By bbrewington
Build dbt data models with dimensional patterns, staging/marts organization, and tests; deploy and manage Fly.io apps using Docker, fly.toml, volumes, secrets, and multi-region setups for Python/Node/Rails/Django; design services via customer journey maps, blueprints, and touchpoints; apply strategy frameworks like RICE, ICE, and Ansoff for prioritization and growth planning.
npx claudepluginhub bbrewington/software-data-and-ai-tools --plugin bbrewington-toolsUse when building dbt models, adding tests, or designing data models. Covers dimensional modeling, model organization (staging/intermediate/marts), testing patterns, and warehouse-specific configurations.
Deploy and manage applications on Fly.io platform with Docker containers and Fly Machines. Use when helping users deploy apps to Fly.io, create or modify fly.toml configuration files, set up Dockerfiles for deployment, manage Fly.io resources (databases, volumes, secrets), debug deployment issues, configure multi-region deployments, or work with Fly Launch commands (fly launch, fly deploy). Particularly relevant for Python/Node.js/Rails/Django apps, CI/CD with GitHub Actions, and global edge deployment scenarios.
Service design methodology for creating sustainable solutions and optimal experiences for both customers and service providers. Use when designing end-to-end service experiences, creating customer journey maps, building service blueprints, mapping service ecosystems, identifying touchpoints and pain points, designing frontstage/backstage interactions, or improving existing service delivery. Applicable to digital services, physical services, and hybrid product-service systems.
Reference for strategic frameworks and models used in product, business, and service strategy. Use when evaluating strategic alternatives, designing products or services, analyzing business models, mapping customer experiences, or conducting strategic planning. Includes frameworks for journey mapping, capability analysis, growth strategy, metrics design, opportunity prioritization, and value stream optimization.
Share bugs, ideas, or general feedback.
Repo to house notes and examples of how I work with different data tools (anything from Python to BigQuery to dbt...)
All write-ups are in the Wiki: https://github.com/bbrewington/data-tools/wiki
Curated agent skills collection for dbt workflows, helping AI agents understand and execute data transformation pipelines more effectively.
Editorial "Data & Analytics" bundle for Claude Code from Antigravity Awesome Skills.
Claude Code skill pack for Supabase (30 skills)
Use this agent when you need to optimize database performance for B2B applications at enterprise scale. This agent specializes in multi-tenant database optimization, query performance tuning, indexing strategies, connection pooling, and database scaling for SaaS platforms. Handles PostgreSQL, MySQL, MongoDB, and cloud database optimizations. Examples:
Automates browser interactions for web testing, form filling, screenshots, and data extraction
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.