Skill UI

Guides REST API teams on naming resources, versioning, pagination, OpenAPI specs, error handling, headers, and rate limiting to keep services consistent, scalable, and client-friendly.

Guides REST and GraphQL API architects through domain modeling, OpenAPI 3.1 contract drafting, pagination, versioning, error handling, and mock verification.

A comprehensive guide to modern API design principles and architectural decision-making. Learn how to select the right pattern (REST, GraphQL, tRPC), implement robust versioning strategies, handle pagination, define standardized response formats, and incorporate essential security measures like authentication and rate limiting. Essential for building scalable and reliable backend services.

This comprehensive SDK provides the .NET framework bindings to manage the Azure API Center service. It enables centralized API inventory management, governance, versioning, and lifecycle control (creation, definition upload, environment deployment). Ideal for building robust, scalable API management pipelines within the Azure ecosystem.

Guides REST and GraphQL API creation with endpoint planning, versioning, auth, rate limits, error handling, pagination, and OpenAPI docs to keep designs consistent when building or reviewing services.

Transforms OpenAPI specifications into comprehensive, interactive documentation sites. This skill generates runnable code examples (cURL, Python, JS, Go), detailed authentication guides, error references, and supports versioning. It is crucial for building professional developer portals that guide users through API usage seamlessly.

This comprehensive guide covers the entire MLOps lifecycle, specializing in building robust, scalable, and production-grade Machine Learning systems. Expertise includes orchestrating complex ML pipelines using Kubeflow, Airflow, Prefect, and cloud-native services (AWS SageMaker, Azure ML, GCP Vertex AI). It covers experiment tracking (MLflow, W&B), model versioning, model registries, infrastructure as code (Terraform), and container deployment using Kubernetes. Ideal for engineers tasked with moving ML models from research to reliable, managed production environments.

This comprehensive deep dive guides you through the entire database migration lifecycle using the Supabase CLI. Learn best practices for executing zero-downtime schema changes, safely backfilling data in production, managing schema versioning across environments, and implementing robust rollback strategies. Covers advanced PostgreSQL concepts like concurrent indexing and multi-phase column renaming.

This skill provides a comprehensive guide to implementing robust API versioning strategies, supporting methods like URL path, custom headers, and query parameters. It covers building backward compatibility layers, adding standard deprecation notices (e.g., Sunset Header), and utilizing OpenAPI specifications to detect breaking changes, ensuring stable API evolution over time.

Automated versioning strategy helper that activates on API development requests, guiding best practices, code/config generation, and validation for REST, GraphQL, OpenAPI, authentication, and API design patterns.

This skill provides expert guidance on treating prompts as first-class infrastructure. It covers prompt registry design, systematic versioning, A/B testing, and building comprehensive evaluation pipelines. It ensures that prompt changes are rigorously tested and deployed safely, preventing quality regressions in production AI features at scale.

This skill structures Git workflow practices for managing code changes effectively. It covers committing, branching, resolving conflicts, and organizing work across parallel streams. Use it when making commits, opening pull requests, cutting releases, or writing changelogs. It emphasizes trunk-based development, atomic commits, and descriptive messages to keep changes manageable, reviewable, and reversible for engineering teams.