Skill UI

Leverages Monte Carlo-based simulation to spot potential software vulnerabilities by feeding randomized inputs into modules, tracking failure likelihoods, and highlighting risky code paths for security testing.

Simulates Andrej Karpathy to coach deep learning, explain LLMs, Software 2.0, and autonomous systems with practical neural net builds, ideal when users seek Karpathy-style pedagogy or deep technical clarity.

A comprehensive suite of 25 advanced agent skills designed for modern software development and platform operations. These tools cover the entire development lifecycle, including multi-agent architecture design, robust CI/CD pipelines, database schema management, performance profiling, observability setup, and security auditing. Ideal for complex system integration and platform engineering teams.

A comprehensive guide to integrating privacy protections into software architecture from the ground up. This skill ensures compliance with major global regulations like GDPR, CCPA, and LGPD by implementing core principles such as data minimization, purpose limitation, and default privacy settings. Essential for developers building any application that handles personal user data.

Guides investigators through extracting Windows registry hives from forensic images and running RegRipper/python-registry to expose installed software, autoruns, persistence keys, and user activity, aiding incident response and threat hunting.

Deploys osquery across Windows, macOS, and Linux endpoints, configures scheduled SQL queries, and integrates with FleetDM/SIEM to monitor processes, ports, software, and persistence for threat hunting and compliance.

Guide for deploying a CSA v2.0 Software-Defined Perimeter with SPA, mutual TLS, and controller/gateway configuration to enforce zero-trust network access for applications and users.

Performs credentialed vulnerability scans with Nessus, Qualys, and similar tools to log into hosts, inspect installed software, patches, and settings, and validate controls during assessments, incident response, or audits.

Simulates and detects software supply chain attacks by checking typosquatting risks with Levenshtein distance, probing dependency confusion across registries, verifying package hashes, and running pip-audit vulnerability scans for security assessments.

This guide details a comprehensive methodology for penetration testing desktop (thick client) applications. It covers static and dynamic analysis, focusing on identifying vulnerabilities such as hardcoded credentials, insecure local storage, DLL hijacking, memory manipulation, and API communication flaws. Tools like dnSpy, Procmon, and Burp Suite are utilized for in-depth security auditing of enterprise and banking software.

CCPM orchestrates software delivery from PRD through epics and GitHub issues into parallel agent execution, covering planning, decomposition, syncing, workstart, and status checks with mandated script-based reporting.

This guide enforces the 'spec-first' principle in software development, treating the specification as a non-negotiable contract. It outlines a rigorous, multi-stage workflow detailing mandatory sections (Functional/Non-Functional Requirements, Acceptance Criteria, API Contracts, Data Models) and bounded autonomy rules. Users learn how to define the system 'must do' before writing a single line of code, thereby minimizing rework and eliminating scope creep.