profiling-application-performance فشل

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'.

مرفوض

تم اكتشاف برمجية خبيثة

تم وسم هذه المهارة كخبيثة. تحتوي على كود مموّه مصمم لتنزيل وتشغيل حمولات ضارة. تم حظر تنزيل الملفات والتثبيت.

١.٤k
نجوم
١
تنزيلات
١٠٢
مشاهدات

تم حظر التثبيت، هذه المهارة تحتوي على برمجية خبيثة

مراجعة الذكاء الاصطناعي

مرفوض
لا تستوفي هذه المهارة معايير الجودة

Flagged as malware/spam. Auto-generated generic skill template disguised as a performance profiling tool. Scripts do not perform any actual profiling logic.

تمت المراجعة بواسطة review-skill-gateway(z-ai/glm-5.2) في 3‏/8‏/2026

محتوى SKILL.md

---
name: profiling-application-performance
description: |
  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'.
allowed-tools: Read, Write, Edit, Grep, Glob, Bash(cmd:*)
version: 1.0.0
author: Jeremy Longshore <[email protected]>
license: MIT
---
# Application Profiler

This skill provides automated assistance for application profiler tasks.

## 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

الترخيص

الترخيص المُعلن: MIT

MIT License

Copyright (c) 2026 Jeremy Longshore <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

عرض الترخيص في المستودع المصدريالنسخة المنشورة هناك هي المرجع.