Skill UI

A comprehensive enterprise-grade security engine designed to discover, classify, protect, and govern all credentials, API keys, and secrets across the entire application lifecycle. It provides continuous governance by auditing code repositories, CI/CD pipelines, runtime logs, and infrastructure configurations to prevent exposure and enforce least privilege principles. Ideal for implementing DevSecOps best practices.

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.

This skill guides the development of EarLLM One, a complex Android application. The app captures real-time audio from Bluetooth earbuds, transcribes the voice using STT, sends the text input to a Large Language Model (LLM) via a robust pipeline, and plays the response back using TTS. It requires deep knowledge of Kotlin, Android development, Bluetooth profiles (A2DP/HFP), and advanced audio routing.

This blueprint guides the creation of F.R.I.D.A.Y., a tactical, low-latency voice assistant inspired by Iron Man. It utilizes the specialized Pipecat framework to orchestrate a comprehensive, real-time audio pipeline: STT (OpenAI Whisper/GPT-4o) -> LLM (Gemini) -> TTS (OpenAI Nova). Ideal for developers needing to build advanced, multi-provider, conversational voice applications.

This skill provides methods for reliably extracting typed, validated, and structured data from Large Language Models (LLMs), moving beyond simple text parsing. It covers best practices across major APIs (OpenAI's response_format, Anthropic's tool_use, Google's responseSchema) and local models. Key workflows include defining schemas (Pydantic/Zod), implementing constrained decoding, and building robust retry loops for production-grade data pipelines.

A comprehensive guide to using k6 for robust performance and load testing across APIs, WebSockets, and browser scenarios. Learn to write realistic load simulations (smoke, load, stress, soak), analyze performance metrics, set SLAs, and integrate testing into CI/CD pipelines to ensure system reliability before deployment.

This skill provides a comprehensive framework for ingesting, normalizing, and enriching threat intelligence (CTI) from multiple structured and unstructured sources. It guides users through scoring feeds, converting heterogeneous IOC formats (like OpenIOC, YARA) into the standardized STIX 2.1 format, and enriching indicators using external services (e.g., VirusTotal, PassiveTotal). Ideal for building robust, automated threat detection pipelines for SIEM and EDR systems.

This guide details comprehensive methods for auditing Terraform infrastructure-as-code (IaC) against security misconfigurations. By leveraging industry-standard tools like Checkov, tfsec, Terrascan, and Open Policy Agent (OPA), users can detect critical vulnerabilities—such as overly permissive IAM policies, public resource exposure, and missing encryption—before cloud deployment. It is essential for integrating robust security gates into CI/CD pipelines and enforcing compliance standards.

This skill guides the creation of automated workflows for enriching raw Indicators of Compromise (IOCs) with multi-source threat intelligence context. It is designed for integration into SOAR platforms (e.g., Cortex XSOAR, Splunk SOAR) or Python pipelines. By automatically querying multiple sources like VirusTotal, AbuseIPDB, and MISP, it significantly reduces analyst mean time to triage (MTTT) and standardizes the resulting threat context and confidence scoring.

Builds a comprehensive, automated pipeline for malware submission and analysis. It collects suspicious files from multiple sources (EDR, email gateways), automatically submits them to sandbox environments and multi-engine scanners, and generates detailed verdicts and Indicators of Compromise (IOCs). Essential for SOC teams needing to scale high-volume malware triage and incident response.

This comprehensive guide details how to design and implement an end-to-end DevSecOps pipeline leveraging GitLab CI/CD. It integrates crucial automated security checks—such as SAST, DAST, container scanning, dependency scanning, and secret detection—directly into the development workflow. By adopting this approach, teams can effectively 'shift left' security, identifying and mitigating vulnerabilities early in the development lifecycle to ensure compliance and robust application security.

This skill details the architecture and implementation of an automated Indicator of Compromise (IOC) enrichment pipeline using OpenCTI. It demonstrates how to connect OpenCTI to various external threat intelligence services (like VirusTotal, Shodan, AbuseIPDB) to automatically gather context, correlate indicators, and assign confidence scores. This is crucial for enhancing security monitoring and prioritizing threats for cyber analysts.