Bases de dades
Gestió i consultes de bases de dades
qa-scout
twentyhq
Browser QA of a PR against a running Twenty app, post-merge on main or pre-merge via the qa-scout label. Derives user-visible scenarios from the PR diff, executes them with the Playwright MCP browser, attests database effects over SQL, watches server and worker logs for swallowed errors, and writes a structured verdict plus a report. Invoked by ci-e2e-main.yaml after the deterministic e2e suite; also runnable locally against a dev stack.
backend-patterns
affaan-m
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes. Use when building or reviewing Node.js, Express, or Next.js API routes and their data access.
database-migrations
affaan-m
Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate). Use when writing a schema or data migration, planning a rollback, or aiming for zero-downtime deployment.
pubmed-database
affaan-m
Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring. Use when a task needs biomedical literature from PubMed rather than general web search.
postgres-patterns
affaan-m
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices. Use when designing PostgreSQL schemas, indexes, or RLS policies, or when a query is too slow.
clickhouse-io
affaan-m
ClickHouse数据库模式、查询优化、分析以及高性能分析工作负载的数据工程最佳实践。
hexagonal-architecture
affaan-m
Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services. Use when introducing or refactoring toward Ports and Adapters, or when domain logic has become entangled with I/O.
jpa-patterns
affaan-m
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot. Use when designing JPA entities or relationships, or when a Hibernate query, transaction, or N+1 problem needs fixing.
prisma-patterns
affaan-m
Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion. Use when writing a Prisma schema or query, or debugging transactions, migrations, or serverless connection limits.
clickhouse-io
affaan-m
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads. Use when writing ClickHouse schemas or queries, or when an analytical query is too slow.
bm-orient
basicmachines-co
Orient Claude from Basic Memory before substantial repo work by reading active tasks, open decisions, recent checkpoints, and repo conventions. Use when resuming old work or when the user asks where things stand.
AgentDB Vector Search
Microck
"Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases."
AgentDB Memory Patterns
Microck
"Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants."
tanstack-query
tenequm
Master TanStack Query (React Query) v5 for server state management in React applications. Use when fetching data from APIs, managing server state, caching, handling mutations, streaming AI responses, or integrating with tRPC v11. Triggers on phrases like "react query", "tanstack query", "data fetching", "cache management", "server state", "streamed query", "streaming data", or file patterns like query.ts, Query.tsx, queryClient.ts.
ReasoningBank with AgentDB
ruvnet
"Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems."
supabase
supabase
"Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, declarative schemas, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector); debugging and troubleshooting errors or unexpected behavior on Supabase projects (HTTP errors, Postgres errors, RLS surprises, permission denied, schema cache issues, timeouts, Edge Function crashes, Realtime drops, Storage failures) and reading or querying logs (Logs Explorer, ClickHouse)."
designing-distributed-systems
ancoleman
When designing distributed systems for scalability, reliability, and consistency. Covers CAP/PACELC theorems, consistency models (strong, eventual, causal), replication patterns (leader-follower, multi-leader, leaderless), partitioning strategies (hash, range, geographic), transaction patterns (saga, event sourcing, CQRS), resilience patterns (circuit breaker, bulkhead), service discovery, and caching strategies for building fault-tolerant distributed architectures.
architecting-data
ancoleman
Strategic guidance for designing modern data platforms, covering storage paradigms (data lake, warehouse, lakehouse), modeling approaches (dimensional, normalized, data vault, wide tables), data mesh principles, and medallion architecture patterns. Use when architecting data platforms, choosing between centralized vs decentralized patterns, selecting table formats (Iceberg, Delta Lake), or designing data governance frameworks.
storing-data
BuilderIO
How to store application data in agent-native apps. All data lives in SQL. Use when adding data models, deciding where to store data, or reading/writing application data.
performance
BuilderIO
Keep apps and templates loading fast. Read when adding a data model, a list/read action, a page or sidebar that loads data, or when something loads slowly, or when adding a dependency to the deployed server bundle. Covers column projection, indexing hot-path queries, avoiding N+1 and round-trip waterfalls, cheap polling, not recomputing on every read, and cold-start artifact size.
actions
BuilderIO
How to create and run agent actions. Actions are the single source of truth for app operations — the agent calls them as tools and frontend code calls them through client hooks. Use when creating a new action, adding an API integration, or wiring up frontend data fetching.
capture-learnings
BuilderIO
Capture and apply accumulated knowledge via structured memory. Use when the user gives feedback, shares preferences, corrects a mistake, or when you discover something worth remembering for future conversations.
deprecation-and-migration
addyosmani
Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when deciding whether to maintain or sunset existing code.
plugin-workflow
oh-my-dsh
Coordinate the complete DeepSeek Harness plugin lifecycle across inspection, host compatibility upgrades, tests, naming and central registry checks, packaging, release, and rollback. Use when a user wants one guided workflow, asks which plugin capabilities to run, requests a pre-run feature menu, or needs several DSH plugin Skills chained with a unified status report. Default to read-only discovery and require separate confirmation before repository writes, dependency or runtime execution, and external publication.