Skill UI

This skill transforms a raw YouTube video idea into a comprehensive, structured production brief. It guides the user through defining the unique angle, target audience, key value propositions, and necessary assets (CTA) required before filming. It ensures that content planning is professional, differentiated, and ready for a production team.

Guides executive teams through selecting and operating a company OS, spanning EOS/Scaling Up/OKR frameworks, accountability charts, scorecards, meeting rhythms, IDS issue resolution, and 90-day rocks for predictable quarterly planning.

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.

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 skill guides users through comprehensive Conversion Rate Optimization (CRO) analysis for any marketing page, including homepages, landing pages, and product pages. It analyzes critical elements such as value proposition clarity, headline effectiveness, CTA placement, trust signals, and friction points, providing actionable recommendations for immediate quick wins and high-impact structural changes to boost conversions.

This skill acts as a specialized Conversion Rate Optimization (CRO) expert. It analyzes various marketing assets—including landing pages, homepages, and pricing pages—to identify friction points, improve value proposition clarity, and boost conversion rates. It provides actionable recommendations, quick wins, high-impact changes, and A/B testing hypotheses based on established CRO best practices.

A comprehensive guide to designing transparent, predictable, and developer-friendly usage-based pricing models. Learn which metrics (API calls, compute time, storage) developers accept, how to structure clear pricing pages, and how to avoid confusing or punitive billing practices to maximize adoption and revenue.

A comprehensive tool for designing and planning A/B and multivariate experiments. It guides users through statistical sample size calculations, defining minimum detectable effects (MDE), structuring robust hypotheses, designing test variants, and creating detailed monitoring and decision criteria for maximum experimental rigor in CRO.

This guide outlines the strict transparency and data availability requirements for manuscripts submitted to the American Educational Research Journal (AERJ). It ensures adherence to AERA standards for reporting empirical social science research (both quantitative and qualitative) and the AERA Code of Ethics. It details how authors must make findings reproducible, whether by providing code and data access paths, or by documenting an inspectable analytic trail.

A comprehensive guide for authors navigating the rigorous multi-stage review process of *Acta Electronica Sinica* (AES). It covers the entire journey from initial submission and double-blind peer review to final acceptance, detailing decision points, interpreting manuscript statuses, understanding critical timelines (e.g., the 6-month red line), and providing strategic advice for revisions and resubmissions in electronics and information science.

This skill guides users through assessing the viability and timeliness of a research topic for a high-level policy journal. It evaluates whether a question meets stringent criteria—including first-order policy stakes, current global relevance, and empirical tractability—to be featured in a panel debate. It is essential for turning an academic idea into a publishable, policy-relevant narrative.

A comprehensive guide for researchers writing about Manufacturing and Service Operations Management (M&SOM). It mandates that the method chosen must be dictated by the core operational decision. Provides detailed frameworks for both the analytical lane (e.g., stochastic optimization, queueing theory, game theory) and the empirical/causal lane (e.g., Difference-in-Differences, Instrumental Variables), ensuring the research delivers actionable operational insights.