1 633 database skills from 232 authors. They work on schemas, queries and moving data between them. Half of them fit into 2 236 tokens or less — that is what one costs your context window when the agent loads it. 285 ship runnable scripts rather than instructions alone. 7 of them cannot work without an MCP server, most often rube. We also found 383 copies of these same skills sitting in other people's repositories — counted once here, not 383 times.
1 633 unique 232 authors 712 updated this month 156 from vendors
| Use when implementing data validation for API payloads, form inputs, or database writes. field constraints, or request/response schemas.
| Use when setting up database connections, especially for Neon PostgreSQL. connection string management, SSL configuration, or SQLAlchemy engine setup.
| Use when setting up Alembic migrations or making database schema changes. rolling back changes, or creating data migrations.
| Use when creating SQLModel database models, CRUD operations, queries with joins, or relationships. NOT when non-database operations, plain SQL, or unrelated data handling.
Universal database operations skill for modern applications. Expert in SQLModel/SQLAlchemy patterns, async database operations, connection pooling, migrations, performance optimization, and multi-database support (PostgreSQL, MySQL, SQLite). Provides production-ready patterns for any database-driven application.
AppFlowy Cloud/GoTrue API 的认证与调用流程（获取 token、workspace/文档/数据库/搜索等）。在本仓库用 Python 编写或调试 AppFlowy API 客户端、脚本、自动化或排查接口问题时使用。
Drizzle ORM patterns and migration safety rules. Use when defining schemas, running migrations, or debugging database issues. Triggers on: Drizzle, schema, migration, db:push, $inferSelect, array column.
TanStack Query v5 patterns and common pitfalls. Use when implementing data fetching, cache invalidation, or debugging stale data issues. Triggers on: useQuery, useMutation, queryKey, invalidate, TanStack, React Query.
Validates system integration before deployment. Use when checking ports, database connections, frontend-backend APIs, or debugging blocked/stuck workflows. Detects dead ends, bottlenecks, circular dependencies.
This skill provides comprehensive Drizzle ORM patterns for PostgreSQL with Vercel Edge Runtime support. Drizzle is Quetrex's chosen ORM because it's edge-first, type-safe, and supports all deployme...
Drizzle ORM patterns for PostgreSQL.
Upstash Redis patterns for caching and rate limiting.
Run PostgreSQL queries and meta-commands via CLI
This skill should be used when the user asks to "search Notion", "find in Notion", "search my Notion workspace", "create Notion page", "make a Notion page", "update Notion page", "edit Notion page", "query Notion database", "get Notion database", "read Notion page", "get page content from Notion", "list Notion pages", or mentions Notion integration, Notion workspace, or Notion API access.
Database migration management for SQLAlchemy projects using Alembic
Modern async ORM with type-safe models and efficient queries
Coordinates backend development tasks (APIs, services, databases). Use when implementing REST APIs, business logic, data models, or service integrations. Applies backend-standard.md for quality gates.
Deep EDN template analyzer for Logseq database graphs. Analyzes template structure, counts classes/properties, finds orphaned items, checks quality, and compares variants. Use when analyzing template files, finding issues, or comparing different template versions.
> Expert guidance for migrating Logseq graphs from Markdown (MD) format to the new Database (DB) format. Auto-invokes when users ask about MD to DB migration, converting graphs, import options, data transformation, or compatibility between Logseq versions. Covers migration strategies, common issues, and best practices.
> Expert in building Datalog queries for Logseq DB graphs. Auto-invokes when users need help writing Logseq queries, understanding Datalog syntax, optimizing query performance, or working with the Datascript query engine. Covers advanced query patterns, pull syntax, aggregations, and DB-specific query techniques.
> Deep expertise in Logseq's Datascript database schema. Auto-invokes when users ask about Logseq DB schema, Datascript attributes, built-in classes, property types, entity relationships, schema validation, or the node/block/page data model. Provides authoritative knowledge of the DB graph architecture.
Manage Chronicle project development using database-tracked milestones, next steps, and roadmap visualization. Works with MCP tools (fast, structured) or CLI commands (portable). Use when planning features, tracking progress, viewing roadmap, or linking sessions to milestones. Eliminates manual DEVELOPMENT_HISTORY.md updates.
A type-safe, Redis-backed caching library for Remix applications with SSE-based real-time invalidation, stale-while-revalidate, pattern matching, and automatic React revalidation. Use when working with Remix caching, Redis, cache invalidation, implementing caching strategies, or real-time data synchronization in Remix apps.
PostgreSQL patterns for reviewing migrations and writing efficient queries. Use when reviewing Alembic migrations, optimizing queries, or debugging database issues.
High-performance PostgreSQL patterns. Use when optimizing queries, designing for scale, or debugging performance issues.
Alembic migration patterns for PostgreSQL. Use when creating migrations, reviewing autogenerated migrations, or handling schema changes safely.
Async/await patterns for FastAPI and SQLAlchemy. Use when working with async code, database sessions, concurrent operations, or debugging async issues in Python.
SQLModel and async SQLAlchemy patterns. Use when working with database models, queries, relationships, or debugging ORM issues.
Handles backend/API/database work for Unite-Hub. Implements Next.js API routes, Supabase database operations, RLS policies, authentication, and third-party integrations (Gmail, Stripe).
Guide for creating idempotent Supabase database migrations with RLS policies and workspace isolation
Analyzes and optimizes application performance across frontend, backend, and database layers. Use when diagnosing slowness, improving load times, optimizing queries, reducing bundle size, or when asked about performance issues.
Detect and report drift between database schema and code data models. Works with SQLAlchemy, Django ORM, Prisma, TypeORM, and other ORMs. Generic across any project.
Generic Supabase best practices for Row Level Security, realtime subscriptions, storage, and edge functions. Framework-agnostic.
Creates database migration files following project conventions for Prisma, Sequelize, Alembic, Knex, TypeORM, and other ORMs. Use when adding tables, modifying schemas, or when user mentions database changes.
Instructions on how to write database queries with SQLAlchemy.
Create database migrations from model changes, schema diffs, and migration best practices.
Interactive database query builder for generating optimized SQL and NoSQL queries.
Generate database schema diagrams, ERDs, and documentation from database schemas.
Generate realistic test data for database development, testing, and demos.
Auto-invoke when reviewing schema design, database queries, ORM usage, or migrations. Enforces normalization, indexing awareness, query optimization, and migration safety.
Auto-invoke when reviewing loops, data fetching, rendering, database queries, or resource-intensive operations. Identifies N+1 queries, unnecessary re-renders, memory leaks, and scalability issues.
Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. USE FOR: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech. DO NOT USE FOR: Function apps/Functions (use azure-functions), databases (azure-postgres/azure-kusto), general Azure resources.
Manage Things 3 via the `things` CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks OpenClaw to add a task to Things, list inbox/today/upcoming, search tasks, or inspect projects/areas/tags.
Manage MongoDB Atlas Organizations as Azure ARM resources using Azure.ResourceManager.MongoDBAtlas SDK. Use when creating, updating, listing, or deleting MongoDB Atlas organizations through Azure Marketplace integration. This SDK manages the Azure-side organization resource, not Atlas clusters/databases directly.
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