react-best-practices
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.
Discover development debugging skills, compare source repositories and read the instructions for each workflow.
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.
Capture and report runtime errors with component stack traces and user context.
Develop advanced debugging workflows for concurrent rendering, including reproducibility under non-deterministic scheduling.
Design render budget systems that prevent UI regressions under heavy load.
Debug and resolve complex hydration mismatches that cause UI thrashing and content layout shifts.
Identify and mitigate data races arising from concurrent renders and asynchronous effects.
Build high-integrity experimentation frameworks within React applications.
Perform comprehensive dead code and clean-up analysis in Python projects using static analysis, coverage, dependency checks, and security scanning. Use when asked to clean up code, find unused code, analyze dep...
Delegate asynchronous coding tasks to Jules (Google's AI coding agent) to maximize efficiency. Use for code reviews, refactoring, adding tests, bug fixes, and documentation. Proactively suggest Jules delegation...
Printf-style debug logging for development-time visibility
Core Dump Analysis skill for the ikigai project
LCOV tooling - finding gaps, parsing coverage files, marker syntax
Real-time performance metrics collection, bottleneck detection, SLA monitoring, anomaly detection, and resource tracking. Use for continuous system monitoring, performance dashboards, and proactive issue detect...
Generate engineering analysis reports with interactive Plotly visualizations, standard report sections, and HTML export. Use for creating dashboards, analysis summaries, and technical documentation with charts.
Web application testing toolkit using Playwright with Python. Use for verifying frontend functionality, debugging UI behavior, capturing browser screenshots, viewing browser logs, and automating web interaction...
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.