Skill UI

Analyzes SaaS unit economics and capital efficiency to guide PMs and leaders on CAC, LTV, payback, burn, runway, and Rule of 40 trade-offs before scaling or fundraising.

A comprehensive framework for preparing for high-stakes, adversarial board meetings, investor updates, or fundraising pitches. This guide teaches founders how to master key business metrics (MRR, burn rate, CAC/LTV) cold, anticipate the toughest questions, and structure an honest, confident narrative that maintains credibility even when presenting bad news.

A comprehensive guide and methodology for identifying, measuring, and fixing performance bottlenecks across the entire stack. This skill covers optimizing database queries (e.g., N+1 problems, missing indexes), improving API efficiency (caching, parallel processing), and enhancing frontend performance (memoization, code splitting, image optimization). It emphasizes the critical 'Measure First' principle to ensure all optimizations are data-driven and effective.

A robust, production-grade REST API gateway designed to wrap ComfyUI servers. It provides comprehensive features including workflow templating, job queuing (with priorities), webhooks, result caching, authentication, and rate limiting. It transforms ComfyUI into a universal, scalable, and secure service for automated image generation pipelines.

This skill provides comprehensive strategies and technical blueprints for monetizing digital products, especially SaaS platforms. It covers everything from defining advanced pricing models (freemium, value-based pricing) and optimizing revenue flows (LTV/CAC, churn prevention) to practical Stripe integrations. Use it when you need to set up subscription plans, process webhooks, or implement automated billing cycles for your software.

This skill provides expertise in TanStack Query (React Query), a powerful tool for asynchronous state management in modern React and Next.js applications. It covers advanced patterns like data fetching, cache invalidation, optimistic updates, and handling SSR hydration, ensuring highly performant and reliable data layers.

Documented best practices for building applications with Anthropic Claude via Python and TypeScript SDKs, covering messaging, streaming, tools, vision, reasoning, caching, batching, and Agent workflows to optimize prompts, tokens, and cost.

Guides GTM measurement for AI products by outlining revenue, efficiency, pipeline, retention, and funnel metrics, aligning dashboards with attribution models and weekly reviews so founders and revenue leaders monitor ARR, CAC, TTFV, NRR, and cost signals without implementation detail.

A specialized tool for digital forensics investigators that parses the Windows Amcache.hve registry hive. It extracts crucial evidence regarding program execution history, application installation metadata, and loaded driver binaries. By correlating SHA-1 hashes and reconstructing timelines, users can determine which executables ran on a system, aiding in incident response and threat detection.

This skill automates the Design Space Exploration (DSE) process, crucial for computer architecture and Electronic Design Automation (EDA). It runs complex simulations, analyzes performance metrics, and systematically tunes parameters (e.g., cache size, pipeline width) across a defined parameter space. It iterates until the objective metric is optimized or a defined timeout is reached, making it ideal for complex hardware tuning and system design.

A comprehensive guide and method for extracting and analyzing digital forensic artifacts from major web browsers, including Chrome, Firefox, and Edge. This process retrieves critical data such as web history, cookies, cached items, downloads, and bookmarks to reconstruct user web activity trails for deep cybersecurity and digital forensics investigations.

This utility performs comprehensive forensic analysis on memory dumps. It leverages industry-standard tools like Volatility and Mimikatz to extract sensitive information, including cached credentials, NTLM/LM hashes, Kerberos tickets, and authentication tokens. It is crucial for incident response, assessing the scope of credential compromise, and investigating lateral movement attacks.