Skill UI

This comprehensive skill provides foundational knowledge in core marketing concepts, psychological principles, and strategic frameworks. It covers the entire customer journey, from initial awareness (TOFU) through consideration, decision, and advocacy. Users can apply advanced models like the Funnel Model, Value Proposition Canvas, and Positioning Statements to structure effective campaigns, refine messaging, and measure key business results.

Provides expert guidance on building, optimizing, and analyzing growth-driving programs. This skill covers the fundamental differences between customer referral schemes and paid affiliate models. Learn to identify key trigger moments, structure compelling incentive mechanisms (single/double-sided), and calculate optimal reward sizes to maximize viral loops and scale customer acquisition for sustained business growth.

The Founder-Mode Executive Team simulates a complete C-suite of 13 specialized agents (CFO, CMO, CPO, etc.) and provides 21 structured slash commands. It is designed for founders and executives who need multi-perspective analysis, deep strategic reviews (e.g., unit economics, threat modeling), consensus building, and structured decision logging. Use it when orchestrating complex, multi-phase business decisions.

This skill simulates a Chief Data Officer's deep interrogation, pressure-testing any plan touching core data strategy. Use it before approving ML model training runs, selecting data infrastructure (warehouse vs. mesh), productizing data assets, or making major team hires. It ensures that all data decisions are grounded in clear business decisions, compliance, and structural necessity.

This skill provides strategic guidance for CCOs and founders in designing advanced customer success operations. It covers honest retention decomposition (analyzing GRR vs NRR), developing differential customer segmentation strategies based on ICP fit, modeling optimal CS team coverage (pooled vs. named), and mapping the ideal CS organizational structure. Ideal for strategic planning and business resource allocation.

This command runs a high-stakes business memo through multiple advanced AI models (Claude, Codex, Gemini) to achieve a robust consensus review. It identifies areas of agreement, divergence, and critical concerns, providing an independent sanity check before irreversible corporate decisions like M&A, fundraises, or major pivots. It includes graceful degradation for API availability.

Bilig WorkPaper provides a code-first runtime environment for complex spreadsheet business logic. It allows agents to interact with structured data using formulas and JSON workbooks via deterministic API calls (MCP/TypeScript). This is ideal for replacing unreliable UI automation in use cases like quote calculators, budget modeling, and data validation, ensuring calculation integrity through explicit read-back proof.

This skill provides expert, guided assistance for creating, auditing, and improving Best Practice Analyzer (BPA) rules for Power BI semantic models. It utilizes an interactive, double-diamond discovery process to gather deep context about your organizational standards, model structure, and business goals before generating tailored, reusable data validation and governance rules.

This skill provides a comprehensive, step-by-step workflow for building complete Power BI reports from scratch using the pbir CLI. It guides users through model discovery, defining design briefs, visual layout, data validation, and final publishing. Ideal for automating the entire business intelligence (BI) reporting process and ensuring adherence to professional design standards.

An interactive workflow for auditing and standardizing naming conventions (tables, columns, measures) in Power BI semantic models (TMDL). It ensures names are human-readable, consistent, and aligned with core business terminology, addressing technical issues like abbreviations, mixed casing, and inappropriate technical prefixes.

A comprehensive framework for conducting deep competitive analysis, providing structured insights for product decision-making and business strategy. It guides the creation of detailed reports, including feature comparison matrices, pricing models, market positioning maps, and win/loss analyses. Ideal for product managers, strategists, and sales teams developing battlecards.

This skill generates a comprehensive metrics framework for any product, team, or business. It connects the North Star Metric to supporting drivers using established models like AARRR, HEART, or OKR. The output is a structured, actionable metric hierarchy, including definitions, counter-metrics, and dashboard recommendations to guide strategic decision-making.