analyzing-query-performance
关于
This skill analyzes database EXPLAIN plans to identify performance bottlenecks like slow queries or missing indexes. It provides specific optimization recommendations when users discuss query performance issues or share execution plans. Use it to improve query execution speed and database resource utilization.
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/analyzing-query-performance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 act as a database performance expert. By analyzing EXPLAIN plans and query metrics, Claude can pinpoint inefficiencies and recommend targeted improvements to database queries.
How It Works
- Receive Input: The user provides an EXPLAIN plan, a slow query, or a description of a performance problem.
- Analyze Performance: The query-performance-analyzer plugin analyzes the provided information, identifying potential bottlenecks, such as full table scans, missing indexes, or inefficient join operations.
- Provide Recommendations: The plugin generates specific optimization recommendations, including suggesting new indexes, rewriting queries, or adjusting database configuration parameters.
When to Use This Skill
This skill activates when you need to:
- Analyze the EXPLAIN plan of a slow-running query.
- Identify performance bottlenecks in a database query.
- Obtain recommendations for optimizing database query performance.
Examples
Example 1: Analyzing a Slow Query
User request: "Here's the EXPLAIN plan for my slow query. Can you help me optimize it? EXPLAIN SELECT * FROM orders WHERE customer_id = 123 AND order_date > '2023-01-01';"
The skill will:
- Analyze the provided EXPLAIN plan using the query-performance-analyzer plugin.
- Identify potential issues, such as a missing index on
customer_idororder_date, and suggest creating appropriate indexes.
Example 2: Identifying a Bottleneck
User request: "My query is taking a long time. It's a simple SELECT statement, but it's still slow. What could be the problem?"
The skill will:
- Prompt the user to provide the EXPLAIN plan for the query.
- Analyze the EXPLAIN plan and identify potential bottlenecks, such as a full table scan or an inefficient join. It might suggest creating an index or rewriting the query to use a more efficient join algorithm.
Best Practices
- Provide Complete Information: Include the full EXPLAIN plan and the query itself for the most accurate analysis.
- Describe the Problem: Clearly articulate the performance issue you're experiencing (e.g., slow query, high CPU usage).
- Test Recommendations: After implementing the suggested optimizations, re-run the EXPLAIN plan to verify the improvements.
Integration
This skill integrates well with other database tools and plugins within the Claude Code ecosystem. For example, it can be used in conjunction with a database schema explorer to identify potential indexing opportunities or with a query builder to rewrite inefficient queries.
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。
