Skill UI

An expert in designing, implementing, and optimizing scalable, reliable, and cost-effective data pipelines for both batch and streaming data. Covers advanced topics including ETL/ELT patterns, Kappa/Lambda architectures, workflow orchestration (Airflow/Prefect), transformation using dbt/Spark, and managing modern storage formats like Delta Lake and Iceberg. Focuses heavily on data quality, monitoring, and cost optimization strategies.

This skill provides a comprehensive framework for monitoring Mistral AI API usage in production. It includes an instrumented client wrapper (TypeScript) to automatically capture critical metrics like latency, token consumption, cost, and error rates. Furthermore, it integrates with Prometheus for metric storage and Grafana for visualization, allowing users to set up sophisticated alerting rules for performance degradation, rate limiting, or cost spikes.

This skill provides a comprehensive guide for identifying and exploiting insecure local data storage vulnerabilities in Android and iOS applications. It covers analyzing plaintext credentials, unencrypted SQLite databases, insecure SharedPreferences, and improper keychain/keystore usage. Essential for performing robust mobile penetration testing focused on OWASP M9.

A comprehensive guide detailing how to implement Microsoft Defender for Cloud across various workloads (VMs, containers, SQL, storage) to achieve continuous security monitoring and compliance assessment. This process utilizes Azure Policy, Log Analytics, and Azure Arc for holistic protection, enabling adaptive remediation and meeting stringent regulatory requirements like PCI-DSS and CIS standards.

This skill guides the deployment and configuration of Data Loss Prevention (DLP) controls directly on endpoints. It detects and prevents the unauthorized exfiltration of sensitive data (PII, PHI, PCI) via common vectors like email, USB drives, cloud storage uploads, and printing. Use this when establishing compliance policies (HIPAA, GDPR) or securing data against internal data movement risks.

This guide details the implementation of a robust, ransomware-resilient backup architecture following the extended 3-2-1-1-0 rule. It covers critical steps such as classifying assets, defining RPO/RTO, implementing immutable or air-gapped storage, and isolating backup credentials from the production domain. Use this knowledge to design a multilayered defense against data loss and ensure reliable recovery points.

This skill provides a comprehensive framework for performing authorized penetration testing on Google Cloud Platform (GCP). It uses specialized tools like GCPBucketBrute to enumerate publicly accessible storage buckets and audits IAM policies to identify overly permissive role bindings. The process includes checking service account keys and mapping potential privilege escalation paths, generating actionable, risk-scored reports for robust cloud security posture management.

Perform comprehensive security assessments for Google Cloud Platform environments. This tool audits critical security components—including IAM policies, firewall rules, and storage permissions—against industry benchmarks like the CIS GCP Foundations Benchmark. It helps organizations establish secure baselines and ensure continuous compliance across multiple GCP projects.

A comprehensive guide to conducting security assessments on thick client (desktop) applications. This skill details techniques ranging from static analysis (using tools like dnSpy, IDA Pro) to dynamic analysis (process monitoring with Procmon, network interception via Burp Suite). It covers finding hardcoded credentials, identifying insecure local storage, mitigating DLL hijacking, and analyzing memory manipulation within local applications.

This guide details securing the CAST AI integration across multiple layers. It covers best practices for API key management (including rotation and secrets storage), implementing least-privilege RBAC using 'kubectl', deploying the Kvisor security agent for runtime scanning, and setting up Kubernetes Network Policies to restrict egress traffic. Use this when hardening production clusters or performing security audits.

This comprehensive skill guides users through the entire Fluid storage extension lifecycle within KubeSphere. It allows for installing, upgrading, and uninstalling the Fluid extension, and managing various data resources. Users can generate YAML manifests for Datasets and specialized runtimes (Alluxio, JuiceFS, Thin), perform data loading/cache warming, scale operations, and troubleshoot issues using both kubectl and KubeSphere APIs.

A comprehensive guide for migrating cloud workloads from AWS or Azure to Oracle Cloud Infrastructure (OCI). It provides detailed concept mapping for core services like IAM, networking (VPC/VCN), compute (AMI/Custom Image), and data storage. The skill covers end-to-end migration procedures, including using OCI CLI and Python SDK for controlled deployment and resource translation.