detecting-performance-bottlenecks
关于
This skill helps developers identify and fix performance bottlenecks in applications by analyzing CPU, memory, I/O, and database metrics. It uncovers root causes of slowdowns and suggests optimization strategies. Use it when prompted to "detect bottlenecks" or "analyze performance" for diagnosing or preventing issues.
快速安装
Claude Code
推荐/plugin add https://github.com/jeremylongshore/claude-code-plugins-plusgit clone https://github.com/jeremylongshore/claude-code-plugins-plus.git ~/.claude/skills/detecting-performance-bottlenecks在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
Overview
This skill empowers Claude to identify and address performance bottlenecks across different layers of an application. By pinpointing performance issues in CPU, memory, I/O, and database operations, it assists in optimizing resource utilization and improving overall application speed and responsiveness.
How It Works
- Architecture Analysis: Claude analyzes the application's architecture and data flow to understand potential bottlenecks.
- Bottleneck Identification: The plugin identifies bottlenecks across CPU, memory, I/O, database, lock contention, and resource exhaustion.
- Remediation Suggestions: Claude provides remediation strategies with code examples to resolve the identified bottlenecks.
When to Use This Skill
This skill activates when you need to:
- Diagnose slow application performance.
- Optimize resource usage (CPU, memory, I/O, database).
- Proactively prevent performance issues.
Examples
Example 1: Diagnosing Slow Database Queries
User request: "detect bottlenecks in my database queries"
The skill will:
- Analyze database query performance and identify slow-running queries.
- Suggest optimizations like indexing or query rewriting to improve database performance.
Example 2: Identifying Memory Leaks
User request: "analyze performance and find memory leaks"
The skill will:
- Profile memory usage patterns to identify potential memory leaks.
- Provide code examples and recommendations to fix the memory leaks.
Best Practices
- Comprehensive Analysis: Always analyze all potential bottleneck areas (CPU, memory, I/O, database) for a complete picture.
- Prioritize by Severity: Focus on addressing the most severe bottlenecks first for maximum impact.
- Test Thoroughly: After implementing remediation strategies, thoroughly test the application to ensure the bottlenecks are resolved and no new issues are introduced.
Integration
This skill can be used in conjunction with code generation plugins to automatically implement the suggested remediation strategies. It also integrates with monitoring and logging tools to provide real-time performance data.
GitHub 仓库
相关推荐技能
content-collections
元Content Collections 是一个 TypeScript 优先的构建工具,可将本地 Markdown/MDX 文件转换为类型安全的数据集合。它专为构建博客、文档站和内容密集型 Vite+React 应用而设计,提供基于 Zod 的自动模式验证。该工具涵盖从 Vite 插件配置、MDX 编译到生产环境部署的完整工作流。
sglang
元SGLang是一个专为LLM设计的高性能推理框架,特别适用于需要结构化输出的场景。它通过RadixAttention前缀缓存技术,在处理JSON、正则表达式、工具调用等具有重复前缀的复杂工作流时,能实现极速生成。如果你正在构建智能体或多轮对话系统,并追求远超vLLM的推理性能,SGLang是理想选择。
evaluating-llms-harness
测试该Skill通过60+个学术基准测试(如MMLU、GSM8K等)评估大语言模型质量,适用于模型对比、学术研究及训练进度追踪。它支持HuggingFace、vLLM和API接口,被EleutherAI等行业领先机构广泛采用。开发者可通过简单命令行快速对模型进行多任务批量评估。
langchain
元LangChain是一个用于构建LLM应用程序的框架,支持智能体、链和RAG应用开发。它提供多模型提供商支持、500+工具集成、记忆管理和向量检索等核心功能。开发者可用它快速构建聊天机器人、问答系统和自主代理,适用于从原型验证到生产部署的全流程。
