Skill UI

This utility displays the precise, real-time token usage and estimated cost savings for the current session. It reads directly from the internal session log, ensuring objective and accurate data without requiring AI computation. Triggered by /caveman-stats, it provides immediate performance metrics to monitor API costs and usage patterns.

Access real-time, field-level Google data for comprehensive SEO analysis. This skill integrates Search Console (GSC), PageSpeed Insights, CrUX field data, GA4 organic traffic, and the Indexing API. Use it to analyze Core Web Vitals (CWV), indexation status, CTR, click performance, and organic traffic trends directly from Google's metrics.

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.

Use this skill to deeply inspect and audit the entire process of local AI coding-agent sessions. It tracks critical operational metrics such as token consumption, cost spikes, tool failures, latency anomalies, and overall health scores. Ideal for debugging unreliable code runs, establishing CI/CD health gates, or comparing different attempts to ensure semantic accuracy.

This expert skill helps design optimal pricing and monetization strategies for SaaS and digital products. It guides users through value-based pricing, packaging structure, and pricing metrics. By utilizing advanced research methods like Van Westendorp and MaxDiff, users can determine optimal price points, tier structures, and pricing models to maximize Customer Lifetime Value (LTV) and Average Revenue Per User (ARPU).

This rigorous review simulates an interrogation by a Chief AI Officer (CAIO). It pressure-tests any AI plan across six critical dimensions: evaluation metrics, failure mode handling (SLOs), international regulatory compliance (e.g., EU AI Act), technical architecture (API vs. fine-tuning), cost economics, and necessary team roles. Use this when ensuring AI features are robust, safe, and commercially sound before launch or major investment.

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 skill provides a comprehensive, narrative-first review of any marketing plan. It forces strategic alignment by interrogating six crucial areas: Ideal Customer Profile (ICP), Job To Be Done (JTBD), positioning statement, channel mix, CAC payback, and brand defensibility. Use it before major campaigns, repositioning, or when market performance metrics decline.

This skill provides a rigorous, data-driven framework to interrogate product roadmaps and feature commitments using six critical questions. It forces teams to think beyond mere features, focusing on Jobs To Be Done (JTBD), North Star Metrics, Product-Market Fit (PMF) signals, RICE scoring, opportunity cost, and defining clear kill criteria. It is ideal for quarterly planning, major feature launches, and assessing product pivots to ensure strategic alignment.

This tool provides a comprehensive, "pipeline-paranoid" interrogation of a sales plan. It analyzes critical growth metrics—including revenue coverage, win rate trends, NRR decomposition, ramp time, and discount discipline—to surface potential operational gaps before they become crises. Use before setting quarterly targets or scaling teams.

A structured founder interview designed to gather the canonical, comprehensive data for a company, including financials, team structure, business metrics, and strategic risks. It generates a single, authoritative `company-context.md` file, serving as the single source of truth for all subsequent AI agents and strategic decision-making processes. Essential for initial setup or after major company life events like funding rounds or pivots.

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.