Skill UI

A comprehensive tool for Bid Managers and Proposal Leads to structure responses to RFPs, RFIs, and RFQs. It systematically parses complex requirements, maps product proof-points to identify strategic gaps (GAP audit), develops win-themes using the Shipley method, and calculates a defensible winrate estimate to guide a decisive bid/no-bid decision. Focuses on strategy, not narrative writing.

This powerful tool compares identical tables across two SQL Server instances (e.g., Production vs. Staging). It efficiently detects missing rows, extra columns, schema drifts, and data mismatches. Leveraging Python and Apache Arrow for fast columnar data transfer, it provides a comprehensive reconciliation report, making it essential for data migration validation and ETL verification.

This skill provides a comprehensive solution for embedding the powerful, Photoshop-compatible Photopea editor into any web application. Using photopea.js, developers can control the embedded instance via JavaScript, enabling advanced workflows such as opening remote files, loading local assets (fonts, brushes), executing custom scripts to manipulate layers and text, and exporting the final result in various formats (PNG, JPG, PSD, WebP). Ideal for building professional creative tools directly into your product.

This skill operates as a blunt, market-obsessed operating system, emulating the rigorous thought process of Marc Andreessen. It is designed to pressure-test ideas, ventures, and product strategies by strictly adhering to market-first principles (Market > Team > Product) and focusing solely on achieving Product/Market Fit (PMF). It rejects platitudes, refuses to validate premises, and is ideal for determining if a business concept has real market traction or if the venture is fundamentally flawed.

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.

A comprehensive guide for securing container images and runtime environments. Covers best practices from Dockerfile authoring (minimal base images, multi-stage builds, non-root users) through advanced runtime enforcement (seccomp, AppArmor) and Kubernetes security controls. Essential for production hardening and maintaining supply chain integrity.

Master the design, debugging, and hardening of production-grade GitHub Actions CI/CD pipelines. This skill covers advanced topics including reusable workflows, matrix builds, self-hosted runners, OIDC authentication, secrets management, environment protection, and complex trigger patterns (e.g., workflow_call, schedule, release). Use this to automate complex build, test, and deployment processes.

This skill provides a rigorous, operational framework for product and user research. It helps researchers select the appropriate study method (generative, evaluative, validation) based on goals and product stages. It also calculates defensible sample sizes and saturation levels, and synthesizes raw observations into governed, evidence-based insights, ensuring all findings are rooted in cross-participant recurrence.

This powerful orchestrator guides the planning, funding, scoping, and synthesis of enterprise research across four critical domains: clinical R&D, finance, market analysis, and product usability. It acts as a central hub, routing complex inquiries to specialized sub-skills and generating structured digests with actionable insights and critical 'grill challenges' for operational rigor.

This skill guides the design of robust, production-grade data extraction pipelines, moving beyond brittle one-off scripts. It supports three modes: API-driven web scraping (Firecrawl), traditional local Python extraction (PDF, CSV), and hybrid workflows. Key features include intelligent routing, mandatory data validation, secure key management, and adherence to scraping best practices.

This guide provides a systematic, safe workflow for refactoring rapidly developed or AI-generated fullstack applications. It focuses on identifying and removing dead code, fixing broken imports, and consolidating repetitive logic while strictly maintaining existing API contracts, routes, and core functionality. Use this before launch to ensure a stable, maintainable production baseline, following a 'surgery, not demolition' philosophy.

A comprehensive, multi-phase quality assurance tool designed for Next.js fullstack applications. It verifies production readiness by checking code integrity, build success, SEO metadata, API authentication, route stability, performance, and security vulnerabilities. Use it as a mandatory pre-deployment checklist before promoting an app to production.