Skill UI

A comprehensive, phased guide detailing how to migrate your code review process to CodeRabbit. It covers the entire journey, from assessing current tools (like SonarCloud, DeepSource, or manual reviews) and mapping existing rules, through to running a parallel pilot phase and finally achieving full adoption. Ideal for engineering managers or DevOps teams planning a major CI/CD tool transition.

This skill simulates an expert performance engineer capable of diagnosing complex bottlenecks across the entire technology stack. It covers modern observability techniques (OpenTelemetry, APM), advanced profiling (CPU, Memory, I/O), and sophisticated load testing strategies (k6, Chaos Engineering). Use this when optimizing scalability, reducing latency, improving throughput, or architecting highly reliable, performant distributed systems in cloud environments.

Comprehensive skill set covering the full lifecycle of advanced visual AI systems. Expertise includes object detection (YOLO, Faster R-CNN), instance and semantic segmentation (Mask R-CNN, SAM), model training using PyTorch, and production deployment optimization using ONNX and TensorRT for edge or cloud targets.

This guide demonstrates how to implement robust Role-Based Access Control (RBAC) and financial governance for cloud GPU environments. It allows organizations to allocate resources, set team-specific budgets, whitelist approved GPUs, and track spending via detailed audit logs. Ideal for multi-team research and engineering environments requiring strict cost accountability and access separation.

This collection provides 32 production-ready engineering skills covering core development, security, AI/ML, and specialized tools. It helps users identify the appropriate skill for tasks like architecture, frontend, backend, QA, DevOps, and cloud management. Each skill includes Python tools for analysis and scaffolding without external dependencies. Use specific SKILL.md files to load targeted capabilities efficiently.

This tool provides comprehensive security assessments for the entire IoT ecosystem, including physical hardware, embedded firmware, network communications, and cloud APIs. Testers can perform deep dives using hardware debugging (UART/JTAG), firmware extraction and reverse engineering, analyzing protocols (MQTT, CoAP, BLE), and simulating cloud-to-device attacks to identify vulnerabilities across all layers of the smart device stack.

This comprehensive checklist provides a detailed methodology for simulating the initial access phase in red team engagements and penetration testing. It covers a wide spectrum of modern attack vectors, including advanced social engineering (e.g., deepfake, BEC), sophisticated phishing (spear/smishing), exploiting exposed perimeter services (RDP/VPN), and identifying cloud misconfigurations. Use this guide when planning or executing the initial foothold stage to ensure comprehensive coverage against modern threats.

Stratus Red Team is an open-source tool for detection engineering and purple teaming. It atomistically detonates granular, MITRE ATT&CK-mapped offensive techniques across AWS, Azure, GCP, and Kubernetes. The tool executes a full, repeatable lifecycle (warmup, detonate, revert, cleanup) to generate realistic attacker telemetry. Use it to validate if cloud security tools (like CloudTrail or Sentinel) reliably trigger on simulated attacks, or to safely practice red teaming.

Run open-source molecular design and structural biology tools on Tamarind Bio's managed cloud GPUs via REST API or MCP. Covers AlphaFold/Boltz/Chai structure prediction, RFdiffusion and ProteinMPNN design, antibody and nanobody engineering, DiffDock docking, binding affinity, MSA generation, and molecular dynamics — no local GPU setup needed.

Expert data engineer specializing in scalable data pipelines, modern data warehouses, lakehouse architectures, and real-time streaming. Proficient in Apache Spark, dbt, Airflow, Kafka, and cloud-native platforms (AWS, Azure, GCP). Focuses on reliable, performant, and cost-effective data solutions with strong emphasis on data quality and governance.

Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Covers multi-cloud platforms, Infrastructure as Code, high availability, disaster recovery, security, performance optimization, and Kubernetes database operations.

Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Provides guidance on log analysis, distributed tracing, performance debugging, and system reliability engineering for cloud-native environments.