Skill UI

This skill outlines a systematic, multi-phase workflow for diagnosing hard bugs and performance regressions in complex codebases. It emphasizes the critical necessity of building a tight, deterministic feedback loop (Phase 1) before moving to hypothesis generation. The process guides users through reproducing the failure, minimizing the scope of the issue, and forming actionable, ranked hypotheses.

This skill executes an LLM Council workflow, allowing multiple open-weight large language models (LLMs) to independently answer a prompt. The process involves parallel deliberation, peer ranking, and final synthesis by a designated Chairman LLM, providing a comprehensive and highly vetted final answer. Ideal for complex problem-solving and critical analysis.

This document provides a comprehensive guide to the principles and vocabulary needed to write high-quality, predictable, and effective skills. It covers advanced concepts like model-invoked vs. user-invoked skills, managing context load, structuring information hierarchies (steps vs. reference), and implementing progressive disclosure to improve agent predictability.

This skill uses Python and boto3 to analyze AWS CloudTrail logs. It establishes statistical baselines of normal API activity and detects various anomalies, such as unusual event sources, first-time API usage, geographic IP deviations, and high-frequency calls. This is critical for identifying credential compromise, privilege escalation, and unauthorized resource access in a security incident.

Microsoft Entra PIM enforces Just-in-Time (JIT) access by replacing standing (permanent) privileges with time-bound, eligible assignments. This workflow mandates explicit role activation, justification, Multi-Factor Authentication (MFA), and optional approval workflows, significantly reducing the attack surface and ensuring adherence to Zero Trust principles for critical Azure and Entra roles.

A comprehensive guide for defense contractors handling Controlled Unclassified Information (CUI). It covers preparing for CMMC Level 2 certification, implementing 110 NIST SP 800-171 controls, calculating the SPRS score using DoD methodology, and managing the POA&M and SSP. Essential for DFARS compliance and external assessments.

A comprehensive methodology for planning, running, and measuring strategic adversary engagement operations using the MITRE Engage framework. It guides teams beyond ad hoc deception by defining measurable Goals (Expose, Affect, Elicit), Operational Objectives, and mapping activities to specific MITRE ATT&CK techniques. Essential for building formal denial and deception programs.

Automated system designed to monitor paste sites (e.g., Pastebin, GitHub Gists) for leaked credentials, API keys, and sensitive data dumps. It uses advanced scraping, keyword matching, and regex patterns to provide early detection of data breaches and security incidents.

A comprehensive guide to achieving compliance with the HIPAA Security Rule (45 CFR Part 164). This skill outlines the mandatory steps to protect electronic Protected Health Information (ePHI), including conducting thorough risk analyses, deploying administrative, physical, and technical safeguards, managing Business Associate Agreements (BAAs), and preparing for breach notifications and OCR audits. Essential for Covered Entities and Business Associates.

This skill details the implementation of continuous identity verification for Zero Trust architectures. It covers deploying phishing-resistant Multi-Factor Authentication (FIDO2/WebAuthn), establishing risk-based conditional access policies, and integrating identity governance controls aligned with NIST and CISA frameworks. Learn how to move beyond traditional passwords to dynamic, adaptive security models.

A comprehensive system for designing high-quality, multi-platform banners, including social media ads, website heroes, and print materials. It leverages AI visual generation, UI/UX insights, and HTML/CSS structuring to create multiple art direction options for any campaign.

Plaso (log2timeline) is an open-source engine used to generate forensic super-timelines. This skill guides the process of normalizing hundreds of diverse artifact types—including MACB times, registry keys, EVTX logs, and browser history—into a single, cohesive chronological view. The workflow covers extraction, filtering, and importing the timeline into Timesketch for collaborative analysis, which is crucial for incident response, correlating complex activity chains, and detecting anti-forensic techniques like timestomping.