cuda-debugging
Expert skill for GPU debugging using CUDA-GDB and NVIDIA Compute Sanitizer. Detect memory errors, race conditions, uninitialized memory access, validate atomic operations, analyze kernel synchronization issues,...
Discover research debugging skills, compare source repositories and read the instructions for each workflow.
Expert skill for GPU debugging using CUDA-GDB and NVIDIA Compute Sanitizer. Detect memory errors, race conditions, uninitialized memory access, validate atomic operations, analyze kernel synchronization issues,...
Detect explicit user_id parameters in functions to identify potential opportunities for using ambient context. This is an investigation tool that flags instances for human review, not a prescriptive analyzer.
A software security skill that integrates with Project CodeGuard to help AI coding agents write secure code and prevent common vulnerabilities. Use this skill when writing, reviewing, or modifying code to ensur...
Identifies and fixes Rails performance issues including N+1 queries, slow queries, and memory problems. Use when optimizing queries, fixing N+1 issues, improving response times, or when user mentions performanc...
跨站脚本漏洞检测与利用。当目标存在用户输入反射、评论功能、搜索框、URL 参数显示时使用。包括反射型、存储型、DOM XSS。
Web 应用信息收集与侦察。当开始渗透测试、需要了解目标架构、发现攻击面时使用。包括目录扫描、端口扫描、指纹识别。
远程代码执行漏洞检测与利用。当目标存在命令执行、代码执行、反序列化、模板注入、文件上传时使用。
Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.
Performs comprehensive codebase analysis covering architecture, code quality, security, performance, testing, and maintainability. Use when user wants to audit code quality, identify technical debt, find securi...
Analyzes your Claude Code conversation history to identify patterns, common mistakes, and opportunities for workflow improvement. Use when user wants to understand usage patterns, optimize workflow, identify au...
Decision rules for when to use MCP Qdrant-Indexer semantic search vs grep/literal file tools. Use this skill when starting exploration, debugging, or answering "where/why" questions about code.
Streamlined code review for rapid assessment and targeted feedback
Expertise in conducting technical research on codebase tasks and documentation. Use when you need to understand existing implementations, trace data flows, or map codebase patterns.
This skill should be used when the user asks to "validate a plugin", "optimize plugin", "check plugin quality", "review plugin structure", "find plugin issues", "check best practices", "analyze plugin", or ment...
Control Chrome browser via CLI for testing, automation, and debugging. Use when the user needs browser automation, screenshots, form filling, page inspection, network/CPU emulation, DevTools streaming, or AI qu...
Guide for debugging GitHub Agentic Workflows - analyzing logs, auditing runs, and troubleshooting issues
Resolve common penetration testing issues in Ark. Use when fixing security vulnerabilities from pentest reports, security audits, or OWASP Top 10 issues.
Use when working with sources, understanding event capture, or learning about the push interface. Covers browser, dataLayer, and server source patterns.
Analyzes existing codebases to understand structure, patterns, and technical debt
Monitors context complexity and triggers state dumps before quality degrades
Systematic debugging with persistent state and fresh context advantages
This skill should be used when writing test cases, fixing bugs, analyzing code for potential issues, or improving test coverage for JavaScript/TypeScript applications. Use this for unit tests, integration tests...
Use when conducting security audits, reviewing code for vulnerabilities, or analyzing infrastructure security. Invoke for SAST scans, penetration testing, DevSecOps practices, cloud security reviews.
Use when reviewing pull requests, conducting code quality audits, or identifying security vulnerabilities. Invoke for PR reviews, code quality checks, refactoring suggestions.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.