3.5K skills · sorted by relevance
Review code for security, performance, quality, and maintainability. Get findings organized by severity, with file locations, explanations of impact, and example fixes, plus code metrics and complexity comparisons for refactoring reviews.
Design and improve Unity games that process large numbers of entities. Learn ECS, an approach that separates data from behavior, and apply Jobs and Burst patterns to organize parallel processing and address CPU performance bottlenecks.
Draft self-assessments, peer reviews, and feedback for managers using concrete examples of work and collaboration. Organizes achievements around context, actions, and results, matches your writing voice, and flags sections that need more evidence or detail.
Turn work history into clear accomplishment statements for performance reviews, promotion cases, and weekly updates. Use Copilot CLI sessions, git commits, and GitHub pull requests to connect each action with its result and supporting evidence.
Use TensorBoard to visualize training loss and accuracy, compare experiments, and inspect model structure. Includes PyTorch and TensorFlow logging examples for examining weight distributions, predictions, and performance bottlenecks during machine learning training.
Write, review, or refactor React code using prioritized guidance for data fetching, bundle size, rendering, component structure, testing, and type safety. Start with high-impact issues such as sequential requests and unnecessary library loading.
Analyze social media post data to calculate engagement, click rates, and estimated returns on advertising spend. Compare results with supplied platform benchmarks, identify strong and weak posts, and generate recommendations for improving campaign performance.
Refine a game feature or area through performance measurement, visual and audio polish, and stress and regression testing. Report before-and-after metrics, remaining issues, and release readiness, with work limited to the enabled team roles.
Investigate slow TPU training on GKE by comparing diagnostic events with one-minute monitoring metrics. Separate memory or CPU bottlenecks from hardware and network issues, and identify the appropriate next steps.
Measure scripts, running processes, or whole systems to find performance bottlenecks. Select suitable tools, add measurement code when needed, and report CPU, GPU, memory, and communication findings with prioritized recommendations and a record of file changes.
Improve GSAP animation performance by reviewing animated properties, browser layout work, and simultaneous updates. Use transforms, grouped updates, reusable animations, and targeted cleanup to reduce stuttering in lists, mouse followers, and scroll effects.
Use TensorBoard to visualize training loss and accuracy, compare experiments, and inspect model structure. Guides logging for PyTorch and TensorFlow, including weight distributions and performance profiling to investigate training problems and processing bottlenecks.
Create unit, integration, and E2E tests that check complete user flows, then identify coverage gaps and investigate unreliable results. The skill also supports performance and security test plans, with findings organized by severity and suggested fixes.
Build custom WordPress themes, plugins, and editor blocks, extend WooCommerce stores, and add REST API endpoints. The skill also guides input protection, permission checks, caching, and database query tuning to improve security and performance.
Build Angular 17+ applications with standalone components, routing, and shared application state. Covers reactive data handling with RxJS, performance improvements, and unit and integration tests, with code and explanations of architecture choices.
Build Go services and command-line tools with clear interfaces, explicit error handling, and concurrent tasks using goroutines and channels. Use pprof to investigate performance, then check behavior with benchmarks, structured test cases, fuzzing, and race detection.
Turn social media and content metrics into a concise report comparing engagement, reach, and growth across periods or platforms. Explain performance patterns, flag data quality issues, and propose three to five actions backed by the findings.
Review Pinterest Ads tracking, product catalogs, visual ads, audiences, and budgets. Get prioritized recommendations supported by account evidence, with missing information and unavailable features clearly identified so you can assess what needs attention.
Investigate slow rendering, uneven scrolling, and excessive updates in SwiftUI apps by reviewing code first. When needed, use runtime measurements to assess likely causes, prioritize fixes, and compare performance before and after changes.
Build iOS and Android apps with React Native and Expo. Get guidance and typed component code for navigation, lists, animations, storage, and platform differences, with attention to scrolling performance and testing on both platforms.
Investigate slow Apple apps, memory growth, launch delays, and battery drain using Instruments and Xcode diagnostics. Choose measurements for each symptom, identify the responsible code, and compare results before and after targeted fixes.
Diagnose and improve slow web interfaces by measuring loading, rendering, interactions, and animations. The skill addresses images, JavaScript bundles, page layout, and network requests, then compares before-and-after results to verify improvements across devices and connection speeds.
Review interface code for accessibility, performance, theme support, responsive behavior, and problematic patterns. Receive a scored report with code locations, user impact, severity levels, and prioritized recommendations to guide subsequent fixes.
Analyze trends and group performance in Excel data, clean percentage values, and calculate projections using growth rates assigned by performance tier. Produce comparison charts and a summary of current totals, projected totals, and growth.