Skill UI

A comprehensive simulation tool designed to pressure-test medical device manufacturers' Quality System Regulation (QSR) compliance against FDA standards (21 CFR 820). It covers six critical areas: complaint handling, process validation, device history records (DHRs), CAPAs, labeling, and handling of Form 483 observations. Essential for pre-inspection readiness, internal audits, and regulatory submission planning.

A comprehensive guide for product marketers on incorporating free, functional tools (calculators, generators, analyzers) into a robust marketing strategy. Learn how to identify genuine user pain points, maximize lead generation through effective gating, optimize for SEO, and scope an MVP that drives both traffic and conversions.

This skill generates structured and standardized Git commit messages following the Conventional Commits specification. By analyzing code changes (via diff or status), it helps developers automatically create clear, actionable, and searchable commit history messages, ensuring consistency across the project.

This tool performs a rigorous, simulated Quality Management System (QMS) audit based on ISO 13485 standards for medical devices. It forces interrogation on critical areas, including Design History Files (DHF), CAPA effectiveness, process validation, risk management (ISO 14971), and post-market surveillance (MDR/FDA QSR). Use it before major audits, commercial launches, or regulatory submissions to identify compliance gaps.

This skill simulates a comprehensive auditor pressure test for any Information Security Management System (ISMS) against ISO 27001 standards. It forces interrogation on six critical areas—including scope, risk management, access control, and incident response—ensuring compliance and readiness before internal audits, Stage 1 certification, or surveillance audits.

This skill provides specialized internal auditing capabilities for ISO/IEC 42001:2023 AIMS. It helps compliance teams assess gaps across Clauses 4-10, build comprehensive AI risk registers with control mapping, and plan structured internal audits (Clause 9.2). Ideal for pre-certification readiness, scoping internal audit cycles, or integrating AI systems into existing quality/security management systems (ISMS/QMS).

This engine aggregates news from multiple RSS sources (e.g., TechCrunch, The Verge) and performs advanced sentiment analysis using AI (Claude). It ranks articles by industry impact, generates structured summaries, and provides actionable commentary, making it ideal for daily tech/AI briefing preparation and market monitoring.

Analyzes options chain data by separating real calls and puts from lottery-like speculative contracts to produce more reliable put/call sentiment, anomaly detection, and expiry breakdowns for watchlists, sectors, and event-driven names.

This tool simulates the rigorous interrogation of a SOC 2 Type II auditor. It forces readiness checks across six critical domains—including scope definition, control consistency, change management, exception tracking, and evidence timing—at key audit milestones (pre-observation, mid-period, pre-field-test). Essential for maintaining continuous compliance.

This skill acts as an expert social media strategist, guiding users through the entire content lifecycle. It helps define content pillars, optimize brand voice, and set clear goals for platforms like LinkedIn, TikTok, Instagram, and Twitter/X. Key functions include developing engaging hooks, systematizing content repurposing (e.g., turning a blog post into a thread or carousel), and performing social listening to track brand mentions and competitor activities.

A comprehensive skill to automatically detect, install, and initialize the Terraform CLI based on the operating system. It ensures the required environment is set up (including handling provider downloads and network mirrors) and prepares the working directory for infrastructure deployment. Ideal for initial setup or when receiving 'command not found' errors.

This skill automatically generates comprehensive unit tests based on provided source code. It supports multiple programming languages (Python, JavaScript, Java, Go, Rust) and popular testing frameworks (pytest, Jest, JUnit). Use it to improve code coverage, test boundary conditions, and validate error handling efficiently, saving manual testing time.