Découvrez les skills data ai debugging, comparez leurs dépôts et consultez leurs instructions.
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or...
Use this skill when the user asks about Rust module dependencies, dependency graphs, architecture visualization, cycle detection, DAG analysis, or module structure. Activate when you see phrases like "show modu...
Analyzes your recent Claude Code and OpenCode chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends...
Profile datasets to understand schema, quality, and characteristics. Use when analyzing data files (CSV, JSON, Parquet), discovering dataset properties, assessing data quality, or when user mentions data profil...
Add detailed comments explaining WHY code works, its context, edge cases, and performance implications. Use when user mentions "add comments", "document", "explain code", "improve readability", or "maintainabil...
Architecture review using "A Philosophy of Software Design" principles. Modes: red-flags, depth, complexity, fcis, performance, split, comments, naming, consistency, tactical, review.
Automate Splunk queries and analyze results using Chrome DevTools MCP. Use when the user wants to run Splunk searches, export log data, or analyze Splunk results. Triggers on requests like "check error rates",...
Expert performance optimization including profiling, bottleneck analysis, caching, and load testing
Expert codebase exploration including architecture analysis, pattern discovery, and navigation assistance
This skill should be used when the user asks to find and fix SwiftUI performance issues, optimize SwiftUI views, fix re-render problems, or analyze why their iOS/macOS app UI is slow. It handles the full workfl...
Reviews code for style, bugs, and best practices. Use when asked to review or analyze code quality.
Systematically analyze a codebase to understand its structure, purpose, technologies, and architecture. Use this skill when users ask to "analyze this project", "explain this codebase", "what does this project...
Use for project architecture, codebase structure, dependencies, components, tech stack. Explicit triggers: @map, map-ask, explore map, -map. Pre-computed maps faster than Glob for structural queries.
This skill should be used when creating token-efficient hook systems and MCP server architectures for web applications. Use for React/FastAPI, Django, Node.js projects that need smart caching, progressive conte...
This skill should be used when debugging full-stack issues that span UI, backend, and database layers. It provides a systematic workflow to detect errors, analyze root causes, apply fixes iteratively, and verif...
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...
Systems-level performance engineering for Rust, C/C++, and Python codebases. Use when profiling, debugging performance bottlenecks, analyzing CPU/memory usage, finding slow code paths, optimizing hot loops, inv...
This skill should be used when the user asks about "worker logs", "debug worker", "worker errors", "request analytics", "worker metrics", "performance monitoring", "error rate", "invocation logs", "troubleshoot...
デバッグの原則。仕様とログから範囲を絞り込む。
デバッグしやすいログの実装ガイド
Prevent and detect code quality issues in LangGraph pipelines. Use when implementing new nodes, debugging state flow issues, troubleshooting empty state keys, or before committing LangGraph code. Triggers on ph...
Analyze and visualize state flow in LangGraph pipelines. Use when debugging state mutations, tracing data flow between nodes, identifying orphan state keys, detecting read/write dependencies, or generating Merm...
AI agent that analyzes operational signals (metrics, logs, traces, alerts, SLO/SLI reports) from observability platforms (Prometheus, Datadog, New Relic, CloudWatch, Grafana, Elastic) and produces practical, ri...
Root cause analysis frameworks for debugging
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.