Loading...
Loading...
Found 68 Skills
Design database schemas for Grey Haven multi-tenant SaaS - SQLModel models, Drizzle schema, multi-tenant isolation with tenant_id and RLS, timestamp fields, foreign keys, indexes, migrations, and relationships. Use when creating database tables.
Arquiteto de Dados especialista em PostgreSQL, Supabase e modelagem multi-tenant para a plataforma PAPO
MANDATORY when touching auth tables, tenant isolation, RLS policies, or multi-tenant database code - enforces Row Level Security best practices and catches common bypass vulnerabilities
Critical guardrail for Supabase database operations ensuring multi-tenant isolation with publication_id filtering, proper use of supabaseAdmin, avoiding SELECT *, error handling patterns, and secure server-side database access. Use when writing database queries, working with supabase, accessing newsletter_campaigns, articles, rss_posts, or any tenant-scoped data.
Rust full-stack patterns. Leptos + Axum + PostgreSQL web apps, auth, multi-tenant, API design.
Configure multi-tenant organizations, manage members and invitations, define custom roles and permissions, set up teams, and implement RBAC using Better Auth's organization plugin. Use when users need org setup, team management, member roles, access control, or the Better Auth organization plugin.
Supabase Row Level Security policies. Use when creating RLS policies, securing tables, or implementing multi-tenant data isolation.
Comprehensive SaaS architecture planner for Next.js and Supabase applications. Converts ideas into production-ready technical plans with database schemas, file structures, feature breakdowns, and week-by-week development roadmaps. Use when planning subscription-based applications, multi-tenant SaaS products, or building from idea to launch with Next.js and Supabase stack.
Implement field-level encryption with @cipherstash/stack. Covers schema definition, encrypt/decrypt operations, searchable encryption (equality, free-text, range, JSON), bulk operations, model operations, identity-aware encryption with LockContext, multi-tenant keysets, and the full TypeScript type system. Use when adding encryption to a project, defining encrypted schemas, or working with the CipherStash Encryption API.
Multi-tenant architecture patterns. Database-per-tenant, schema-per-tenant, shared-schema with tenant ID, row-level security, tenant resolution, and data isolation. USE WHEN: user mentions "multi-tenant", "multitenancy", "SaaS architecture", "tenant isolation", "row-level security", "tenant ID", "subdomain routing" DO NOT USE FOR: general database design - use database skills; authentication - use auth skills
Guides product infrastructure security—securing the runtime, data plane, and control plane that ships with the product: multi-tenant isolation, service-to-service auth, customer data boundaries, secure defaults in APIs and workers, abuse-resistant rate limits, product-scoped secrets and encryption, and security design reviews for product infra changes. Use when threat-modeling product features, designing tenant isolation, hardening service mesh or internal APIs, reviewing product IaC/modules for data leaks, defining secure baselines for microservices the product team owns, or partnering on incidents affecting customer workloads—not for corporate IdP/SIEM (information-security-engineer), CI pipeline gates only (devsecops), SOC operations (defensive-security-analyst), authorized pentest execution (offensive-security-analyst), general IDP golden paths (platform-engineer), company-wide GRC (cybersecurity), or applied AI solution architecture for LLM features (applied-ai-architect-commercial-enterprise).
Add persistent, structured long-term memory to AI agents using Maximem Synap. Use this skill whenever the user is building, debugging, or evaluating an AI agent and mentions any of: "memory", "long-term memory", "persistent memory", "agent memory", "remember across sessions", "context window", "agent forgets", "user preferences", "personalization", "RAG over conversations", "multi-tenant memory", "memory layer", "Mem0", "Zep", "Letta", "SuperMemory", "Cognee", or asks how to integrate memory into LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, Pydantic AI, CrewAI, AutoGen, Google ADK, Haystack, Agno, Semantic Kernel, Microsoft Agent Framework, NVIDIA NeMo, LiveKit, Pipecat, Claude Agent SDK, Mastra, Vercel AI SDK, or MCP (no-code). Also trigger on direct mentions of "Synap", "Maximem", "maximem-synap", or `synap-*` package names. Covers SDK setup, scoping (User/Customer/Client), ingestion, retrieval, and one drop-in package per framework.