Skill UI

Plans and facilitates ransomware tabletop exercises that stress-test organizational readiness, decision-making, and communication during simulated LockBit/ALPHV/Cl0p incidents. Injects cover double-extortion, backup destruction, and regulatory notifications, while scoring participant choices against NIST CSF and CISA guidance.

Use CISA's SSVC decision tree to prioritize vulnerabilities, combining exploitation data, impact, automatability, and mission context to drive actionable remediation schedules.

This skill helps developers structure and record critical architectural decisions (ADRs) made during coding sessions. It automatically detects moments of decision, capturing the context, alternatives considered, and the rationale (trade-offs and consequences). This maintains a living log that explains 'why' the code base was built the way it is, preventing knowledge loss and improving project maintainability.

This skill provides institutional-depth equity analysis by combining public SEC EDGAR filings and real-time market data. It can generate structured, verdict-style memos, score stocks across four key pillars (Momentum, Stability, Financial Health, Upside), and perform side-by-side comparisons of two tickers, enabling data-driven investment decision support without requiring proprietary terminal access.

Guides founders through business decisions by focusing on profitability, lean spending, remote-first teams, bootstrap fundraising, and sustainable scaling so ventures survive and grow without burning out resources.

This tool guides users through professional customer research methodologies. It enables the analysis of existing assets (transcripts, surveys, support tickets, reviews) to extract deep insights like Jobs to Be Done, pain points, and emotional triggers. It also guides the gathering of new intelligence from online sources (Reddit, forums, reviews) to ensure all product, marketing, and copy decisions are grounded in verifiable customer reality, minimizing assumption bias.

Assess any business decision through Sahil Lavingia’s Minimalist Entrepreneur lens, focusing on community value, manual-first processes, profitability, and reversible moves to keep plans lean and validating with early customer input.

Guides frontend designer-engineers to deliver memorable, production-ready interfaces by defining an aesthetic stance, scoring feasibility with DFII, and translating every intentional decision into code, typography, motion, and texture.

Guides Python developers through architecture decisions, framework choices, async vs. sync trade-offs, type-hint strategies, and project structure best practices for 2025 projects.

This tool serves as a persistent memory and state manager for complex coding projects within the Claude environment. It allows users to initialize new projects with structured metadata, track detailed session progress (including summaries, decisions, and next steps), and save the entire context reliably. By ensuring project continuity across disconnected sessions, it drastically improves the flow and consistency of the development workflow.

This library provides comprehensive patterns for building robust Clinical Decision Support Systems (CDSS) integrated into Electronic Medical Records (EMR). It ensures patient safety by implementing critical checks such as drug interaction screening, weight/age/renal-adjusted dose validation, and standardized clinical scoring (e.g., NEWS2). The engine uses pure functions, guaranteeing high testability and reliability for critical medical insights.

An automated verification system designed for critical healthcare application deployments (EMR/EHR). This harness enforces stringent patient safety standards by running multiple mandatory test gates, including Clinical Decision Support System (CDSS) accuracy, Protected Health Information (PHI) leakage prevention, and data integrity checks. A single failure in critical gates automatically blocks deployment, ensuring regulatory compliance and optimal patient safety in the CI/CD pipeline.