oracle
Deep planning via Oracle CLI (GPT-5.2 Codex). Use for complex tasks requiring extended thinking (10-60 minutes). Outputs plan.md for planner to transform into specs.
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Deep planning via Oracle CLI (GPT-5.2 Codex). Use for complex tasks requiring extended thinking (10-60 minutes). Outputs plan.md for planner to transform into specs.
Airflow DAG patterns, KubernetesPodOperator, and debugging. Triggers on "dag", "airflow", "task", "operator", "KPO", "scheduler", "XCom".
Airflow DAG patterns, KubernetesPodOperator, and debugging. Use on 'dag', 'airflow', 'task', 'operator', 'KPO', 'scheduler', 'XCom'.
Streaming, pagination, count strategies, bulk operations
GraphQL API expert enforcing Schema-First design, Dataloaders for N+1 prevention, and strict Codegen workflows.
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queri...
Enforces project Drizzle ORM coding conventions when creating or modifying database queries, schemas, and migrations. This skill ensures consistent patterns for query structure, type safety, permission filterin...
Guide for writing Drasi continuous queries using Cypher. Use this when asked to create, modify, or troubleshoot Drasi queries.
Database schema migration patterns and best practices. Use when creating database migrations, implementing zero-downtime schema changes, version control for databases, or managing data migrations.
Expert guidance on Supabase/PostgreSQL implementation for RAG, including pgvector semantic search and full-text search.
Analyzes database schemas and suggests improvements for Prisma, TypeORM, or Drizzle. Use when the user asks about database schema, migrations, ORM setup, or wants to generate TypeScript types from database mode...
Expert guidance for enterprise resource planning systems, business logic, domain modeling, and ERP integration patterns. Use when building ERP systems, implementing business workflows, or integrating with ERP p...
Domain specialist for data persistence, database design, query optimization, and data modeling. Scope: SQL injection prevention, indexing strategies, normalization, migrations, scaling, backup/recovery, ORM pat...
Эксперт по data annotation. Используй для ML labeling, annotation workflows и quality control.
Эксперт Airbyte. Используй для настройки ETL/ELT пайплайнов, коннекторов, синхронизации данных и data pipelines.
Эксперт AWS Kinesis. Используй для stream processing, real-time data и Kinesis patterns.
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queri...
Production-ready Supabase database schemas for customers, subscriptions, payments, invoices, and webhook events with comprehensive Row Level Security policies. Use when setting up payment infrastructure, creati...
Database schema validation tools - SQL syntax checking, constraint validation, naming convention enforcement, and schema integrity verification. Use when validating database schemas, checking migrations, enforc...
End-to-end testing scenarios for Supabase - complete workflow tests from project creation to AI features, validation scripts, and comprehensive test suites. Use when testing Supabase integrations, validating AI...
Result backend configuration patterns for Celery including Redis, Database, and RPC backends with serialization, expiration policies, and performance optimization. Use when configuring result storage, troublesh...
Production-ready database schema patterns for AI applications including chat/conversation schemas, RAG document storage with pgvector, multi-tenant organization models, user management, and AI usage tracking. U...
AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inlin...
Scaffold new DLT pipeline for data ingestion to MotherDuck
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。