By wshobson
Implement data quality validation pipelines using Great Expectations, dbt tests, and data contracts, with metrics monitoring and CI/CD automation.
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Dependency auditing, version management, and security vulnerability scanning
SAST analysis, dependency vulnerability scanning, OWASP Top 10 compliance, container security scanning, and automated security hardening
Database architecture, schema design, and SQL optimization for production systems
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
npx claudepluginhub p/wshobson-wshobson-data-quality-frameworks-plugins-data-engineering-skills-data-quality-frameworksMaster dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Skills collection covering data engineering workflows, pipelines, infrastructure, and tools for Claude Code.
Spec-Driven Development framework for Data Engineering — 58 agents, 24 KB domains, 5-phase SDD workflow, 31 commands
DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup skills
Data engineering and ETL tools. Includes 3 specialized agents, 4 commands, and 19 skills.
Data engineering agents providing expertise in ETL pipelines, streaming, and data warehousing