Skill UI

Conducts a comprehensive, structured ethical review for any AI or ML model, feature, or product. It assesses risks related to fairness, bias, transparency, privacy, and societal impact, providing a risk tier score, necessary mitigations, and governance documentation suitable for pre-deployment compliance.

This comprehensive canvas guides teams through developing robust AI-powered features. It ensures product decisions are rigorous by covering problem definition, model selection (LLM, RAG, etc.), data governance, evaluation metrics, user experience design (including fallbacks), and responsible AI compliance. Ideal for assessing AI readiness and preventing common product failures.

This skill generates a comprehensive capacity plan document for any service. It assists technical teams in proactively managing infrastructure by modeling traffic growth, forecasting resource utilization (CPU, memory, connections), projecting costs, and defining clear scaling strategies. Use this when assessing current resource headroom, planning for seasonal peaks, or defining a long-term infrastructure action roadmap.

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 comprehensive, production-ready database schema documents. It covers Entity-Relationship (ER) diagrams, detailed SQL DDL definitions, constraint analysis, index strategies, and access pattern optimization. Use it when designing a new database, documenting an existing one, or modeling complex data relationships for engineering review.

Transforms complex financial model outputs (P&L, balance sheet figures) into clear, structured, and compelling written narratives. Ideal for preparing board packs, investor updates, or executive management reports by translating mere numbers into actionable stories. The output provides headline insights, detailed driver analysis, variance explanations, and robust forward-looking commentary tailored to specific audiences.

This skill generates a comprehensive Go-To-Market (GTM) asset pack. It structures all necessary marketing and sales materials—including positioning statements, core messaging pillars, feature-to-benefit mappings, and role-specific use cases—following established frameworks like Geoffrey Moore's model. Use it when launching a new product, feature, or service to ensure internal teams and market content are highly aligned and focused on solving customer pain points.

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.

This skill generates a comprehensive B2B partnership proposal or business case. It structures the document to include the partnership rationale, mutual value proposition, collaboration model, commercial terms, and joint go-to-market strategy. Ideal for drafting proposals to external partners or for internal business alignment.

A comprehensive framework for creating defensible, bottom-up sales forecasts. This model guides users through building detailed pipeline stage models, conducting scenario analysis (Upside, Base, Downside), and logging key assumptions. Ideal for sales and revenue leaders who need a systematic, data-driven approach to projecting future revenue, moving beyond simple guesswork.

This skill generates a comprehensive, structured threat model for any given service or feature using the STRIDE framework. It guides users through identifying critical assets, defining trust boundaries, enumerating specific threats (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege), assessing risk, and proposing concrete mitigation controls. Ideal for security design reviews and documentation.

This skill transforms AI from a validating assistant into a relentless adversary. Ideal for stress-testing high-stakes decisions, business plans, or core assumptions. It forces the model to produce the strongest case against your position, identifying potential failure points and required proofs, ensuring you confront the risks you might otherwise ignore.