将JavaScript对象转换为URL查询字符串(key=value格式)并拼接到基础URL中。
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Coding standards, frameworks, refactoring, and code review (18.2K skills)
将JavaScript对象转换为URL查询字符串(key=value格式)并拼接到基础URL中。
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提供JavaScript代码,将字符串变量(如Vue3中的ingredients.value)中的所有中文逗号(,)替换为英文逗号(,),用于数据清洗或格式统一。
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将基于旧版Nest库(1.x)的C#代码迁移升级到新版Nest库(7.17.5),涵盖API变更、查询语法重构、Source过滤、聚合更新及MultiSearch逻辑重写。
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分析Java代码片段以判断特定变量(如URL、API接口)是否可控,通过追踪数据来源和流向评估安全风险。
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针对金融K线OHLC数据进行降维分析,包括数据预处理(变化率计算、标准化)、标准PCA降维以及基于随机化SVD的伪PCA降维的Python实现步骤。
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React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
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Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
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Use when completing tasks, implementing major features, or before merging to verify work meets requirements
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React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
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Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
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开发运行在Android 11上的C++程序,仿照logcat功能,通过NDK Android Logger API从logd读取日志。
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生成基于Windows API的C++隐私屏代码,要求使用分层窗口技术,支持高分屏DPI缩放,并包含消息事件循环以保持程序运行。
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Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
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Formats plain text or markdown files with frontmatter, titles, summaries, headings, bold, lists, and code blocks. Use when user asks to "format markdown", "beautify article", "add formatting", or improve article layout. Outputs to {filename}-formatted.md.
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Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
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Converts Markdown to styled HTML with WeChat-compatible themes. Supports code highlighting, math, PlantUML, footnotes, alerts, and infographics. Use when user asks for "markdown to html", "convert md to html", "md转html", or needs styled HTML output from markdown.
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Create, connect, list, and inspect MCP tunnel runtimes through the local tunnel-client plugin. Use when Codex needs to manage secure MCP tunnels with aliases and native tunnel-client runtime processes.
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Frontend tech-stack identification — JavaScript frameworks, meta-frameworks, CSS frameworks, UI libraries, build tools, and CMS via DOM, JS globals, HTML, and bundle patterns.
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OSINT-side tech-stack identification — public repositories (GitHub/GitLab), job postings & ATS, and Wayback Machine historical snapshots.
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Backend tech-stack identification — web servers, runtimes, languages, frameworks, databases, APIs, and CMS via HTTP headers, cookies, error pages, and API discovery.
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Domain assessment and web application mapping - subdomain discovery, port scanning, endpoint enumeration, API discovery, and attack surface analysis.
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Static and dynamic reverse engineering — ELF/PE analysis, custom-VM bytecode, packed binaries, anti-debug bypass, Frida hooking.
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