Skill UI

A comprehensive workflow bundle covering the entire cloud-native development lifecycle. It guides users through critical phases, including cloud infrastructure setup (AWS, Azure, GCP, Terraform IaC), container orchestration with Kubernetes, robust CI/CD pipeline automation, observability implementation, security hardening, cost optimization, and disaster recovery planning. This ensures best practices across all stages of modern application deployment.

A comprehensive checklist for securely deploying and validating applications using Firecrawl's core APIs (scrape, crawl, map, extract) in a production environment. It covers critical areas including secure credential management, implementing crawl safety limits, robust error handling (rate limits, authentication failures), establishing monitoring alerts, and executing necessary rollback procedures.

A comprehensive guide detailing how to implement declarative, Git-based continuous delivery for Kubernetes. It covers setup using industry-leading tools like ArgoCD and Flux CD, adhering to OpenGitOps principles for automated, reliable, and traceable application deployments and infrastructure management.

A comprehensive guide for safely migrating monolithic or aging codebases. It details incremental modernization strategies, dependency mapping, and the implementation of the Strangler Fig pattern. Learn how to build safety nets using characterization tests, manage rollouts with feature flags, and achieve zero-downtime refactoring to reduce technical debt without business disruption.

This skill provides a comprehensive framework for monitoring Mistral AI API usage in production. It includes an instrumented client wrapper (TypeScript) to automatically capture critical metrics like latency, token consumption, cost, and error rates. Furthermore, it integrates with Prometheus for metric storage and Grafana for visualization, allowing users to set up sophisticated alerting rules for performance degradation, rate limiting, or cost spikes.

Provides a comprehensive monitoring solution for the Perplexity Sonar API. It tracks critical performance metrics, including latency (p95), cost per query, error rates, and citation quality. This skill is essential for implementing production monitoring dashboards, configuring proactive alerts (e.g., high latency, zero citations), and ensuring the API's stability and high-quality output in real-world applications.

A comprehensive guide covering the complete setup of Prometheus, including metric collection strategies, advanced scrape configuration (static, file-based, Kubernetes), defining recording rules, and integrating with AlertManager and Grafana. Use this skill to establish robust monitoring for applications and infrastructure.

A comprehensive guide for designing and managing document control systems for ISO 13485-compliant Quality Management Systems (QMS), specifically tailored for the medical device industry. This resource covers document numbering, version control, change management workflows, approval processes, and ensures compliance with rigorous standards like 21 CFR Part 11, including electronic signatures and audit trails.

A comprehensive, step-by-step guide for deploying applications on Replit to production environments. It covers crucial best practices, including configuring deployment settings, managing environment secrets, implementing robust health checks, handling global errors, setting up custom domains, and defining rollback strategies. Essential for developers preparing an app for a live launch or scaling up.

Master systematic methodologies for using Shodan to perform deep reconnaissance during penetration testing. This skill covers querying exposed services, mapping assets, identifying vulnerable systems (CVEs), and utilizing advanced filters for IP ranges, geographical locations, and organizational data. Ideal for security researchers and ethical hackers.

This skill maps identified security threats to appropriate controls and mitigation strategies. It is essential for prioritizing security investments, building comprehensive remediation roadmaps, validating existing control coverage, and performing detailed risk treatment planning. It helps organizations design robust, defense-in-depth security architectures.

This guide provides comprehensive methods for load testing and capacity planning of Vercel serverless deployments. Learn how to use professional tools like k6 and autocannon to simulate realistic traffic spikes, measure latency (P95, P99), analyze cold start impact, and tune concurrency settings (Fluid Compute) to ensure optimal application performance and scalability under heavy load.