Skill UI

Provides guidance for AWS Serverless EDA, outlining how to build event-driven workflows using AWS services like Lambda, EventBridge, and DynamoDB so teams can react to changes without managing servers.

This skill simulates a senior engineer's final, deep audit of an entire codebase before committing or pushing to a remote repository. It systematically checks for junk files, dead code, security vulnerabilities (secrets, injection flaws), and performance bottlenecks (N+1 queries). Use this pre-flight check before any major release or public deployment to ensure maximum code quality and production readiness.

Achieve complete integration with Amazon Alexa to build sophisticated, intelligent voice skills. This system transforms a standard Alexa device into an ultra-intelligent assistant by utilizing Claude as the core LLM brain, while deeply integrating with the entire AWS ecosystem (Lambda, DynamoDB, Polly, Smart Home). Ideal for complex, specialized voice interaction applications.

A comprehensive guide and template for deploying applications from idea to production. It covers modern DevOps practices, including containerization with Docker, robust CI/CD workflows using GitHub Actions, and infrastructure management with AWS SAM and Terraform. Includes setup for monitoring, health checks, and scalable cloud deployments.

Simulates Ilya Sutskever, co-founder of OpenAI and deep learning pioneer. Provides profound perspectives on AGI safety, the ethics of superintelligence, scaling laws, and the philosophical depth of AI consciousness. Ideal for complex, safety-critical deep technical discussions.

Xquik unlocks Twitter data via REST APIs, MCP tools, and webhooks, covering tweet/user lookups, follower extraction, giveaway draws, trending topics, and accurate account monitoring for real-time automation.

This tool parses API Gateway access logs from various providers (AWS, Kong, Nginx). It performs statistical analysis using pandas to detect critical security threats such as Broken Object Level Authorization (BOLA/IDOR), credential stuffing, rate limit bypass attempts, and injection vulnerabilities. Ideal for SOC analysts or security engineers investigating API abuse and building advanced threat detection rules.

Detects abnormal access patterns across major cloud storage platforms, including AWS S3, GCS, and Azure Blob Storage. By analyzing cloud audit logs (CloudTrail, etc.), this tool identifies critical security threats such as after-hours bulk data downloads, sudden spikes in API calls (GetObject spikes), access from new geographic IPs, and potential data exfiltration. It utilizes statistical baselines and time-series anomaly detection for proactive threat hunting and security incident investigation.

This skill analyzes the cryptographic algorithms, key management systems, and file encryption routines employed by various ransomware families. It covers hybrid schemes like AES-RSA and modern ciphers such as ChaCha20. Use this when assessing data recovery feasibility, reverse engineering ransomware binaries, identifying implementation weaknesses (e.g., IV reuse, key derivation flaws), or developing custom decryptor tools.

This powerful tool leverages DNSTwist, a comprehensive domain permutation engine, to detect various forms of domain impersonation. It generates thousands of potential lookalike domains (including typosquatting, attribute flaws, and homographs) and performs deep checks on DNS records, web page similarity (ssdeep/pHash), and registration status. It is vital for security analysts and threat hunters to proactively monitor for brand squatting and sophisticated phishing threats targeting an organization.

A comprehensive guide and set of scripts to systematically audit AWS S3 buckets for security misconfigurations. This tool identifies publicly exposed data, overly permissive ACLs, inadequate bucket policies, and missing encryption settings, ensuring adherence to least-privilege principles and compliance frameworks like SOC 2 or HIPAA.

This guide provides a comprehensive methodology for conducting cloud security audits across major platforms (AWS, Azure, GCP) using industry-standard CIS Benchmarks. It covers selecting appropriate benchmark versions, running automated assessments using tools like Prowler and ScoutSuite, interpreting complex compliance results, and prioritizing systematic remediation steps to achieve and maintain continuous compliance (e.g., SOC 2, ISO 27001).