232 skills · sorted by relevance
Build data processing pipelines for machine learning, from preprocessing to batch predictions. Uses Ray Data to handle datasets larger than memory, distribute work across CPUs and GPUs, and feed data into training frameworks.
Build data processing pipelines for machine learning, from preprocessing to batch predictions. Uses Ray Data to handle datasets larger than memory, distribute work across CPUs and GPUs, and feed data into training frameworks.
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.
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Authentication & Authorization Implementation Patterns workflow skill. Use this skill when the user needs Build secure, scalable authentication and authorization systems using industry-standard patterns and modern best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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Authentication & Authorization Implementation Patterns workflow skill. Use this skill when the user needs Build secure, scalable authentication and authorization systems using industry-standard patterns and modern best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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Authentication & Authorization Implementation Patterns workflow skill. Use this skill when the user needs Build secure, scalable authentication and authorization systems using industry-standard patterns and modern best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
The English summary is being prepared. Showing the original description.
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.
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Create clear educational diagrams for scientific concepts, physical structures, workflows, and data. Output SVG, a scalable vector image format, inside one standalone HTML file with consistent styling and automatic light and dark modes.
Turn a system description into a dark-themed architecture diagram in a single HTML file. It uses SVG, a scalable graphics format, to show components, connections, cloud boundaries, and security flows in a browser.
Create static SVG diagrams, scalable images for lessons, READMEs, and manuals. It uses real system names, nine diagram types, and consistent colors and arrows, with checks for readable labels, accessible descriptions, and valid markup.
Build reusable interface components with Tailwind CSS v4, using shared design values for colors, corners, and themes. Covers buttons, forms, responsive layouts, accessibility, and dark mode to help standardize interfaces across a project.
Create a Dubai weather card from a supplied temperature and unit. The skill writes an SVG, a scalable image format, and a Markdown summary to designated files, preserving the provided temperature exactly.
Organize PyTorch models and data pipelines with PyTorch Lightning, automate training, save checkpoints, and track experiments. Includes templates and guidance for configuring training across multiple GPUs or TPUs.
Plan backend architecture using Clean Architecture, Hexagonal Architecture, or Domain-Driven Design. Clarify business boundaries, choose a suitable structure, define how modules depend on each other, and outline migration steps and validation checks.
Design REST or GraphQL APIs by defining who will use them, what data they expose, and how requests behave. Establish error formats, versioning, pagination, and authentication, then review examples for consistency before implementation.
Build consistent interface foundations with design tokens, named values for colors, spacing, and typography. Covers light and dark themes, multiple brands, reusable components, and workflows that keep design definitions aligned with application code.
Set up and maintain a monorepo, a single repository containing multiple apps and packages. Use Turborepo, Nx, and pnpm workspaces to organize shared code, manage dependencies, improve builds, and plan package releases.
Build a consistent interface foundation with Tailwind CSS v4 using shared design values and reusable components. Covers responsive layouts, dark mode, accessibility, and component variations to help standardize UI patterns across a codebase.
Design and review REST and GraphQL APIs with consistent naming, data structures, error responses, pagination for large result sets, and versioning strategies. Helps teams define shared standards and plan changes that existing clients can adopt gradually.
Design separate paths for updating and reading data using CQRS, an approach that splits these responsibilities. Organize read models, event handling, and validation to support complex queries and scale reads independently from writes.
Plan and implement user login and access permissions using sessions, JWT tokens, or OAuth2. Apply role-based permissions, protect APIs, and review common weaknesses in password handling, cookies, token expiration, and server-side checks.
Build GitLab workflows that automate building, testing, and deployment. The skill covers pipeline stages, dependency caching, runners that execute jobs, and manual approval before production deployment, with examples for Docker, Kubernetes, and Terraform.
Design a database layer from business requirements, access patterns, and expected growth. Compare database technologies, define tables and relationships, and plan indexes, caching, scaling, migrations, backups, and recovery with clear reasons and trade-offs.
Plan backend systems with clear module boundaries and dependency rules. This skill helps select architecture patterns, organize business logic, and outline migration steps for systems that are easier to maintain and test.