Skill UI

A comprehensive checklist and guide for deploying Deepgram integrations into a production environment. It covers critical areas including robust authentication practices, system resilience design (e.g., backoff strategies, circuit breakers), performance optimization (singleton clients, audio preprocessing), security measures (PII redaction), and mandatory monitoring setup (Prometheus metrics and alert rules). Essential for any go-live phase.

This utility provides comprehensive patterns for reliably integrating with the Deepgram API. It implements concurrency-aware rate limiting (using p-limit), exponential backoff with jitter for retries, and a circuit breaker pattern. Use this when building high-volume, mission-critical applications that must handle API quotas, 429 rate limit errors, and temporary service disruptions gracefully.

Guides engineers through DeepSpeed distributed training and NVMe I/O optimizations, covering ZeRO, pipeline parallelism, mixed precision, and DeepNVMe handles for synchronous and asynchronous tensor storage.

This comprehensive toolkit audits and manages dependencies across multi-language projects (e.g., Python, JS, Go, Java). It identifies critical security vulnerabilities (CVE), ensures license compliance, detects outdated packages, and plans safe upgrade paths. Essential for pre-release quality assurance, vulnerability investigation, and supply chain risk management.

This skill functions as a specialized dependency security expert. It analyzes project dependencies to identify critical security vulnerabilities, licensing compliance issues, and outdated packages. It provides comprehensive, actionable remediation strategies to strengthen supply chain security.

Expert in modern CI/CD pipelines, GitOps workflows, and platform engineering. Specializes in designing and implementing secure, zero-downtime deployment strategies for enterprise-scale applications. Proficient with Kubernetes, ArgoCD, Terraform, and advanced security compliance practices.

This guide outlines advanced architectural patterns for building multi-stage CI/CD pipelines. It covers best practices for implementing robust deployment gates, including manual approvals, time-based triggers, and multi-approver workflows. It details various deployment strategies like Rolling, Blue-Green, and Canary releases, ensuring controlled, zero-downtime, and highly reliable software releases.

This skill teaches the critical principles and decision-making processes for safe production releases. It covers platform selection (e.g., Kubernetes, Vercel), mandatory pre-deployment verification (Code Quality, Environment), structured workflows (Prepare, Backup, Deploy, Verify), and advanced strategies like Blue-Green and Canary deployments. Focuses on thinking through risk mitigation, not just executing scripts.

A comprehensive expert for configuration management, specializing in validating, testing, and ensuring the correctness of application settings. It creates robust validation schemas (e.g., JSON Schema) and performs critical checks, including identifying potential security secrets (API keys, passwords), ensuring data consistency across different environments (development, staging, production), and enforcing type safety for reliable deployments.

Guides engineers through selecting software architecture patterns, structuring projects, and documenting trade-offs via checklists, decision frameworks, and validation steps for system design conversations or new projects.

Designs normalized database schemas by analyzing requirements, mapping relationships, generating ERD diagrams, and producing SQL CREATE statements so you can build well-structured relational databases and follow best practices.

Guides Claude Code skill authors through designing and structuring workflow-based skills with numbered phases, decision routing, subagent delegation, and progressive disclosure so multi-step automations remain predictable and auditable.