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Found 2,379 Skills
C++ Reinforcement Learning best practices using libtorch (PyTorch C++ frontend) and modern C++17/20. Use when: - Implementing RL algorithms in C++ for performance-critical applications - Building production RL systems with libtorch - Creating replay buffers and experience storage - Optimizing RL training with GPU acceleration - Deploying RL models with ONNX Runtime
Profile-guided optimisation skill for C/C++ with GCC and Clang. Use when squeezing maximum runtime performance after standard optimisation plateaus, implementing two-stage PGO builds, collecting profile data, or applying BOLT for post-link optimisation. Activates on queries about PGO, profile-guided optimization, fprofile-generate, fprofile-use, instrumented builds, or BOLT.
Build Progressive Web Apps with Next.js: service workers, offline support, caching strategies, push notifications, install prompts, and web app manifest. Use when creating PWAs, adding offline capability, configuring service workers, implementing push notifications, handling install prompts, or optimizing PWA performance. Triggers: PWA, progressive web app, service worker, offline, cache strategy, web manifest, push notification, installable app, Serwist, next-pwa, workbox, background sync.
Microsoft/Bing Ads deep analysis covering search, Performance Max, Audience Network, and Copilot integration. Evaluates 20 checks with focus on Google import validation, unique Microsoft features, and cost advantage assessment. Use when user says "Microsoft Ads", "Bing Ads", "Bing PPC", "Copilot ads", or "Microsoft campaign".
Enforces TheOne Studio React Native development standards including TypeScript patterns, React/Hooks best practices, React Native architecture (Zustand/Jotai, Expo Router), and mobile performance optimization. Triggers when writing, reviewing, or refactoring React Native code, implementing mobile features, working with state management/navigation, or reviewing pull requests.
Query Developer Experience (DX) data via the DX Data MCP server PostgreSQL database. Use this skill when analyzing developer productivity metrics, team performance, PR/code review metrics, deployment frequency, incident data, AI tool adoption, survey responses, DORA metrics, or any engineering analytics. Triggers on questions about DX scores, team comparisons, cycle times, code quality, developer sentiment, AI coding assistant adoption, sprint velocity, or engineering KPIs.
APM - traces, services, dependencies, performance analysis.
Test application performance, scalability, and resilience. Use when planning load testing, stress testing, or optimizing system performance.
Use when building SwiftUI views, managing state with @Observable, implementing NavigationStack or NavigationSplitView navigation patterns, composing view hierarchies, presenting sheets, wiring TabView, applying SwiftUI best practices, or structuring an MV-pattern app. Covers view architecture, state management, navigation, view composition, layout, List, Form, Grid, theming, environment, deep links, async loading, and performance.
Coordinates performance optimization: algorithm, query, and runtime workers in parallel
Use when monitoring Xiaohongshu marketing campaign performance, tracking promotion effectiveness, analyzing advertising ROI, measuring influencer collaboration results, evaluating activity success rates, or optimizing marketing spend allocation
Expert guide for WebGL API development including 3D graphics, shaders (GLSL), rendering pipeline, textures, buffers, performance optimization, and canvas rendering. Use when working with WebGL, 3D graphics, canvas rendering, shaders, GPU programming, or when user mentions WebGL, OpenGL ES, GLSL, vertex shaders, fragment shaders, texture mapping, or 3D web graphics.