Skill UI

A comprehensive toolset for the full backend development lifecycle. This suite enables developers to scaffold API routes from OpenAPI specifications, manage complex database migrations and optimization (PostgreSQL), and perform rigorous load/performance testing. It supports building robust microservices, securing REST APIs, and ensuring system scalability.

This comprehensive guide details the expertise needed for a Senior Data Engineer. It covers building, optimizing, and governing scalable data pipelines and robust ETL/ELT systems using modern tools like Spark, Kafka, Airflow, and dbt. Includes decision frameworks for architecting data solutions (Batch vs Streaming, Lakehouse vs Warehouse) and implementing advanced data modeling patterns.

A comprehensive guide to integrating Sentry into continuous integration and continuous deployment (CI/CD) pipelines (e.g., GitHub Actions, GitLab CI, CircleCI). This skill automates complex tasks such as creating releases, uploading source maps for readable stack traces, associating commits, and tracking deployment environments, ensuring rapid and accurate debugging of production errors.

Provides structured guidance to audit site crawlability, indexing, technical foundations, on-page elements, and content quality so you can diagnose SEO issues, prioritize fixes, and improve organic visibility for marketing or product sites.

A comprehensive guide covering the principles of production-grade server management. Topics include process control (PM2, systemd), advanced monitoring strategies (Grafana, metrics), structured logging, scaling decisions (horizontal/vertical), and security best practices. It teaches systematic thinking for ensuring high availability, reliability, and scalability in complex systems.

Serve production-grade LLM APIs with vLLM, leveraging PagedAttention, continuous batching, quantization, and tensor parallelism to maximize throughput while keeping latency, GPU usage, and scalability under control for OpenAI-compatible deployments.

Automates deployment and configuration of ELK, Loki, or Splunk log aggregation platforms by gathering requirements, crafting secure scalable configs, and producing deployment code for observability needs.

Automates setting up synthetic monitoring by defining critical endpoints, crafting uptime, transaction, and API scenarios, and configuring alerts/dashboards to keep application performance and availability under proactive watch.

Automates Claude skill creation by scaffolding directories, validating metadata, packaging assets, and posting summaries to Slack channels for collaborative team workflows.

This framework provides a comprehensive methodology for defining, measuring, and implementing Service Level Indicators (SLIs), Service Level Objectives (SLOs), and managing error budgets. It helps engineering teams quantify service reliability (e.g., availability, latency) and establish clear, measurable targets (SLOs). By tracking error budgets, teams can strategically balance rapid feature development (innovation velocity) against maintaining high system stability and reliability.

This skill guides the configuration of Speak for enterprise environments, such as schools and large organizations. It covers implementing Role-Based Access Control (RBAC), setting up Single Sign-On (SSO), managing diverse roles (teacher/student), handling class management, and establishing usage reporting. This setup is essential for deploying a secure, scalable language learning platform tailored for institutional use.

This guide provides the complete, production-grade reference architecture for integrating the Speak language learning platform. It covers all necessary components, including the client, API gateway, assessment engine, and progress store. Use this blueprint to ensure a robust, scalable, and reliable implementation for managing large-scale language learning operations.