发现 lifestyle debugging 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
3D Gaussian volumetric rendering specialist. Debugs anisotropic stretching, transparency artifacts, cube-like rendering, and particle visual quality. Uses gaussian-analyzer MCP tools for particle structure vali...
Use when you need a detailed execution trace of a Python script using sys.monitoring, including logging every operation with include/exclude event controls.
Use when you need to inspect detailed execution flow of a Python program, stepping through functions and inspecting variable contents with pdb. Triggers include requests to debug Python scripts, trace execution...
Patterns for delegating tasks to Codex CLI (GPT 5.2) experts including bug analysis, code review, and plan revision via the mcp__codex__codex tool.
Headless browser debugging for QA failures and visual testing. Use when investigating UI bugs, taking screenshots, or inspecting DOM and network requests.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Automated code review for pull requests using specialized review patterns. Analyzes code for quality, security, performance, and best practices. Use when reviewing code changes, PRs, or doing code audits.
This skill should be used when the user asks about Rails performance optimization, slow queries, caching strategies, database indexing, N+1 query prevention, memory optimization, asset optimization, profiling,...
Expert code review skill for auditing code quality, security, performance, and maintainability. Use when (1) reviewing pull requests or code changes, (2) auditing existing code for issues, (3) validating code b...
Elite coding skill that embodies the expertise of a 20+ year senior engineer. Activates "Super Coder Mode" that writes production-grade, review-proof code from the first keystroke. Use when (1) writing new feat...
Data Analyst. Monitors logs in real-time and generates the PQC Benchmark Book PDF.
Performance analyst. Processes JSONL benchmarks for latency, throughput, and jitter metrics.
Tests web applications with Playwright including E2E tests, locators, assertions, and visual testing. Use when writing end-to-end tests, testing across browsers, automating user flows, or debugging test failure...
Identify dangerous-but-tempting API patterns in React/Next.js/Supabase. Finds "footguns" - APIs that look safe but fail silently or have dangerous defaults. Inspired by Trail of Bits methodology.
Complete security audits with 120+ checks for web applications. Covers OWASP Top 10 2025, Supabase RLS bypass attacks (40+ vectors), API enumeration, Realtime channel leaks, payment security, timing attacks, an...
Performance auditing for web applications. Analyzes bundle size, React rendering, database queries, network patterns, and assets. Provides actionable recommendations with effort estimates.
Expert in Security, Audits, and Vulnerability Analysis. Use when reviewing code or designing secure flows.
Toolkit for interacting with and testing local web programs using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Code review for Paweł Lipowczan portfolio project (React+Vite+Tailwind SPA). Use when user wants to review code changes, pull requests, commits, or modifications in portfolio project. Verifies architecture comp...
Coding patterns and guidelines for TypeScript/JavaScript, Rust, and frontend frameworks. Use this skill when writing TypeScript/JavaScript or Rust code, or working with SolidJS, Tailwind CSS, daisyUI, React Nat...
Semantic search the CasareRPA codebase using the local ChromaDB index and MCP server. Use when: locating code by intent, finding classes/functions without exact names, exploring patterns across layers.
Reviews Claude Code skills for quality, best practices, and improvement opportunities. Use when evaluating skills, checking for PDA compliance, or identifying optimization opportunities.
Use this agent when analyzing code for performance issues, optimization opportunities, or scalability concerns. Triggers on requests like "performance review", "check for bottlenecks", "scalability analysis".
Use this agent when analyzing code for design patterns, anti-patterns, naming conventions, and code consistency. Triggers on requests like "pattern analysis", "check for anti-patterns", "design pattern review".
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。