2357 个 · 按相关度排序
Large-scale data migrations with validation, rollback, and zero-downtime strategies. Activate on: data migration, database migration, zero-downtime migration, dual-write, backfill, cutover, data validation, schema migration. NOT for: schema evolution in streams (use schema-evolution-manager), API versioning (use api-versioning-backward-compatibility).
中文简介正在准备中。当前显示原文说明。
Long-running design anthropologist that builds comprehensive visual databases from 500-1000 real-world examples, extracting color palettes, typography patterns, layout systems, and interaction design across any domain (portfolios, e-commerce, SaaS, adult content, technical showcases). This skill should be used when users need exhaustive design research, pattern recognition across large example sets, or systematic visual analysis for competitive positioning.
中文简介正在准备中。当前显示原文说明。
Use when applying Cloudflare D1 migrations, fighting Supabase migration history vs SQL execution, choosing direct psql over CLI, designing idempotent migrations, debugging schema drift between local and remote, or recovering after a half-applied migration. Triggers: supabase migration repair instructions appearing, table missing after "applied" status, "Tenant or user not found" when running psql, --remote vs --local D1 confusion, NOT NULL on a populated column, foreign key constraint failures, drift between staging and prod schemas. NOT for Mongo/document migrations, ORM-managed migrations specifically (Prisma/Drizzle have their own conventions), or pure data backfills.
中文简介正在准备中。当前显示原文说明。
CQRS pattern, event stores, projections, eventual consistency. Activate on: CQRS, event sourcing, event store, read model, projection, aggregate, domain event, command handler. NOT for: message broker setup (use event-driven-architecture-expert), database optimization (use data-warehouse-optimizer).
中文简介正在准备中。当前显示原文说明。
Building resilient distributed systems with circuit breakers, retries with full-jitter exponential backoff, retry budgets (per-request 3-attempt + per-client 10% ratio per Google SRE), deadline propagation, and the cascading-failure math (4 layers × 3 retries = 64x amplification). Grounded in Resilience4j, Microsoft Cloud Patterns, AWS Architecture Blog (Marc Brooker), and Google SRE Book. NOT for server-side rate limiting, bulkhead isolation, backpressure protocols, or database-specific retry.
中文简介正在准备中。当前显示原文说明。
Redis caching patterns, cache-aside, write-through, TTL strategies, and invalidation. Activate on: caching, Redis, cache invalidation, cache-aside, write-through, TTL, CDN cache, stale-while-revalidate. NOT for: CDN/reverse proxy setup (use api-gateway-reverse-proxy-expert), database query optimization (use data-warehouse-optimizer).
中文简介正在准备中。当前显示原文说明。
Choosing and operating an HTTP API versioning strategy that doesn't break clients — Stripe's date-based pinned versions, the Deprecation/Sunset header pair (RFC 9745 + RFC 8594), URI vs header vs media-type approaches, and the version-transformer pattern. Grounded in Stripe's published architecture and IETF RFCs. NOT for GraphQL schema evolution, gRPC/Protobuf wire compatibility, database schema migrations, or library/SDK semver.
中文简介正在准备中。当前显示原文说明。
Expert API designer for REST, GraphQL, gRPC architectures. Activate on: API design, REST API, GraphQL schema, gRPC service, OpenAPI, Swagger, API versioning, endpoint design, rate limiting, OAuth flow. NOT for: database schema (use data-pipeline-engineer), frontend consumption (use web-design-expert), deployment (use devops-automator).
中文简介正在准备中。当前显示原文说明。
Design multi-tier caching architectures for web applications — cache-aside vs write-through vs write-behind, TTL design, cache invalidation, Redis patterns, CDN configuration, browser caching, and stampede prevention. Use when choosing a caching pattern, designing cache invalidation strategies, implementing Redis caching, configuring Cache-Control headers, or preventing cache stampedes. Activate on "cache invalidation", "cache-aside", "write-through", "TTL", "Redis cache", "CDN caching", "cache stampede", "stale data", "browser cache". NOT for database query caching within an ORM, memoization of pure functions, or CPU-level caching.
中文简介正在准备中。当前显示原文说明。
Moves a person's whole Notion workspace into AI Matrx using only the AI Matrx and Notion connectors — every page and sub-page becomes an AI Matrx page (a Space) with its blocks, icons, covers, files and comments, and every database becomes a real table with typed columns, links, roll-ups, row pages, templates and views. Safe to run again; nothing duplicates. Use when the person says "move my Notion into AI Matrx", "copy my Notion", "import my Notion", or anything like it.
中文简介正在准备中。当前显示原文说明。
Scaffold recipe for a new authenticated route: SSR shell, DB-derived types, Redux hydration, view sub-pages. Use when creating a new route or page, adding a feature with a sidebar/main layout, adding view modes to a route, or feature types don't match database.types.ts.
中文简介正在准备中。当前显示原文说明。
Entry point and shared rules for structural changes to the live Matrx database. Use before any DDL: dropping, merging, or renaming a table, changing a function, RPC, trigger, or policy, hunting straggler tables, or starting a deprecated, schema move, or canonicalization (it routes to those skills).
中文简介正在准备中。当前显示原文说明。
PostgreSQL、MySQL、および一般的なORM（Prisma、Drizzle、Kysely、Django、TypeORM、golang-migrate）にわたるスキーマ変更、データマイグレーション、ロールバック、ゼロダウンタイムデプロイメントのためのデータベースマイグレーションベストプラクティス。
中文简介正在准备中。当前显示原文说明。
Design and generate Convex database schemas with proper validation, indexes, and relationships. Use when creating schema.ts or modifying table definitions.
中文简介正在准备中。当前显示原文说明。
Build reactive, type-safe, production-grade backends. ALWAYS use this skill when the user asks to build, plan, design, or implement backend features, APIs, data models, server logic, database schemas, web apps, full stack apps, or mobile apps. This includes planning and architecture discussions.
中文简介正在准备中。当前显示原文说明。
Seed or import data into the Convex database.
中文简介正在准备中。当前显示原文说明。
Generates PHPUnit integration tests for PHP 8.5. Creates tests with real dependencies, database transactions, HTTP mocking. Supports repositories, API clients, message handlers.
中文简介正在准备中。当前显示原文说明。
Generates InMemory repository implementations for PHP 8.5 testing. Creates fake repositories with array storage, supporting CRUD operations and queries without database.
中文简介正在准备中。当前显示原文说明。
Write academic research documents following academic guidelines with peer-reviewed sources from Google Scholar and other academic databases. Always verify source credibility and generate IEEE standard references. Use for research papers, literature reviews, technical reports, theses, dissertations, conference papers, and academic proposals requiring proper citations and scholarly rigor.
中文简介正在准备中。当前显示原文说明。
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
中文简介正在准备中。当前显示原文说明。
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
中文简介正在准备中。当前显示原文说明。
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
中文简介正在准备中。当前显示原文说明。
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
中文简介正在准备中。当前显示原文说明。
Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks.
中文简介正在准备中。当前显示原文说明。