debug-tauri
Automates Tauri WebView debugging using official plugins (tauri-plugin-log + screenshots) with process verification, automated screenshots, console logs, and state analysis. Use when debugging Tauri apps, inves...
Discover data ai debugging skills, compare source repositories and read the instructions for each workflow.
Automates Tauri WebView debugging using official plugins (tauri-plugin-log + screenshots) with process verification, automated screenshots, console logs, and state analysis. Use when debugging Tauri apps, inves...
Full-repo debugging team workflow. Use for 'org run debug', 'org run debug list', or 'org run debug "pasted bug"' requests.
Single Ralph iteration with full visibility - learn before going AFK
WHAT: Performance hooks for TTR, TTI, and custom metrics with dual native + OTEL tracking. WHEN: measuring render time, tracking interactivity readiness, monitoring async operations. KEYWORDS: performance, TTR,...
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. Trigge...
Sagebaseのロギング規約とベストプラクティス。print文禁止、loggerの使用基準、ログレベルの使い分けをカバー。ログ出力を追加・修正する時、デバッグコードを書く時にアクティベートします。
MCP testing guidance and patterns. Loaded by /ops/test/mcp command or subagents for comprehensive Navigator MCP server testing.
Check machine performance and hardware specs
Review implementation quality and regression risks via claude-delegator (Code Reviewer expert). Use after implementation for complex tasks, refactors, or API changes.
Validate integration impact and regression risks via claude-delegator (Code Reviewer expert). Use for complex tasks or API integration.
Logs development sessions in real-time to track decisions and issues.
Deep knowledge about Ryan's open source projects (openpkg-ts, doccov, secondlayer). Use when users ask about these tools, their features, usage, or output.
Parallel CLI stress testing using orchestrated subagents. Spawns specialized agents to test different CLI domains simultaneously, aggregating results into structured reports. Supports discovery mode (agents ana...
Track data lineage และ provenance เพื่อเข้าใจ data flow, dependencies และ impact analysis
Comprehensive guide to CPU and memory profiling in Node.js and Python for identifying bottlenecks and optimizing performance
Comprehensive debugging strategies, tools, and techniques for efficiently identifying and fixing bugs across different environments.
Gates สำหรับตรวจจับ performance regression ผ่าน benchmarks, bundle size, และ load time monitoring
Dart static analysis and linting for aviation-grade code quality. Use when configuring analysis_options.yaml, enforcing strict type safety, creating custom lint rules, or setting up code metrics for Flutter pro...
React and Next.js performance optimization guidelines from Vercel Engineering. Use when writing, reviewing, or refactoring React/Next.js code.
Deep forensic debugging that never stops until root cause is found or visibility limit is proven. Use when user wants to understand exactly why something is broken, not work around it. Activates on "why is this...
Comprehensive React and Next.js performance optimization guide with 40+ rules for eliminating waterfalls, optimizing bundles, and improving rendering. Use when optimizing React apps, reviewing performance, or r...
Use before committing code or after major changes to verify performance. Catches expensive operations before they cause frame drops.
This skill should be used when dealing with "race conditions in tests", "Redis timing issues", "WebSocket connection timing", "async test failures", "flaky tests due to timing", "test synchronization problems",...
This skill should be used when the user asks to "debug this issue", "find the root cause", "investigate the bug", "systematic debugging", "troubleshoot the problem", or needs help with systematic problem-solvin...
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.