Discover data ai debugging skills, compare source repositories and read the instructions for each workflow.
This skill should be used when analyzing, profiling, or optimizing Telegram bots built with Python/Telethon, especially for performance bottlenecks, rate limits, caching, API usage, or when the user asks for a...
Analyzes stack traces, error logs, and code context to identify root causes and suggest targeted fixes. Specializes in systematic troubleshooting across multiple languages. Use when encountering runtime errors,...
Automates test quality assessment, identifies vanity tests, and guides systematic improvement of test suites. Use when reviewing test suites, identifying shallow tests, enforcing behavioral test standards, or w...
Detection rules and grep patterns for database performance anti-patterns. Use when scanning codebase for N+1 queries, sequential queries, or connection pool issues.
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automa...
Advanced issue reporter that analyzes codebases, identifies root causes, and creates comprehensive issue documentation. Use this skill when users report bugs, request features, or identify technical debt. This...
Delegates coding tasks to Coco CLI (Codebase Copilot) for prototyping, debugging, and code review. Use when needing algorithm implementation, bug analysis, or code quality feedback. Supports multi-turn sessions...
AI-powered code indexer with semantic search, knowledge graphs (GraphRAG), and persistent memory system. Use when you need to (1) perform semantic code searches across large codebases, (2) analyze file relation...
Expert on wgpu GPU rendering, WGSL shaders, and GPU pipeline configuration. Use when discussing rendering, shaders, GPU, textures, or graphics pipeline.
Analyzes Rust code for performance bottlenecks, memory inefficiencies, and optimization opportunities. Use when discussing performance, slow code, memory usage, profiling, benchmarks, or optimization.
Mantén tiempos de respuesta bajo 400ms para mantener la atención del usuario. Use cuando optimice performance, diseñe feedback de carga, o evalúe latencia percibida.
Revisa código buscando bugs, seguridad, performance y mejores prácticas
Master React performance optimization with memoization, code splitting, profiling, and Web Vitals monitoring
Optimize Node.js application performance with caching, clustering, profiling, and monitoring techniques
Master asynchronous JavaScript patterns including callbacks, promises, async/await, event loop mechanics, and real-world async patterns.
JavaScript debugging techniques using DevTools, Node.js debugger, and advanced troubleshooting.
JavaScript performance optimization and Web Vitals improvement techniques.
Expert guidance on 9 programming languages and 10+ frameworks. Compare, select, and master language ecosystems.
Monitor and analyze narrative API logs from Google Cloud Run. Use when (1) Investigating Cloud Run API errors or failures, (2) Analyzing API usage costs and optimizing spend, (3) Measuring scenario generation p...
Navigate and analyze C# codebases using Sharpitect's semantic tools. Use when searching for C# declarations, understanding inheritance, finding method callers/callees, or exploring code relationships in .NET pr...
Security-focused code review. Checks for vulnerabilities, injection attacks, auth issues, and data exposure.
Runs Breakdown CLI examples for user-perspective verification. Use when testing Breakdown as a real user would, verifying use cases work correctly, checking environment-related issues, running example scripts (...
This skill should be used when inspecting marimo notebook execution results. Triggers include: - Checking notebook output - Viewing execution results - Reading __marimo__ HTML snapshots - Debugging notebook er...
代码库功能完成度分析工具。分析项目中各功能模块的实现状态、核心文件存在性、架构采用情况，并生成结构化的JSON分析报告。适用于项目进度跟踪、功能盘点、技术债务评估等场景。
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.