1 639 database skills from 232 authors. They work on schemas, queries and moving data between them. Half of them fit into 2 210 tokens or less — that is what one costs your context window when the agent loads it. 286 ship runnable scripts rather than instructions alone. 7 of them cannot work without an MCP server, most often rube. We also found 387 copies of these same skills sitting in other people's repositories — counted once here, not 387 times.
1 639 unique 232 authors 5 updated this month 163 from vendors
Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies.
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
Optimize SQL query performance using EXPLAIN analysis, indexing strategies, and common anti-pattern fixes. Use this skill when the user needs to speed up slow queries, design indexes, fix N+1 problems, or optimize database performance — even if they say 'this query is slow', 'optimize our database', 'which indexes do we need', or 'our dashboard takes 30 seconds to load'.
WordPress performance code review and optimization analysis. Use when reviewing WordPress PHP code for performance issues, auditing themes/plugins for scalability, optimizing WP_Query, analyzing caching strategies, checking code before launch, or detecting anti-patterns, or when user mentions "performance review", "optimization audit", "slow WordPress", "slow queries", "high-traffic", "scale WordPress", "code review", "timeout", "500 error", "out of memory", or "site won't load". Detects anti-patterns in database queries, hooks, object caching, AJAX, and template loading.
Guides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high cardinality results'.
> Voice, style, and content rules for writing ClickHouse docs. Use when drafting new pages, rewriting sections, or applying editorial polish. Covers identity, voice, pacing, sentence habits, anti-patterns, AI-ism removal, prose tightening, editorial instinct, linking, keywords, content integrity, and marketing site alignment.
> Review a ClickHouse docs page before shipping. Runs the self-review checklist, Vale linting, and PR review rubric. Use when doing a final check, running Vale, or when asked "is this ready to ship."
>- JeecgBoot Online表单(cgform)全生命周期管理——通过API自动创建/编辑数据库表和表单配置, 支持单表、主子表、树表,26种控件类型,以及JS/Java/SQL增强、权限配置、数据CRUD、积木报表集成。 只要用户意图涉及「Online表单」就必须使用本技能,包括但不限于: 创建或配置数据库表("建一张请假表"、"创建online表"、"做一个带下拉选择的表"、"低代码表单"、"在线表单"、"配置表")、 修改已有Online表字段("加个字段"、"改字段类型"、"加子表"、"删除字段")、 配置表单增强("JS增强"、"自定义按钮"、"表单联动"、"Java增强"、"SQL增强")、 配置权限("字段权限"、"按钮权限"、"数据权限"、"授权给角色")、 管理表单数据("插入数据"、"查询记录"、"导出CSV"、"造测试数据")、 以及关联积木报表("给这个表加报表"、"集成打印")。 即使用户只描述了业务需求而没说"online"(如"做一个员工信息管理功能,包含姓名、部门下拉、入职日期"), 只要涉及元数据驱动的表单配置,也应触发本技能。 注意:不要与「设计器表单」(desform)混淆——desform是拖拽式表单设计器,用skill jeecg-desform处理; 也不要与「Online报表」(cgreport)或「Online图表」(onlchart)混淆——它们是SQL驱动的只读展示。
Generate database migrations for a Medusa module
Run database migrations in Medusa
Configure Better Auth server and client, set up database adapters, manage sessions, add plugins, and handle environment variables. Use when users mention Better Auth, betterauth, auth.ts, or need to set up TypeScript authentication with email/password, OAuth, or plugin configuration.
TanStack Query (React Query) best practices for data fetching, caching, mutations, and server state management. Activate when building data-driven React applications with server state.
Use for bun:sqlite, SQLite operations, prepared statements, transactions, and queries.
Cloudflare D1 serverless SQLite on edge. Use for databases, migrations, bindings, or encountering D1_ERROR, statement too long, too many requests queued errors.
Cloudflare Hyperdrive for Workers-to-database connections with pooling and caching. Use for PostgreSQL/MySQL, Drizzle/Prisma, or encountering pool errors, TLS issues, connection refused.
| Type-safe ORM for Cloudflare D1 databases using Drizzle. Use when: building D1 database schemas, writing type-safe SQL queries, managing migrations with Drizzle Kit, defining table relations, implementing prepared statements, using D1 batch API, or encountering D1_ERROR, transaction errors, foreign key constraint failures, or schema inference issues.
Idempotent API operations with idempotency keys, Redis caching, DB constraints. Use for payment systems, webhook retries, safe retries, or encountering duplicate processing, race conditions, key expiry errors.
| Nuxt 4 server-side development with Nitro: API routes, server middleware, database integration, and backend patterns. Use when: creating server API routes, implementing server middleware, integrating databases (D1, PostgreSQL, Drizzle), handling file uploads, implementing WebSockets, or building backend logic with Nitro.
Nuxt 5 server-side development with Nitro v3, h3 v2, API routes, middleware, and database integration. Use when creating server routes, integrating D1/Drizzle, or migrating from Nitro v2.
Implements secure session management with JWT tokens, Redis storage, refresh flows, and proper cookie configuration. Use when building authentication systems, managing user sessions, or implementing secure logout functionality.
TanStack Query v5 (React Query) server state management. Use for data fetching, caching, mutations, or encountering v4 migration, stale data, invalidation errors.
TanStack Table v8 headless data tables with server-side features for Cloudflare Workers + D1. Use for pagination, filtering, sorting, virtualization, or encountering state management, TanStack Query coordination, URL sync errors.
Initialize a project_brain.db in the current project folder. Creates the database, project record, then scans existing files (CLAUDE.local.md, memory files, docs, emails) to bootstrap the brain with knowledge. Smart enough to handle re-runs — skips what already exists and only processes new/changed files.
SQLite-based project knowledge tracker. Manages entities, relationships, tasks, threads, decisions, and events per project folder. Use /brain to query or update project_brain.db. Triggers on: 'brain', 'project knowledge', 'what do we know about', 'open tasks', 'recent decisions'.
Read the recent M0 operational thread for a project, newest first, to pick up work started in this or another tool. Answers 'where were we' and 'what is next' before asking the user to repeat context. Local SQLite, no embeddings, no network. Triggers on: 'm0 recall', 'where were we', 'what did we do last time', 'catch me up', 'resume context', 'read the thread', 'what is next'.
Generate tests for database migration safety covering schema changes, data integrity preservation, rollback verification, and zero-downtime migration validation
Database performance testing including query optimization, index analysis, connection pooling, slow query detection, and N+1 query prevention.
Testing database migration scripts for correctness, rollback safety, data integrity, and zero-downtime migration patterns.
Testing patterns for Drizzle ORM covering migration testing, query builder testing, transaction testing, and database integration testing with PostgreSQL, SQLite, and MySQL.
MongoDB testing with in-memory MongoDB, aggregation pipeline testing, schema validation, indexing verification, and replica set testing.
Detect and eliminate N+1 query problems in database-backed applications through query counting, execution plan analysis, and ORM configuration auditing
Redis testing including cache behavior verification, pub/sub testing, transaction testing, cluster failover testing, and data expiration validation.
Testing patterns for Supabase applications covering auth flow testing, Row Level Security policy testing, realtime subscription testing, and edge function testing
Test isolation techniques including database cleanup, transaction rollback, parallel test execution, and shared resource management.
Teaches the agent to speed up Node integration tests with Testcontainers reuse — withReuse(true), TESTCONTAINERS_REUSE_ENABLE, the .testcontainers.properties opt-in, stable hashing for Postgres/MySQL/Kafka, and Ryuk/CI caveats.
> Use when creating database migrations, schema changes, seed data, or any SQL that modifies database structure. Covers Flyway naming conventions, versioning, and safe migration patterns.
> Use when implementing caching, session storage, rate limiting, or any Redis integration. Covers cache-aside pattern, key naming, TTL strategy, and serialization config.
> Use when working with @Transactional, multi-step database operations, distributed transactions, or any code that needs atomicity guarantees. Covers propagation rules, isolation levels, read-only optimization, and common pitfalls.
> Use when creating database migrations, schema changes, seed data, or any SQL that modifies database structure. Covers Flyway naming conventions, versioning, and safe migration patterns.
> Use when implementing caching, session storage, rate limiting, or any Redis integration. Covers cache-aside pattern, key naming, TTL strategy, and serialization config.
> Use when working with @Transactional, multi-step database operations, distributed transactions, or any code that needs atomicity guarantees. Covers propagation rules, isolation levels, read-only optimization, and common pitfalls.
Expert in background job processing with Bull/BullMQ (Redis), Celery, and cloud queues. Implements retries, scheduling, priority queues, and worker management. Use for async task processing, email campaigns, report generation, batch operations. Activate on "background job", "async task", "queue", "worker", "BullMQ", "Celery". NOT for real-time WebSocket communication, synchronous API calls, or simple setTimeout operations.
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.
Application architecture patterns and code organization — clean architecture, hexagonal architecture, feature-based structure, dependency inversion, module boundaries, SOLID principles at module scale. Activate on "clean architecture", "hexagonal architecture", "feature-based structure", "dependency inversion", "module boundaries", "architecture pattern", "folder structure", "fat controller", "circular dependency", "IoC container". NOT for microservice decomposition (use microservices-patterns) or database schema design (use database-design-patterns).
Schema design, normalization decisions, indexing strategies, and migration safety for relational databases. Use when designing tables, choosing between normalize vs denormalize, selecting index types, planning zero-downtime migrations, or setting up connection pooling. Activate on "schema design", "normalization", "denormalization", "foreign key", "index strategy", "migration", "connection pooling", "composite key", "surrogate key", "soft delete", "polymorphic association". NOT for PostgreSQL-specific query tuning or EXPLAIN analysis (use postgresql-optimization), NoSQL or document database design, or cloud database provisioning.