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software-data-and-ai-tools
software-data-and-ai-tools contains 4 collected skills from bbrewington, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Use 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.