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Found 1,235 Skills
PostgreSQL best practices, query optimization, connection troubleshooting, and performance improvement. Load when working with Postgres databases.
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.
Clang/LLVM compiler skill for C/C++ projects. Use when working with clang or clang++ for diagnostics, sanitizer instrumentation, optimization remarks, static analysis with clang-tidy, LTO via lld, or when migrating from GCC to Clang. Activates on queries about clang flags, clang-tidy, clang-format, better error messages, Apple/FreeBSD toolchains, or LLVM-specific optimizations. Covers flag selection, diagnostic tuning, and integration with LLVM tooling.
Performance attribution, trade analytics, and strategy optimization
Comprehensive code reviewer for Java and Python implementations focusing on correctness, efficiency, code quality, and algorithmic optimization. Reviews LeetCode solutions, data structures, and algorithm implementations. Use when reviewing code, checking solutions, or providing feedback on implementations.
Provides AWS Lambda integration patterns for Java with cold start optimization. Use when deploying Java functions to AWS Lambda, choosing between Micronaut and Raw Java approaches, optimizing cold starts below 1 second, configuring API Gateway or ALB integration, or implementing serverless Java applications. Triggers include "create lambda java", "deploy java lambda", "micronaut lambda aws", "java lambda cold start", "aws lambda java performance", "java serverless framework".
Database operations: migrations, queries, transactions, and performance. Use when: - Writing database migrations - Optimizing queries or adding indexes - Managing transactions and connections - Setting up connection pooling - Designing audit logging Keywords: database, migration, SQL, query optimization, index, transaction, connection pool, N+1, ORM, audit log
Advanced token optimization and context management strategies.
Advanced type-safe RPC patterns for Electrobun desktop applications. Covers bidirectional main↔webview communication, type safety with TypeScript, error handling and validation, performance optimization, streaming data patterns, batch operations, retry strategies, event-based communication, shared type definitions, RPC middleware, request/response patterns, and complex data synchronization. Use this skill when implementing complex communication between main and webview processes, need type-safe RPC with full IntelliSense, handling large data transfers, implementing real-time updates, building type-safe APIs between processes, debugging RPC issues, optimizing RPC performance, or implementing advanced patterns like streaming, batching, or pub/sub. Triggers include "RPC", "main webview communication", "type-safe RPC", "bidirectional RPC", "RPC performance", "RPC error handling", "shared types", "process communication", or "IPC patterns".
GCC compiler skill for C/C++ projects. Use when selecting optimization levels, warning flags, debug builds, LTO, sanitizer instrumentation, or diagnosing compilation errors with GCC. Covers flag selection for debug vs release, ABI concerns, preprocessor macros, profile-guided optimization, and integration with build systems. Activates on queries about gcc flags, compilation errors, performance tuning, warning suppression, or cross-standard compilation.
React performance optimization patterns including memoization, code splitting, bundle size reduction, re-render elimination, and profiling. Covers React Compiler automatic optimization, manual memo/useMemo/useCallback targeting, React.lazy with Suspense, barrel file avoidance, content-visibility for large lists, startTransition for non-urgent updates, and React DevTools profiling. Use when optimizing React app performance, reducing bundle size, eliminating unnecessary re-renders, debugging slow components, code splitting, or profiling rendering bottlenecks. Use for performance audit, bundle analysis, re-render diagnosis, lazy loading, virtualization.
Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).