memory consumption, and execution time. it is triggered when the user requests performance analysis, bottleneck identification, or optimization recommendations. the... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.

gabrielmoreira Updated Sep 9, 2026 17 repo stars

File contents

Application Profiler

Profile application performance across Node.js, Python, and Java stacks by analyzing CPU usage, memory allocation, and execution hotspots to pinpoint optimization targets.

Overview

This skill empowers Claude to analyze application performance, pinpoint bottlenecks, and recommend optimizations. By leveraging the application-profiler plugin, it provides insights into CPU usage, memory allocation, and execution time, enabling targeted improvements.

How It Works

Identify Application Stack: Determines the application's technology (e.g., Node.js, Python, Java).
Locate Entry Points: Identifies main application entry points and critical execution paths.
Analyze Performance Metrics: Examines CPU usage, memory allocation, and execution time to detect bottlenecks.
Generate Profile: Compiles the analysis into a comprehensive performance profile, highlighting areas for optimization.

When to Use This Skill

This skill activates when you need to:

Analyze application performance for bottlenecks.
Identify CPU-intensive operations and memory leaks.
Optimize application execution time.

Examples

Example 1: Identifying Memory Leaks

User request: "Analyze my Node.js application for memory leaks."

The skill will:

Activate the application-profiler plugin.
Analyze the application's memory allocation patterns.
Generate a profile highlighting potential memory leaks.

Example 2: Optimizing CPU Usage

User request: "Profile my Python script and find the most CPU-intensive functions."

The skill will:

Activate the application-profiler plugin.
Analyze the script's CPU usage.
Generate a profile identifying the functions consuming the most CPU time.

Best Practices

Code Instrumentation: Ensure the application code is instrumented for accurate profiling.
Realistic Workloads: Use realistic workloads during profiling to simulate real-world scenarios.
Iterative Optimization: Apply optimizations iteratively and re-profile to measure improvements.

Integration

This skill can be used in conjunction with code editing plugins to implement the recommended optimizations directly within the application's source code. It can also integrate with monitoring tools to track performance improvements over time.

Prerequisites

Appropriate file access permissions
Required dependencies installed

Instructions

Invoke this skill when the trigger conditions are met
Provide necessary context and parameters
Review the generated output
Apply modifications as needed

Output

The skill produces structured output relevant to the task.

Error Handling

Invalid input: Prompts for correction
Missing dependencies: Lists required components
Permission errors: Suggests remediation steps

Resources

Project documentation
Related skills and commands

---name: profiling-application-performancedescription: Execute this skill enables AI assistant to profile application performance, analyzing cpu usage, memory consumption, and execution time. it is triggered when the user requests performance analysis, bottleneck identification, or optimization recommendations. the... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.license: MIT---# Application Profiler Profile application performance across Node.js, Python, and Java stacks by analyzing CPU usage, memory allocation, and execution hotspots to pinpoint optimization targets. ## Overview This skill empowers Claude to analyze application performance, pinpoint bottlenecks, and recommend optimizations. By leveraging the application-profiler plugin, it provides insights into CPU usage, memory allocation, and execution time, enabling targeted improvements. ## How It Works 1. **Identify Application Stack**: Determines the application's technology (e.g., Node.js, Python, Java). 2. **Locate Entry Points**: Identifies main application entry points and critical execution paths. 3. **Analyze Performance Metrics**: Examines CPU usage, memory allocation, and execution time to detect bottlenecks. 4. **Generate Profile**: Compiles the analysis into a comprehensive performance profile, highlighting areas for optimization. ## When to Use This Skill This skill activates when you need to: - Analyze application performance for bottlenecks. - Identify CPU-intensive operations and memory leaks. - Optimize application execution time. ## Examples ### Example 1: Identifying Memory Leaks User request: "Analyze my Node.js application for memory leaks." The skill will: 1. Activate the application-profiler plugin. 2. Analyze the application's memory allocation patterns. 3. Generate a profile highlighting potential memory leaks. ### Example 2: Optimizing CPU Usage User request: "Profile my Python script and find the most CPU-intensive functions." The skill will: 1. Activate the application-profiler plugin. 2. Analyze the script's CPU usage. 3. Generate a profile identifying the functions consuming the most CPU time. ## Best Practices - **Code Instrumentation**: Ensure the application code is instrumented for accurate profiling. - **Realistic Workloads**: Use realistic workloads during profiling to simulate real-world scenarios. - **Iterative Optimization**: Apply optimizations iteratively and re-profile to measure improvements. ## Integration This skill can be used in conjunction with code editing plugins to implement the recommended optimizations directly within the application's source code. It can also integrate with monitoring tools to track performance improvements over time. ## Prerequisites - Appropriate file access permissions - Required dependencies installed ## Instructions 1. Invoke this skill when the trigger conditions are met 2. Provide necessary context and parameters 3. Review the generated output 4. Apply modifications as needed ## Output The skill produces structured output relevant to the task. ## Error Handling - Invalid input: Prompts for correction - Missing dependencies: Lists required components - Permission errors: Suggests remediation steps ## Resources - Project documentation - Related skills and commands

Frequently asked questions