Skill UI

This skill provides comprehensive, production-ready guidelines for establishing a design system based on a playful, arcade-inspired aesthetic. It covers visual foundations (VT323 typeface, color tokens), detailed component rules, accessibility standards (WCAG 2.2 AA), and a structured, expert workflow for design documentation. Ideal for leading design and engineering teams to ensure consistent, high-quality UI/UX implementation.

Provides strategic operational guidance for startup VPEs, focusing on maximizing delivery throughput using DORA metrics, optimizing the engineering hiring funnel, designing scalable team structures (squad/tribe), and establishing robust production disciplines. Use when scaling pains hit, delivery slows, or organizational design is unclear.

This skill provides a rigorous set of engineering and design directives for building professional-grade user interfaces using React/Next.js and Tailwind CSS. It enforces modern architectural constraints, ensures accessibility, and guides design decisions (typography, color, layout) to avoid common web clichés, resulting in high-fidelity, production-ready code.

This skill converts complex, narrative technical documents, research excerpts, or natural language problem descriptions into a highly structured Mathematical Problem Specification (MPS). It systematically extracts variables, constraints, objectives, and uncertainty parameters. By adhering to a strict Zero-Inference Protocol, it ensures all extracted elements are strictly grounded in the source text, making it invaluable for formalizing real-world optimization, data science, and engineering problems.

This skill maps engineering changes (code diffs, architecture designs, IaC) to specific financial compliance controls, such as PCI-DSS v4.0 and MAS TRM. It generates an auditable report detailing compliance gaps, required evidence, and concrete remediation steps, helping teams catch violations before formal audits.

This skill designs and audits the core engineering harness required for reliable AI agent collaboration within a codebase. It establishes critical infrastructure elements such as change tracking, linting rules, CI/CD gates, and standardized documentation, ensuring the repository remains the single source of truth for all intelligent agents. Ideal for setting up complex development workflows.

This skill enables the creation of a robust 'harness' system for coding agents within a repository. It addresses the need to prevent repeated AI-generated coding mistakes by implementing durable instructions, guardrails, regression tests, and failure memory. It treats the target repository as the source of truth, ensuring consistency and maintaining high reliability across all automated contributions.

This skill generates a formal Architecture Decision Record (ADR) following industry-standard formats. It guides users through documenting the full rationale behind significant technical choices, ensuring that the context, alternatives considered, chosen option, and resulting trade-offs are all captured. Ideal for maintaining architectural integrity and knowledge transfer within engineering teams.

This skill generates a complete and detailed specification for an ETL/ELT data pipeline. It covers everything from source systems, transformation logic, and data quality rules to destination data warehousing and required SLAs. Use this when planning data ingestion, designing complex data flows, or needing comprehensive architecture documentation for engineering handoff.

This skill generates comprehensive, production-ready database schema documents. It covers Entity-Relationship (ER) diagrams, detailed SQL DDL definitions, constraint analysis, index strategies, and access pattern optimization. Use it when designing a new database, documenting an existing one, or modeling complex data relationships for engineering review.

This skill provides a comprehensive, structured audit of any design system. It assesses component coverage gaps against production UI, monitors design token consistency (color, spacing, typography), evaluates documentation quality, and checks for accessibility compliance. The output includes an overall health score and a prioritized remediation roadmap, making it essential for design leadership and engineering teams maintaining shared component libraries.

Creates comprehensive, actionable disaster recovery (DR) documents for any service or system. It defines critical recovery targets (RTO/RPO), outlines failure scenario runbooks, specifies backup validation procedures, and establishes testing cadences. Use this tool when building site reliability engineering (SRE) practices or preparing for major system failure simulations.