Skill UI

This framework provides a comprehensive, structured approach for making critical architectural decisions. It guides users through requirements analysis, detailed trade-off evaluation, and documenting decisions using Architecture Decision Records (ADRs). It is essential when analyzing or designing complex system architectures to ensure simplicity, robustness, and maintainability.

Automates common CTE query builder tasks for data analytics, offering best-practice guidance, production-ready SQL snippets, and validation against standard requirements when you need help with BI, visualization, or statistical analysis.

A comprehensive toolkit for modern product management. It guides users through essential workflows, including feature prioritization using RICE, deep customer discovery analysis from interviews, and structured PRD creation. Ideal for defining product strategy, synthesizing user research, and documenting requirements from concept to launch.

Automates the generation of professional, high-resolution marketing screenshots for your web application using Playwright. This skill guides you through the entire process, from gathering user requirements (product hunt, social media, documentation) to deep code analysis (routes, components). It ensures comprehensive coverage of key features, providing marketing-ready assets for your product launch or documentation.

Guides medical device teams through preparing ISO 13485:2016 Quality Management System documentation by combining gap analysis, requirements references, templates, and step-by-step creation workflows for manuals, procedures, and compliance artifacts.

This module is designed to document, track, and manage quality nonconformance issues found during manufacturing or process audits. It is essential for root cause analysis, implementing corrective and preventive actions (CAPA), and ensuring compliance with industry quality standards. Use it when recording deviations from specified requirements.

This skill guides the implementation of a full Cyber Threat Intelligence (CTI) program across the six-phase intelligence lifecycle. It covers defining intelligence requirements (PIRs), building collection pipelines, normalizing data, performing analysis, and managing feedback loops. Ideal for maturing existing CTI teams or establishing foundational security intelligence capabilities.

This skill guides the end-to-end management of the Cyber Threat Intelligence (CTI) lifecycle. It covers defining Priority Intelligence Requirements (PIRs), planning data collection, processing data, performing multi-level analysis (Strategic, Operational, Tactical), disseminating tailored reports, and establishing continuous feedback loops to ensure intelligence relevance and maturity.

This tool performs comprehensive API inventory and discovery across an organization's environment. It identifies all API endpoints—including documented, undocumented, shadow, and deprecated APIs—by combining passive traffic analysis (HAR files), active scanning, DNS enumeration, and cloud resource auditing. It helps map the complete API attack surface, crucial for security assessments and compliance requirements like PCI-DSS and SOC2.

A comprehensive guide to creating production-grade Product Requirements Documents (PRDs). This skill helps bridge the gap between vague business concepts and concrete technical specifications for modern software systems and AI features. It enforces a structured workflow, ensuring all necessary components—from user stories and success KPIs to technical architecture and risk analysis—are defined.

This comprehensive tool guides the systematic creation of detailed technical specifications. It orchestrates the entire design lifecycle, including context loading, deep discovery and analysis (tailored for new features, extensions, or simple additions), synthesis using established design principles, and generating a boundary-first, structured design draft. Ensures all requirements are mapped to explicit technical components.

This skill analyzes the implementation gap by comparing approved feature requirements against the existing codebase, architecture, and context. It helps identify missing capabilities, potential integration challenges, and necessary technical research areas. The output provides multiple viable implementation options and a comprehensive analysis report, guiding the transition from requirements definition to technical design.