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Found 1,702 Skills
Generate mock data and test fixtures from schemas
Generate Go GORM models following Pingo modular architecture conventions. Use when creating or updating persistence models in internal/modules/<module>/model/, including table mapping, nullable SQL types, timestamps, and relation fields for identity and monitor modules.
Run integration tests for component interactions
Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.
DB DDL/마이그레이션 생성 전문가. "테이블 만들어줘", "DB 스키마 생성", "마이그레이션 생성" 키워드로 트리거. PRD 문서 또는 테이블 구조를 입력받아 dbmate 마이그레이션 파일 생성.
Actian integration. Manage data, records, and automate workflows. Use when the user wants to interact with Actian data.
Design, tune, or review EF Core data access with proper modeling, migrations, query translation, performance, and lifetime management for modern .NET applications.
Use when designing APIs, Architecture, Security, or Scalability for Node, Python, Go, or Java backend systems.
[Pragmatic DDD Architecture] Guide for creating PostgreSQL tables and defining relations using Drizzle ORM. Use when creating new schemas, managing PostgreSQL indexes, enums, mapping column names to camelCase for the domain, and explicitly exporting constraint names.
Design, review, and refactor Neo4j graph data models. Use when choosing node labels vs relationship types vs properties, migrating relational/document schemas to graph, detecting anti-patterns (generic labels, supernodes, missing constraints), designing intermediate nodes for n-ary relationships, enforcing schema with constraints and indexes, or assessing an existing model against graph modeling best practices. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle Spring Data Neo4j entity mapping — use neo4j-spring-data-skill. Does NOT handle GraphQL type definitions — use neo4j-graphql-skill. Does NOT handle data import — use neo4j-import-skill.
Performance Profiler