> browse/registry

> data-validator

Validate data quality in CSV, JSON, and database exports by checking for missing values, type mismatches, duplicates, outliers, and schema violations. Use when building ETL pipelines, auditing data imports, checking data freshness, or ensuring data contracts between teams. Trigger words: data quality, validation, null values, duplicates, schema check, data contract, ETL, pipeline, data drift.

> faker

When the user wants to generate realistic fake data for testing, seeding databases, or prototyping. Also use when the user mentions "faker," "fake data," "test data generation," "seed data," "mock data," "random names," or "realistic test data." For API mocking, see mockoon or wiremock.

> flask

Flask is a lightweight Python micro web framework that provides the essentials for web development without imposing structure. It uses Jinja2 templates and Werkzeug WSGI toolkit, with a rich ecosystem of extensions for databases, auth, and more.

> knex

You are an expert in Knex.js, the flexible SQL query builder for Node.js that supports PostgreSQL, MySQL, SQLite, and MSSQL. You help developers write type-safe queries with a chainable API, manage database migrations and seeds, build complex joins and subqueries, and use transactions — providing direct SQL control without the overhead of a full ORM.

> pglite

You are an expert in PGlite, the lightweight WASM Postgres build that runs in the browser, Node.js, and Deno. You help developers embed a full Postgres instance (with extensions like pgvector, PostGIS) in client-side apps, Electron, React Native, and serverless functions — providing real SQL with JSONB, full-text search, and vector similarity search at ~3MB compressed, without a server.

> sqlite

SQLite is a self-contained, serverless, zero-configuration embedded SQL database engine. Learn CLI usage, Node.js integration with better-sqlite3, Python's built-in sqlite3 module, and best practices for schema design, indexing, and WAL mode.

> mcp-server-builder

Build Model Context Protocol (MCP) servers that connect AI agents to external services and data sources. Use when a user asks to create an MCP server, build an MCP tool, connect an AI agent to an API, create a tool server for Claude, build MCP resources, or expose a database/service via MCP. Generates TypeScript or Python MCP servers with tools, resources, and prompts following the official MCP specification.

> trigger-dev

You are an expert in Trigger.dev, the open-source background jobs platform for TypeScript. You help developers build reliable long-running tasks, scheduled jobs, webhook handlers, and event-driven workflows with automatic retries, concurrency control, real-time logs, and deployment to serverless infrastructure — replacing BullMQ/Redis setups with a fully managed or self-hosted solution purpose-built for modern TypeScript apps.

> saas-architecture-advisor

Advises on multi-tenant SaaS architecture decisions including tenancy models, data isolation strategies, tenant routing, and scaling patterns. Use when someone is building a SaaS product, converting single-tenant to multi-tenant, or evaluating isolation strategies. Trigger words: multi-tenant, SaaS architecture, tenant isolation, shared database, per-tenant database, row-level security, tenant routing, SaaS patterns.

> dlt

You are an expert in dlt, the open-source Python library for building data pipelines. You help developers load data from any API, file, or database into warehouses and lakes using simple Python decorators — with automatic schema inference, incremental loading, and built-in data contracts. dlt is the "requests library for data pipelines."

> ibis

Expert guidance for Ibis, the Python dataframe library that provides a pandas-like API but generates SQL for execution on any backend — DuckDB, PostgreSQL, BigQuery, Snowflake, Spark, and more. Helps developers write analytics code once and run it anywhere without rewriting SQL for each database.

> bolt

You are an expert in Bolt.new by StackBlitz, the AI-powered full-stack development environment that runs entirely in the browser. You help developers go from idea to deployed app in minutes using natural language prompts — Bolt generates complete applications with frontend, backend, database, and deployment, all running in a WebContainer without local setup.

> database-migrations-sql-migrations

SQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, SQL Server

> backend-development

Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.

> database-redis

Optimize Redis caching, key management, and performance. Use when implementing Redis caching strategies, managing key namespaces, or optimizing Redis performance. (triggers: **/*.ts, **/*.js, **/redis.config.ts, redis, cache, ttl, eviction)

> database-design

Designs database schemas, indexing strategies, query optimization, and migration patterns for SQL and NoSQL databases. Use when designing tables, optimizing queries, fixing N+1 problems, planning migrations, or when asked about database performance, normalization, ORMs, or data modeling.

> nestjs-database

Implement data access patterns, Scaling, Migrations, and ORM selection in NestJS. Use when implementing TypeORM/Prisma repositories, migrations, or database patterns in NestJS. (triggers: **/*.entity.ts, prisma/schema.prisma, TypeOrmModule, PrismaService, MongooseModule, Repository)

> nestjs-testing

Write Unit and E2E tests with Jest, mocking strategies, and database isolation in NestJS. Use when writing NestJS unit tests, E2E tests with supertest, or mock providers. (triggers: **/*.spec.ts, test/**/*.e2e-spec.ts, Test.createTestingModule, supertest, jest, beforeEach)

> convex-backend

Convex backend development guidelines. Use when writing Convex functions, schemas, queries, mutations, actions, or any backend code in a Convex project. Triggers on tasks involving Convex database operations, real-time subscriptions, file storage, or serverless functions.

> database-query

Query database safely with parameterized statements