Skill UI

Provides revenue leadership playbooks for B2B SaaS CROs, covering forecasting, pipeline health, pricing, NRR/GRR cohorts, and team scaling to design predictable, board-ready revenue engines.

Design, optimize, and raise SaaS pricing through tiering, value metrics, and pricing pages so you capture value, boost conversion, and scale revenue.

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.

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 framework provides a systematic blueprint for building a scalable, predictable B2B sales machine. It emphasizes the critical principle of role specialization (SDR, AE, CSM) and modern outbound prospecting (Cold Calling 2.0) to ensure repeatable growth. Use this guide when optimizing your sales pipeline, defining lead generation strategies, or scaling B2B SaaS operations.

This router acts as an index and dispatcher for four specialized business and growth skills. It routes requests across the entire B2B lifecycle, covering customer success management (churn risk, expansion), sales engineering (RFP analysis, PoC planning), revenue operations (pipeline forecasting, GTM efficiency), and contract writing. Use this when a growth or revenue request requires determining the correct specialized skill module.

Acts as a senior SaaS CFO advisor: ingests revenue, customer, and cost inputs, runs validated calculators, benchmarks each health metric by segment and stage, and prioritizes the most critical actions with plain-English guidance.

Helps founders and GTM teams set metrics, build tiers, and manage margins for AI products by grounding pricing choices in compute cost realities, credit systems, and buyer personas so revenue models scale with value.

Designs content-led go-to-market systems that reverse-engineer distribution, repurpose pillar content, and track attribution so every post, video, or newsletter feeds measurable revenue and pipeline growth.

Guides GTM leaders through expansion and retention systems that reduce churn, automate customer success, and optimize net revenue retention via usage triggers, health scoring, and land-and-expand playbooks.

Helps founders, RevOps, and GTM engineers turn manual revenue processes into reliable, observable automation by mapping tech stacks, designing workflow architectures, and orchestrating AI agents across platforms like n8n, Make, and Zapier.

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.