Databases
SQL, NoSQL, and database management skills
4429 skills in this category
Subcategories
github-actions-testing-validation
Expert guidance for testing and validating GitHub Actions workflows before deployment - catches cache errors, path issues, monorepo dependencies, and service container problems that local testing misses
robin
Hyper-opinionated Claude agent for building production-ready Next.js apps with DynamoDB. Enforces best practices, eliminates technology debates, and focuses on shipping functional apps fast. Use when building full-stack applications with Next.js 15 App Router and AWS DynamoDB.
gh-pr-comments
List and resolve GitHub PR review comments. Use when working with PR feedback, addressing review comments, or marking threads resolved.
next-tailwind-dev-guidelines
Specialized development guidelines for the Zap Pilot frontend built with Next.js 15, React 19, Tailwind CSS v4, and TypeScript. Covers service-first architecture, component composition patterns, TanStack Query integration, Radix UI components, Web3 wallet integration via ThirdWeb SDK, routing with Next.js App Router, and progressive web app optimization. Use when working with React components, API integration, styling, data fetching, wallet connectivity, or building new features.
server-scripts
Frappe server-side Python patterns for controllers, document events, whitelisted APIs, background jobs, and database operations. Use when writing controller logic, creating APIs, handling document events, or processing data on the server.
nextjs-supabase-auth
Build production-ready Next.js 16 + Supabase authentication and role-based access control systems with 4-tier user roles (admin, main_user, vip_user, user). Use this skill when implementing authentication, user management, role-based permissions, or RLS policies in Next.js projects.
receiving-feedback
Use when receiving feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
database-migration
Executes database migrations using the postgres MCP server. Use when applying schema changes, running migrations, or updating database structure.
ui-ux-expert-skill
Technical workflow for implementing accessible React user interfaces with shadcn/ui, Tailwind CSS, and TanStack Query. Includes 6-phase process with mandatory Style Guide compliance, Context7 best practices consultation, Chrome DevTools validation, and WCAG 2.1 AA accessibility standards. Use after Test Agent, Implementer, and Supabase agents complete their work.
python-backend
Use when building Python web APIs, database-backed applications, or backend services. Covers FastAPI, SQLAlchemy (async), PostgreSQL, Alembic migrations, and performance patterns. Triggers on API endpoint creation, database models, query optimization, or migration planning. Extends python-development skill.
web-components-architecture
Build web components using Custom Elements v1 API with Declarative Shadow DOM, attribute-driven state, handleEvent pattern, and zero DOM selection. Use when creating custom elements, extending built-in HTML elements, or implementing component-based architecture. NO querySelector, NO innerHTML, NO external libraries - pure web platform APIs only.
rls-test-patterns
RLS policy testing patterns for Supabase - automated test cases for Row Level Security enforcement, user isolation verification, multi-tenant security, and comprehensive security audit scripts. Use when testing RLS policies, validating user isolation, auditing Supabase security, verifying tenant isolation, testing row level security, running security tests, or when user mentions RLS testing, security validation, policy testing, or data leak prevention.
doc-coauthoring
Collaborate on documents with tracked changes, suggestions, and iterative refinement. Use for reviewing drafts, providing editorial feedback, and collaborative document development.
delonauth-authentication-authorization
Implement authentication and authorization using @delon/auth. Use this skill when adding login/logout flows, JWT token management, role-based access control (RBAC), route guards, HTTP interceptors, and session management. Integrates with Firebase Auth and custom permission systems. Ensures secure token storage, automatic token refresh, and consistent authorization checks across components and services.
query-performance-analysis
Detect N+1 queries, analyze slow queries with EXPLAIN, identify missing indexes, and ensure safe online index migrations. Use when optimizing query performance, preventing performance regressions, or debugging slow endpoints. Complements database-migrations skill which covers index creation syntax.
gcp-infra-to-terraform
기존 GCP 리소스(BigQuery, GCS, IAM 등)를 gcloud/bq 명령어로 추출하여 문서화하고, 이를 Terraform(IaC) 코드로 변환하는 워크플로우 스킬입니다. Reverse Engineering Infrastructure.
saas-launch-planner
Comprehensive SaaS planning system for solo developers using Next.js + Supabase + Stripe stack. Converts ideas into shippable subscription products with scope control, feature prioritization, billing architecture, technical roadmap, and anti-feature-creep mechanisms. Generates PRDs with subscription models, pricing strategies, and Claude Code starter prompts. Use when planning SaaS products, subscription apps, or when user mentions billing, payments, recurring revenue, or subscription models.
supabase-expert
Comprehensive Supabase expert with access to 2,616 official documentation files covering PostgreSQL database, authentication, real-time subscriptions, storage, edge functions, vector embeddings, and all platform features. Invoke when user mentions Supabase, PostgreSQL, database, auth, real-time, storage, edge functions, backend-as-a-service, or pgvector.
receiving-code-review
Triage code review feedback and reflect follow-up tasks in pending-questions/context. Use when incorporating review results.
cloudflare-vectorize
Complete knowledge domain for Cloudflare Vectorize - globally distributed vector database for buildingsemantic search, RAG (Retrieval Augmented Generation), and AI-powered applications.Use when: creating vector indexes, inserting embeddings, querying vectors, implementing semantic search,building RAG systems, configuring metadata filtering, working with Workers AI embeddings, integratingwith OpenAI embeddings, or encountering metadata index timing errors, dimension mismatches, filtersyntax issues, or insert vs upsert confusion.Keywords: vectorize, vector database, vector index, vector search, similarity search, semantic search,nearest neighbor, knn search, ann search, RAG, retrieval augmented generation, chat with data,document search, semantic Q&A, context retrieval, bge-base, @cf/baai/bge-base-en-v1.5,text-embedding-3-small, text-embedding-3-large, Workers AI embeddings, openai embeddings,insert vectors, upsert vectors, query vectors, delete vectors, metadata filtering, namespace filtering,topK