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Use when assessing cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, or IaC security gaps. Covers AWS, Azure, and GCP posture assessment with MITRE ATT&CK mapping.

This computer vision engineering skill focuses on object detection, image segmentation, and visual AI systems, covering CNN and Vision Transformer architectures, detection/segmentation models like YOLO, Faster R-CNN, DETR, Mask R-CNN, SAM, and production deployment with ONNX/TensorRT, utilizing frameworks such as PyTorch and Ultralytics.

Designs GCP architectures for startups and enterprises. Covers Google Cloud infrastructure design, deployment to GKE or Cloud Run, BigQuery pipelines, cost optimization, and migration to GCP, including Cloud Functions and Cloud SQL.

25 advanced engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, and OpenClaw. Covers agent design, RAG, MCP servers, CI/CD, database design, observability, security auditing, release management, and platform ops.

Generate pragmatic CI/CD pipelines from detected project stack signals, offering fast baseline generation, repeatable checks, and environment-aware deployment stages. Use this for setting up CI for new projects, refactoring existing pipelines, or standardizing deployment workflows across multiple repositories.

This skill provides tools for zero-downtime migration planning, compatibility validation, and rollback strategy generation for system, database, and infrastructure migrations. Use it for high-risk transitions like database migrations or system replacements that require minimal business impact and explicit rollback paths.

Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. Zero-config serverless: no SSH, no Docker, auto scale-to-zero. Use when user says \"modal run\", \"modal training\", \"modal inference\", \"deploy to modal\", \"need a GPU\", \"run on modal\", \"serverless GPU\", or needs remote GPU compute.

Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. Zero-config serverless: no SSH, no Docker, auto scale-to-zero. Use when user says \"modal run\", \"modal training\", \"modal inference\", \"deploy to modal\", \"need a GPU\", \"run on modal\", \"serverless GPU\", or needs remote GPU compute.

Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling. Use when setting up CI/CD pipelines, containerizing applications, managing infrastructure as code, deploying to Kubernetes clusters, configurin

Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost optimization, disaster recovery, landing zones, security architecture, serverless desig

Use when building .NET 8 applications with minimal APIs, clean architecture, or cloud-native microservices. Invoke for Entity Framework Core, CQRS with MediatR, JWT authentication, AOT compilation.

Identifies security vulnerabilities, generates structured audit reports with severity ratings, and provides actionable remediation guidance. Use when conducting security audits, reviewing code for vulnerabilities, or analyzing infrastructure security. Invoke for SAST scans, penetration testing, DevSecOps practices, cloud security reviews, dependency audits, secrets scanning, or compliance checks.