'high performance' 검색 결과

Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.

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Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when designing, implementing, reviewing, debugging, testing, profiling, or porting concurrent, parallel, distributed, high-performance, network dataplane, kernel-bypass, or real-time software, including locks, semaphores, monitors, MPI, CSP rendezvous, DPDK, VPP, eBPF, XDP, AF_XDP, SR-IOV, RSS, RoCEv2/RDMA, RMS/EDF, priority inversion, and environment selection from silicon to edge.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Make a WooCommerce plugin HPOS-compatible (High-Performance Order Storage, default-on in WC 10.x) — declare via FeaturesUtil::declare_compatibility on before_woocommerce_init, replace $wpdb->postmeta / WP_Query order code with wc_get_orders + WC_Order::get_meta / update_meta_data, gate runtime branches on OrderUtil::custom_orders_table_usage_is_enabled, build admin hook names dynamically with OrderUtil::get_order_admin_screen (HPOS = woocommerce_page_wc-orders, legacy = shop_order). Use when scaffolding an order-touching plugin, auditing existing code for HPOS readiness, or fixing post-WC-10 silent breakage. Triggers on shop_order, get_post_meta with order context, FeaturesUtil, OrderUtil, custom_order_tables, before_woocommerce_init.

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Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

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Advanced JavaScript animation library skill for creating complex, high-performance web animations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Machine learning development with JAX, functional programming patterns, and high-performance computing.

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Expert in JAX for high-performance numerical computing and machine learning

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Optimize Entity Framework Core queries by fixing N+1 problems, choosing correct tracking modes, using compiled queries, and avoiding common performance traps. Use when EF Core queries are slow, generating excessive SQL, or causing high database load.

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Use when working on any Java or JVM project: plain Java, libraries, CLI tools, Maven/Gradle builds, Spring Boot, Jakarta EE, MyBatis/MyBatis-Plus, JPA/Hibernate, Lombok, Java tests, Java code review, API design, exception handling, security review, refactoring, dependencies, Java version upgrades, javax/jakarta migrations, or JVM runtime troubleshooting such as GC, OOM, thread dumps, deadlocks, high CPU, and performance issues.

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Hive CE (Community Edition v2.19.x) NoSQL object database for Flutter providing blazing-fast key-value and object storage with TypeAdapters. Use this skill when implementing offline-first architecture, high-performance local data caching, NoSQL document-style object stores, custom TypeAdapter serialization for complex objects, lazy loading boxes for memory efficiency, encrypted boxes (HiveAES encryption), database compaction for size optimization, storing large datasets without SQL schema overhead, implementing local-first sync patterns, or migrating from SQLite to NoSQL. Supports primitive types, custom objects, lists, and maps. Ideal for apps requiring ultra-fast read/write operations (microsecond latency), object persistence without ORM complexity, or local-first data architecture.

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Evidence-driven application audit protocol for security, authorization, privacy, concurrency, state integrity, reliability, performance, accessibility, visual consistency, responsive behavior, and release readiness. Use for incremental checks, pre-merge review, pre-launch audits, high-stakes deep audits, AI-generated code review, hardening, or release-gate design. Prefer this protocol over ad-hoc review when the user asks whether software is safe or ready to ship.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-...

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling `connect()`), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool exhaustion), optimizing performance issues related to connections. This includes scenarios like building serverless functions with MongoDB, creating API endpoints that use MongoDB, optimizing high-traffic MongoDB applications, creating long-running tasks and concurrency, or debugging connection-related failures.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When addressing slow application endpoints, high database CPU usage, or standardizing data access patterns.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Parallel read-only multi-agent review of a current git diff or explicit file scope to find behavioral regressions, security or privacy risks, performance or reliability issues, and contract or test coverage gaps. Use when the user asks for a review swarm, parallel review, diff review, regression review, security review, or wants high-signal issues plus a prioritized fix path without editing files.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Advanced JavaScript animation library skill for creating complex, high-performance web animations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.