Explore skills

Advisory for startups on engineering leadership, focusing on delivery throughput, hiring, team structure, and production discipline.

A 6-question interrogation for EU AI Act readiness, to be used during AI-system intake, before EU deployment, or for annual compliance refreshes as Article 113 obligations phase in.

Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.

Designs AWS architectures for startups using serverless patterns and IaC templates. Use for serverless architecture design, CloudFormation template creation, AWS cost optimization, CI/CD setup, or AWS migration, covering services like Lambda, API Gateway, and DynamoDB.

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.

23 engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more tools. Covers architecture, frontend, backend, QA, DevOps, security, AI/ML, data engineering, Playwright, Stripe, AWS, MS365, and 30+ Python tools (stdlib-only).

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.

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.

A comprehensive DevOps skill covering CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). It includes pipeline setup, infrastructure as code, deployment automation, and monitoring, useful for managing infrastructure and optimizing deployment processes.

ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization.

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.

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.