Skill UI

A comprehensive toolkit designed to professionalize LLM prompt workflows. It moves prompts from ad-hoc drafts to measurable, production-ready assets through A/B testing against structured test cases, immutable version tracking, and governance guidelines. Essential for marketing teams needing verifiable quality and safety for AI-generated content.

An expert guide for planning, designing, and implementing statistically rigorous A/B tests and product experiments. It covers core principles like formulating strong hypotheses, selecting primary/guardrail metrics, calculating sample sizes, and analyzing results to drive actionable business insights.

This methodology provides a structured framework for stress-testing critical business assumptions before they fail in the market. Learn to systematically identify, challenge, and model the downside risk associated with market size, revenue projections, competitive moats, and customer behavior. It moves beyond optimism to achieve crucial business calibration.

Nikto is a powerful open-source web server and web application scanner designed for comprehensive vulnerability assessment. It tests against over 7,000 potentially dangerous files, checks for outdated server software (over 1,250 versions), and identifies common vulnerabilities including XSS, SQL injection, misconfigurations, and weak SSL/TLS settings. It is essential for penetration testing and rigorous security auditing.

A comprehensive guide for integrating and managing Firebase In-App Messaging within Flutter applications. This skill covers initial setup, programmatic message triggering via custom events, advanced message suppression during critical flows (like payments), and implementing GDPR-compliant opt-in data collection. It also details full campaign management, including targeting, scheduling, A/B testing, and device-specific testing workflows for optimal user engagement.

This skill helps refine vague, raw ideas into sharp, actionable concepts. It guides users through structured divergent thinking (expanding options, generating variations) and convergent thinking (stress-testing assumptions, clustering directions). The process culminates in a detailed one-pager including Problem Statements, MVP Scope, and key assumptions to validate, ensuring focus and clarity before development.

A structured system for exploring uncertain futures by mapping the full possibility space. Instead of a single prediction, it generates 4-6 distinct branches (Best, Worst, Wild Card, etc.). Use this tool for contingency planning, stress-testing complex decisions, or analyzing speculative "what if" questions to derive actionable intelligence and map second-order consequences.

This structured mode acts as an experiment design partner for Product Managers. It guides users through formulating testable, falsifiable hypotheses, designing rigorous A/B tests (including sample size, duration, and guardrails), and interpreting results honestly. It helps PMs move from vague beliefs to clear, data-backed decisions: Ship, Iterate, or Kill.

This guide provides a comprehensive framework for designing statistically rigorous A/B tests, split tests, and multivariate experiments. It covers everything from formulating strong hypotheses and calculating sample sizes to selecting appropriate primary, secondary, and guardrail metrics for various business contexts.

A comprehensive guide for developing high-impact email marketing campaigns. Covers full lifecycle strategies, including welcome sequences, nurturing workflows, and promotional campaigns. Learn how to optimize deliverability, improve open and click rates, segment audiences, and build effective automation funnels using industry best practices and A/B testing techniques for maximum conversion.

This skill simulates a rigorous review by a Chief Financial Officer (CFO) to stress-test any major plan that involves spending or fundraising. It forces consideration of critical financial metrics such as burn rate, unit economics, dilution path, and capital allocation alternatives. Use this when evaluating new expenditures, hiring waves, or funding decisions to ensure financial viability and sustainable growth.

This expert framework guides users through the systematic process of conducting rigorous A/B tests and growth experiments. It covers all stages: formulating strong hypotheses, selecting appropriate metrics (primary, secondary, guardrail), calculating necessary sample sizes, and choosing the best implementation method (client-side vs. server-side). Use this when planning to compare two versions or build a systematic growth experimentation program.