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Found 2,362 Skills
Principal backend engineering intelligence for Python AI/ML systems. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale ML services and pipelines. Focus: data quality, reproducibility, reliability, performance, security, observability, model evaluation, MLOps.
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.
Best practices for React Native and Expo applications. Covers list performance, animations with Reanimated, navigation, UI patterns, and monorepo configuration. Use when building, reviewing, or optimizing React Native / Expo apps.
Use when measuring webinar funnel performance and diagnosing audience behavior.
Conversion funnel analysis with drop-off investigation. Use when analyzing multi-step processes, identifying conversion bottlenecks, A/B testing funnel performance, or optimizing user journeys.
Apply cognitive science and HCI research to design decisions. Use when you need the scientific 'why' behind usability, explaining user behavior, understanding perception/memory/attention limits, evaluating cognitive load, assessing mental model alignment, predicting performance with Fitts's/Hick's Law, or grounding interface decisions in research rather than opinion.
Use when implementing CQRS pattern, separating read and write models, optimizing query performance, or asking about "CQRS", "Command Query Responsibility Segregation", "read model", "write model", "command bus", "query bus"
Analyze data structures, define metrics, KPIs, and reporting requirements for business dashboards and analytics systems. Use when McKinzie needs to understand what data to track, how to measure performance, or what should be displayed on dashboards across her content sites, Etsy shops, and business portfolio.
Optimize deep learning models using Adam, SGD, and learning rate scheduling to improve accuracy and reduce training time. Use when asked to "optimize deep learning model" or "improve model performance". Trigger with phrases like 'optimize', 'performance', or 'speed up'.
Use when designing or building modern web applications in JavaScript/TypeScript (SPA/SSR/SSG/ISR/RSC): architecture trade-offs, state/data patterns, performance, testing, delivery, and team scaling.
Network Latency Tester - Auto-activating skill for Performance Testing. Triggers on: network latency tester, network latency tester Part of the Performance Testing skill category.
React Native Reanimated 4.x best practices, 60fps animation patterns, bug fixing, and code enhancement for Android and iOS. Use when writing, reviewing, fixing, or optimizing Reanimated animation code, gesture-driven interactions, worklets, layout animations, or shared element transitions. Triggers on tasks involving react-native-reanimated, useSharedValue, useAnimatedStyle, withSpring, withTiming, withDecay, Gesture.Pan, layout animations, worklet debugging, animation performance optimization, or troubleshooting janky animations. Also use when the user wants to fix animation bugs, enhance animation smoothness, review gesture code, or achieve 60fps on both Android and iOS. Also triggers when the user asks to review, audit, check, or upgrade their Reanimated code to best practices, or asks "is my animation code good", "check my reanimated code", "update to best practices", "review my animations", or similar requests.