Skill UI

This comprehensive toolkit provides end-to-end DevOps automation capabilities. It scaffolds CI/CD pipelines (GitHub Actions, CircleCI), generates robust Infrastructure as Code (IaC) modules using Terraform for major clouds (AWS, GCP, Azure), and manages complex Kubernetes deployments (Blue/Green, Rolling). Ideal for automating infrastructure setup, application deployment, and drift management in multi-cloud environments.

Automates SNS topic configuration tasks within AWS, offering guidance, best practices, code generation, and validation for compute, storage, networking, and serverless scenarios.

Execute systematic SQL injection vulnerability assessments on web applications using reconnaissance, payload tuning, and exploitation workflows to uncover database flaws, capture evidence, and validate remediation recommendations for authorized security testing.

Automates AWS SQS queue setup by guiding users through best-practice architecture, configuration, and code output, triggering whenever someone asks about queue creation or patterns.

Offers automated AWS Step Functions workflow support, triggering on relevant requests to guide users through common patterns, best practices, and production-ready code plus configuration snippets validated against standards.

Scans Substrate/Polkadot FRAME pallets for seven critical vulnerabilities such as arithmetic overflow, panic DoS, incorrect weights, unsigned validation issues, bad randomness, and origin flaws, making it ideal for runtime audits and pre-launch security assessments.

This skill provides expert guidance on creating, reviewing, and managing production-grade AWS infrastructure using Terraform. It focuses on best practices for reusable module design, robust remote state management (S3 + DynamoDB), and adhering to modern HashiCorp Configuration Language (HCL) patterns like using 'for_each'. Ideal for teams building or auditing complex, scalable AWS environments.

Expert in implementing Infrastructure as Code (IaC) using Terraform across multi-cloud environments, including AWS, Azure, and GCP. Specializes in creating reusable, modular components, advanced state management (backends, locking, migrations), ensuring security best practices, and developing robust, production-grade cloud infrastructure pipelines.

A comprehensive collection of production-ready, reusable Terraform modules designed for standardized infrastructure provisioning across major cloud platforms: AWS, Azure, and GCP. This library enforces Infrastructure as Code (IaC) best practices, allowing users to build, test, and deploy multi-cloud compatible components efficiently and reliably.

This deep dive guides users through migrating complex GPU workloads, such as deep learning training pipelines, from major hyperscalers (AWS, GCP, Azure) or other cloud platforms to Vast.ai. It covers critical steps including cost comparison analysis, adapting Docker images for new environments, securely handling cloud credentials via environment variables, and implementing robust validation and rollback procedures to ensure a smooth transition.

This comprehensive guide details the process of migrating applications to Vercel from various platforms, including Netlify, AWS, and Cloudflare. It covers critical steps such as configuration mapping (e.g., netlify.toml to vercel.json), migrating serverless functions, setting up environment variables, implementing DNS cutovers, and validating feature parity using advanced techniques like the Strangler Fig pattern, ensuring a smooth and reliable transition.

Provides automated AWS VPC network design assistance, offering step-by-step guidance, best-practice checks, and production-ready configs whenever “vpc network designer” is mentioned.