performance-optimization
Application performance optimization and tuning
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Application performance optimization and tuning
Discover anomalies, outliers, or unexpected patterns without predefined expectations. Use when exploring data for irregularities, finding unusual behaviors, or detecting deviations from norms.
X(Twitter)の投稿URLから効率的にデータを抽出します。Playwrightを使用してheadlessモードで動作し、メモリ使用量とコンテキスト消費量を最小限に抑えます。
Automated E2E test failure classification and diagnosis workflow for Playwright tests. Triggers when user reports Playwright failures, E2E test errors, or requests test triage. Use for timeout, selector, networ...
Next.js Router performance analysis and bottleneck identification workflow. Triggers when user reports performance issues, slow routing, or requests Next.js optimization analysis. Use for identifying FCP/LCP/CL...
This skill should be used when the user asks to "review code", "check for anti-patterns", "audit my code", "find issues in code", "review this file", "check this component", or mentions code review, linting, or...
This skill should be used when the user asks to "analyze error handling", "review exception handling", "check error patterns", "audit error recovery", "review logging", "check error boundaries", or mentions err...
This skill should be used when the user asks to "analyze local-first patterns", "review offline support", "check sync implementation", "audit conflict resolution", "review optimistic updates", "check offline ca...
This skill should be used when the user asks to "analyze architecture", "review code structure", "check SOLID principles", "evaluate layering", "assess separation of concerns", "review module organization", or...
Healer monitoring expertise - detection patterns, API endpoints, dual-model architecture, and remediation workflows. Use when monitoring Play workflows or debugging agent failures.
Pack codebases into context-optimized formats for analysis and understanding.
Deep technical research using Firecrawl Agent for autonomous web investigation, competitive analysis, and implementation pattern discovery.
Query Prometheus metrics, Loki logs, and Grafana dashboards for diagnostics and incident response.
Patterns for testing local web applications using Playwright. Use when verifying frontend functionality, debugging UI behavior, capturing screenshots, or testing dynamic web apps. Provides decision tree for cho...
React and Next.js performance optimization guidelines. Use when writing, reviewing, or refactoring React/Next.js code. Applies to Blaze (web), Spark (desktop), and Tap (mobile) agents.
Semantic code research across GitHub repositories for finding implementations, patterns, and conducting PR/security reviews.
CTO observability stack expertise - Prometheus metrics, Loki logs, Grafana dashboards. Use when querying logs, metrics, or debugging via telemetry.
Systematic debugging expertise - 4-phase root cause process, evidence gathering, and hypothesis testing. Use when encountering any bug, test failure, or unexpected behavior before proposing fixes.
Implement advanced observability to capture concurrent rendering behavior and scheduling anomalies.
Conduct rigorous, statistically grounded performance profiling for large React applications.
Apply principled memoization techniques to reduce re-rendering without introducing correctness bugs.
Detect, isolate, and fix memory leaks in long-running React Single Page Applications.
Implement deep instrumentation pipelines for tracing, metrics, and real-user monitoring of React apps.
Deep dive into the React Compiler (formerly React Forget) to tune automatic memoization and optimization profiles.
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