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Automate the rotation of sensitive credentials, including RDS database passwords, API keys, and OAuth tokens, using AWS Secrets Manager and Lambda. This skill ensures secure credential lifecycle management, helping maintain system security and compliance by automatically updating credentials for various AWS and third-party services.

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 collection of patterns and best practices for automating GitHub workflows using advanced AI models. This skill enables automated PR reviews, sophisticated issue triage (labeling and commenting), and seamless integration of AI into CI/CD pipelines, significantly enhancing DevOps efficiency and code quality assurance.

An expert guide for designing, implementing, and optimizing large-scale, secure, and highly available cloud-native infrastructure using Kubernetes. Covers advanced topics including GitOps workflows (ArgoCD/Flux), service mesh architecture (Istio), multi-cluster management, Policy as Code (OPA), and infrastructure automation with Terraform. Ideal for platform engineers building enterprise-grade container orchestration solutions.

Submit and manage autonomous lab protocols on Ginkgo Cloud Lab, leveraging RACs for cell-free protein expression validation/optimization, fluorescent pixel art, EstiMate AI assessments, and guided ordering of sample inputs through the web interface.

A comprehensive system for systematically collecting, categorizing, and enriching Indicators of Compromise (IOCs) from various sources (network logs, memory dumps, email, etc.). It supports the entire incident response lifecycle, ensuring structured data representation using STIX/TAXII formats for robust threat intelligence sharing and defensive system automation.

This skill automates the Design Space Exploration (DSE) process, crucial for computer architecture and Electronic Design Automation (EDA). It runs complex simulations, analyzes performance metrics, and systematically tunes parameters (e.g., cache size, pipeline width) across a defined parameter space. It iterates until the objective metric is optimized or a defined timeout is reached, making it ideal for complex hardware tuning and system design.

This skill guides the comprehensive evaluation and selection of Threat Intelligence Platforms (TIPs). It assesses vendor capabilities, including STIX/TAXII support, workflow automation, SIEM/SOAR integration, and total cost of ownership. It is essential for procurement decisions, migrating between TIP solutions, or assessing whether the current CTI program meets required maturity levels.

This guide details the design and implementation of security zones and conduits for Industrial Automation and Control Systems (IACS) following the stringent standards of IEC 62443-3-2. It enables risk-based network partitioning, assigning Security Level Targets (SL-T), and enforcing granular conduit controls. Use this when retrofitting flat OT networks or designing greenfield facilities to achieve IEC 62443 compliance, validating boundaries against the Purdue Reference Model.

This skill guides the implementation of Security Orchestration, Automation, and Response (SOAR) workflows using platforms like Splunk Phantom. It automates the entire incident lifecycle, including alert triage, IOC enrichment (via VirusTotal, CrowdStrike), containment actions, and ticket creation (ServiceNow). Ideal for SOC teams needing to reduce Mean Time To Respond (MTTR) and standardize complex security procedures across multiple tools.

Automates deep packet inspection using tshark and pyshark on PCAP files. This tool is designed for cybersecurity professionals to perform structured network forensics, compute protocol distribution, detect suspicious activity (like port scans, beaconing, and data exfiltration), extract critical IOCs (IPs, domains, URLs), and identify advanced threats such as DNS tunneling patterns. Ideal for incident response and security auditing.

This sophisticated tool automates the security review of serverless functions across major cloud providers, including AWS Lambda, Azure Functions, and GCP Cloud Functions. It systematically identifies critical misconfigurations such as overly permissive IAM execution roles (wildcard actions), hardcoded secrets in environment variables, and potential lack of runtime protections. Ideal for pre-production auditing and compliance checks.