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Claude Skills by majiayu000
github.com/majiayu00015,502 skills856 installs32,980 views
- Dbt ArtifactsThis skill enables AI agents to help users monitor dbt execution using the brooklyn-data/dbt_artifacts package. The package captures detailed execution metadata during dbt runs and stores it in queryable tables for analysis and monitoring.Votes: 0GitHub stars: 666
- Dbt Coderdbt (data build tool) patterns for model organization, incremental strategies, and testing.Votes: 0GitHub stars: 666
- Dbt CommandsTransform AI agents into experts on dbt command-line operations, model selection patterns, Jinja templating, and troubleshooting techniques for efficient dbt development and debugging.Votes: 0GitHub stars: 666
- Dbt CoreGuide AI agents through a systematic, user-choice-driven installation process for dbt-core on local machines. The agent runs diagnostic scripts, presents options to users, and executes non-interactive installation scripts based on user preferences.Votes: 0GitHub stars: 666
- Dbt DevelopmentPROACTIVE skill - STOP and invoke BEFORE writing dbt SQL. Validates models against coding conventions for staging, integration, and warehouse layers. Covers naming, SQL structure, field conventions, testing, and documentation. CRITICAL - When about to write .sql files in models/, invoke this skill first, write second. Supports project-specific convention overrides and sqlfluff integration.Votes: 0GitHub stars: 666
- Dbt Expertdbt best practices for models, tests, documentation, and project organization.Votes: 0GitHub stars: 666
- Dbt MaterializationsTransform AI agents into experts on dbt materializations, providing guidance on choosing the right materialization strategy based on model purpose, size, update frequency, and query patterns, plus implementation details for each type including advanced features like snapshots and Python models.Votes: 0GitHub stars: 666
- Dbt Migration BigqueryTransform Google BigQuery DDL (views, tables, stored procedures) into production-quality dbt models compatible with Snowflake, maintaining the same business logic and data transformation steps while following dbt best practices.Votes: 0GitHub stars: 666
- Dbt Migration Db2Transform IBM DB2 DDL (views, tables, stored procedures) into production-quality dbt models compatible with Snowflake, maintaining the same business logic and data transformation steps while following dbt best practices.Votes: 0GitHub stars: 666
- Dbt Migration HiveTransform Hive/Spark/Databricks DDL (views, tables, UDFs) into production-quality dbt models compatible with Snowflake, maintaining the same business logic and data transformation steps while following dbt best practices.Votes: 0GitHub stars: 666
- Dbt Migration Ms Sql ServerTransform SQL Server/Azure Synapse T-SQL DDL (views, tables, stored procedures) into production-quality dbt models compatible with Snowflake, maintaining the same business logic and data transformation steps while following dbt best practices.Votes: 0GitHub stars: 666
- Dbt Migration OracleTransform Oracle DDL (views, tables, stored procedures, packages) into production-quality dbt models compatible with Snowflake, maintaining the same business logic and data transformation steps while following dbt best practices.Votes: 0GitHub stars: 666
- Dbt Migration PostgresTransform PostgreSQL/Greenplum/Netezza DDL (views, tables, stored procedures) into production-quality dbt models compatible with Snowflake, maintaining the same business logic and data transformation steps while following dbt best practices.Votes: 0GitHub stars: 666
- Dbt Migration RedshiftTransform Amazon Redshift DDL (views, tables, stored procedures) into production-quality dbt models compatible with Snowflake, maintaining the same business logic and data transformation steps while following dbt best practices.Votes: 0GitHub stars: 666
- Dbt Migration SnowflakeTransform Snowflake DDL (views, tables, stored procedures) into production-quality dbt models, maintaining the same business logic and data transformation steps while following dbt best practices.Votes: 0GitHub stars: 666
- Dbt Migration SybaseTransform Sybase IQ DDL (views, tables, stored procedures) into production-quality dbt models compatible with Snowflake, maintaining the same business logic and data transformation steps while following dbt best practices.Votes: 0GitHub stars: 666
- Dbt Migration TeradataTransform Teradata DDL (views, tables, stored procedures) into production-quality dbt models compatible with Snowflake, maintaining the same business logic and data transformation steps while following dbt best practices.Votes: 0GitHub stars: 666
- Dbt Migration ValidationDefine and enforce validation rules for dbt models during migration. This skill provides comprehensive validation rules, common anti-patterns to detect, and auto-fix suggestions that are implemented by the validation hooks.Votes: 0GitHub stars: 666
- Dbt Migration VerticaTransform Vertica DDL (views, tables, stored procedures) into production-quality dbt models compatible with Snowflake, maintaining the same business logic and data transformation steps while following dbt best practices.Votes: 0GitHub stars: 666
- Dbt MigrationGuide AI agents through the complete migration lifecycle from Snowflake or legacy database systems (SQL Server, Oracle, Teradata, etc.) to production-quality dbt projects on Snowflake. This skill defines a structured, repeatable process while delegating platform-specific syntax translation to dedicated source-specific skills.Votes: 0GitHub stars: 666
- Dbt Model BuilderCreate dbt models following FF Analytics Kimball patterns and 2×2 stat model. This skill should be used when creating staging models, core facts/dimensions, or analytical marts. Guides through model creation with proper grain, tests, External Parquet configuration, and per-model YAML documentation using dbt 1.10+ syntax.Votes: 0GitHub stars: 666
- Dbt Model WriterWrites, edits, and creates dbt models following best practices. Use when user needs to create new dbt SQL models, update existing models, or convert raw SQL to dbt format. Handles staging, intermediate, and mart models with proper config blocks, CTEs, and documentation.Votes: 0GitHub stars: 666
- Dbt ModelingTransform AI agents into experts on writing production-quality dbt models, providing guidance on CTE patterns, SQL structure, and best practices for creating maintainable and performant data models across all medallion architecture layers.Votes: 0GitHub stars: 666
- Dbt PatternsComprehensive guide to dbt (data build tool) patterns, modeling best practices, testing strategies, and production workflows for modern data transformationVotes: 0GitHub stars: 666
- Dbt PerformanceTransform AI agents into experts on dbt and Snowflake performance optimization, providing guidance on choosing optimal materializations, leveraging Snowflake-specific features, and implementing query optimization patterns for production-grade performance.Votes: 0GitHub stars: 666
- Dbt Projects On SnowflakeDeploy, manage, and monitor dbt projects natively within Snowflake using web-based workspaces, schema-level DBT PROJECT objects, and comprehensive event table telemetry.Votes: 0GitHub stars: 666
- Dbt Projects Snowflake SetupComplete step-by-step guide for setting up dbt Projects on Snowflake from beginning to end.Votes: 0GitHub stars: 666
- Dbt Semantic Layer DeveloperProvides expert-level assistance with dbt Semantic Layer, MetricFlow, semantic models, metrics, dimensions, entities, measures, and BI tool integrations. Use this skill when building semantic models, creating metrics (simple, ratio, cumulative, derived, conversion), debugging validation errors, or integrating with BI tools. Extracted from official dbt documentation and optimized for data practitioners.Votes: 0GitHub stars: 666
- Dbt SkillALWAYS USE when working with dbt models, SQL transformations, tests, snapshots, or macros. Use IMMEDIATELY when editing dbt_project.yml, profiles.yml, or creating SQL models. MUST be loaded before any transform-layer work. Enforces dbt owns SQL principle - never parse, validate, or transform SQL in Python.Votes: 0GitHub stars: 666
- Dbt TestingTransform AI agents into experts on dbt testing strategies, providing guidance on implementing comprehensive data quality checks with database-enforced constraints, generic tests, and custom singular tests to ensure data integrity across all layers.Votes: 0GitHub stars: 666
- Dbtdbt with TD Trino. Covers profiles.yml setup (method:none, user:TD_API_KEY), required override macros (no CREATE VIEW), TD_INTERVAL in models, and TD Workflow deployment.Votes: 0GitHub stars: 666
- DbusExpert in D-Bus IPC (Inter-Process Communication) on Linux systems. Specializes in secure service communication, method calls, signal handling, and system integration. HIGH-RISK skill due to system service access and privileged operations.Votes: 0GitHub stars: 666
- Dcf BuilderBuild defensible DCF models with cited sources, Excel export, and sensitivity analysisVotes: 0GitHub stars: 666
- DdDisk cloning, benchmarking, and file conversion tool with progress monitoring options.Votes: 0GitHub stars: 666
- Ddd Api GeneratorGenerate REST API endpoints with class-validator DTOs, routing-controllers decorators, and complete Swagger docs. Use when creating API endpoints for existing use cases, adding routes, or building custom API actions (e.g., "Create user API", "Generate product endpoints").Votes: 0GitHub stars: 666
- Ddd ArchitectEnsure code follows DDD architecture and DAL separation for both frontend and backend. Triggers: DDD, arch, 架構, 新功能, 新模組, new feature, scaffold, 骨架, domain, layer, 分層, structure, 結構, backend, frontend, React, Vue, Python, TypeScript, 前端, 後端, component, 元件.Votes: 0GitHub stars: 666
- Ddd Architectureドメイン駆動設計（DDD）に準拠したバックエンドコードを書くためのスキルです。Votes: 0GitHub stars: 666
- Ddd Bounded ContextGénère des bounded contexts DDD complets avec architecture en couches (Domain, Application, Infrastructure, Presentation). À utiliser lors de la création de nouvelles features backend, bounded contexts, domain entities, ou quand l'utilisateur mentionne "DDD", "bounded context", "domain model", "clean architecture", "layered architecture".Votes: 0GitHub stars: 666
- Ddd CheckDDD設計原則チェッカー（AIDLC ドキュメントと実装コードの一貫性を検証）Votes: 0GitHub stars: 666
- Ddd Clean Architecture AdvisorApply Domain-Driven Design, Clean Architecture, CQRS, and command/query patterns to code reviews and feature design. Use when analyzing or designing code in Application, Service, Infrastructure, DataAccess, Validation, Domain, or Functions projects, or when addressing architectural concerns, layering, mapping, entities, value objects, repositories, or validators in the Rome Repair Order Service.Votes: 0GitHub stars: 666
- Ddd Context GeneratorGenerate complete DDD bounded context with all 4 layers (Domain, Application, Infrastructure, Presentation). Use when user wants to create new business capability, scaffold complete context with CRUD, or build full feature from scratch (e.g., "Create Order context", "Generate Product context with inventory").Votes: 0GitHub stars: 666
- Ddd Da MassaPractical DDD patterns for Jakarta EE web applications with cognitive load distribution. Use when designing controllers, entities, services, or evaluating cohesion and load balance.Votes: 0GitHub stars: 666
- Ddd Domain ExpertStrategic and Tactical expertise in Gravito DDD. Trigger this for complex domains requiring Bounded Contexts, Aggregates, and Event-Driven architecture.Votes: 0GitHub stars: 666
- Ddd Entity GeneratorGenerate domain layer components (entities, value objects, repository interfaces, events, errors). Use when adding entities to existing context, creating value objects for validation, or defining domain-specific errors (e.g., "Create Product entity with Price VO", "Add Customer with Email").Votes: 0GitHub stars: 666
- Ddd FeatureUse when creating new domain features or adding new business capabilities. Triggers on requests to "create feature", "add new domain", "new module", "scaffold feature", or when implementing complete business features.Votes: 0GitHub stars: 666
- Deploying AppPrepares applications for production by generating Dockerfiles, CI/CD pipelines, and platform configurations. Supports Docker, Vercel, Netlify, and GitHub Actions.Votes: 0GitHub stars: 666
- Deploying K8s ServicesDeploys new containerized services to the Superbloom K3s cluster using Flux GitOps with bjw-s app-template, Authelia forward auth, Caddy reverse proxy, and DDNSVotes: 0GitHub stars: 666
- Deploying Production MigrationsDeploy migrations to production safely using migrate deploy in CI/CD. Use when setting up production deployment pipelines.Votes: 0GitHub stars: 666
- Deploying Public AppsDeploys public-facing apps that handle their own authentication (like Jellyfin, game servers) without Authelia forward authVotes: 0GitHub stars: 666
- Deploying To AwsSpecialized skill for deploying Next.js applications to AWS using SST (Serverless Stack) or Vercel, with DynamoDB integration, IAM configuration, and infrastructure as code. Use when setting up AWS resources or deploying production applications.Votes: 0GitHub stars: 666