Skill UI

Simulates a comprehensive, multi-stage boardroom deliberation process across various C-suite roles. Utilizing six structured phases—including independent thinking (isolation), cross-examination, and devil's advocate reviews—it prevents groupthink and captures explicit dissent. The output is a formal Board Memo containing consensus reasoning, dissenting opinions, and critical risk assessments, guiding the founder's final decision.

A rigorous simulation of a retention-obsessed Chief Customer Officer (CCO). This tool pressure-tests any business plan related to customer experience, covering critical areas like gross retention rates, root causes of churn, customer segmentation, CS team capacity planning, and compensation model alignment. Use it before major strategic decisions to ensure customer health and retention are rigorously addressed.

Provides C-level strategic guidance for startups deciding on advanced AI implementation. Covers critical decisions including model build-vs-buy analysis (API vs. fine-tune vs. in-house), regulatory compliance risk assessment (EU AI Act, NIST RMF), economic modeling for self-hosting breakeven, and optimal AI team scaling. This is a high-level advisory tool, not a tactical engineering guide.

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.

Provides high-level strategic guidance for founders and Chief Data Officers (CDOs) in startups. This skill covers critical decisions such as AI training data rights and consent provenance, selecting optimal data architectures (warehouse, lakehouse, data mesh), valuing customer data as a strategic asset for M&A or fundraising, and planning data team organizational evolution. It focuses exclusively on strategic decision-making, not tactical engineering.

This advanced tool conducts an intensive, 'pipeline-paranoid' interrogation of critical business metrics. It pressure-tests revenue assumptions by analyzing pipeline coverage, win rate trajectory, NRR decomposition, ramp time, discount discipline, and source mix. Use it before committing to quarterly targets or making major sales strategy shifts.

This skill analyzes high-stakes strategic memos or business briefs by running them through multiple leading AI models (e.g., Claude, Codex, Gemini). It identifies consensus concerns, key supports, and critical divergences, providing a robust, multi-perspective assessment. Ideal for mitigating single-model bias in irreversible decisions like M&A, fundraises, or major pivots.

This single-command entry point acts as an intelligent auto-router for startup founders. It analyzes natural language questions and automatically routes the query to the most relevant C-level advisor (CFO, CMO, CTO, etc.). If the query spans multiple departments, it intelligently guides the user to a multi-role boardroom session, eliminating the cognitive tax of choosing the correct slash command.

This tool simulates a General Counsel's rigorous review process for high-stakes agreements. It poses six critical questions—covering IP ownership, liability, data processing, regulatory compliance, and employment law—before signing major contracts, term sheets, or making strategic IP moves. Use it when committing significant resources or entering regulated markets to proactively identify and mitigate potential legal and business pitfalls.

A rigorous, YC-style interrogation tool designed to force founders to validate their core business assumptions before seeking advice. It demands concrete answers across six critical dimensions: Problem, Customer, Distribution, Defensibility, Capital, and Founder Fit. Use this before strategic pivots, major initiatives, or fundraising to prevent solutionism and surface fundamental weaknesses.

This command initiates a structured founder interview to capture critical, durable facts about the company. It covers basics, business models, financials, and strategic priorities across 12 key areas. The output, `company-context.md`, serves as the single source of truth for all AI agents and advisors, ensuring all decision-making is based on accurate, comprehensive company context rather than assumptions.

This tool conducts an honest, rigorous retrospective on executed business decisions. It systematically scores outcomes against pre-committed success/kill criteria, audits initial assumptions, and revisits preserved dissent. It is crucial for closing the strategic sprint loop and generating actionable organizational learning.