Skill UI

A powerful code review utility designed for SwiftUI projects. It comprehensively analyzes code quality, ensuring adherence to modern Swift APIs, optimal performance, robust data flow management, and compliance with Apple's Human Interface Guidelines and accessibility standards (like VoiceOver and Dynamic Type). Use this tool when writing, refactoring, or reviewing complex SwiftUI implementations to maintain high code hygiene and maintainability.

A comprehensive, multi-stage workflow for enhancing and structuring raw footage using advanced AI tools. It covers the entire pipeline—from initial recording (Screen Studio) through AI planning (Claude/Codex), deterministic cutting (FFmpeg), compositing (Remotion), asset generation (ElevenLabs/fal.ai), and final human polish (Descript/CapCut). Designed for users creating vlogs, tutorials, or polished corporate videos.

A forensic tool for performing post-mortem analysis on AI-assisted coding sessions. It goes beyond simply stating what was done, determining *why* work deviated (e.g., spec ambiguity, repo friction, agent error), identifying scope creep, and classifying rework patterns. It provides evidence-backed recommendations to improve prompts, codebase health, and future development workflows.

Opinionated Terraform workflow skill that guides module design, state/backend management, provider patterns, security hardening, policy-as-code checks, and CI/CD plan/apply flows so IaC stays modular, compliant, and reliable.

A comprehensive strategy for regression testing in AI-assisted development. It focuses on identifying systematic blind spots, such as schema inconsistencies between sandbox and production paths, and integrating automated bug checks into the development workflow. This guide teaches how to build robust, database-free API tests to ensure code quality when AI models contribute to the codebase.

A comprehensive workflow for performing static and dynamic analysis of malicious PDF documents. It utilizes tools like peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Ideal for triaging phishing attachments, analyzing exploit documents, and building threat signatures in a controlled forensic environment.

This guide details the comprehensive workflow for conducting memory forensics using Volatility 3. It covers the entire incident response lifecycle, from acquiring raw RAM dumps to analyzing processes, detecting rootkits, investigating network connections, and extracting sensitive artifacts like credentials and injected code. Essential for live memory analysis in cybersecurity investigations.

A comprehensive guide to configuring secure OAuth 2.0 authorization flows, covering best practices for Authorization Code with PKCE, Client Credentials, and Device Authorization Grant. Learn how to implement mandatory security controls, manage token lifecycles, and align with OAuth 2.1 standards to build robust identity and access management systems.

A comprehensive, multi-step workflow for analyzing and deobfuscating highly complex and malicious JavaScript code. It guides users through extracting scripts from phishing pages and web skimmers, identifying obfuscation techniques (Base64, Unicode escapes, eval chains), neutralizing anti-analysis features, and progressively decoding string layers to reveal the original malicious payload for thorough threat intelligence and malware analysis.

A comprehensive guide and workflow for threat hunting suspicious PowerShell activity (T1059.001). This technique focuses on detecting advanced adversary techniques such as encoded commands, AMSI bypass, and download cradles using telemetry from EDR platforms (CrowdStrike, MDE), SIEMs (Splunk, Elastic), and Sysmon. Essential for proactive threat detection, incident response, and security assessment.

A comprehensive guide for penetration testers detailing methods to identify and exploit misconfigurations in OAuth 2.0 and OpenID Connect (OIDC) flows. Techniques cover redirect URI manipulation, authorization code theft, token leakage via headers, and scope escalation during security assessments.

This guide details the comprehensive methodology for detecting and exploiting Server-Side Template Injection (SSTI) vulnerabilities across multiple popular template engines, including Jinja2, Twig, and Freemarker. It provides step-by-step workflows, covering payload detection using basic arithmetic expressions, engine identification, and executing advanced Remote Code Execution (RCE) payloads for penetration testing purposes.