Skill UI

Helps product managers match hypotheses, risks, and resources to the right Proof of Life probe so they can pick the cheapest prototype that reveals the harsh truth before overbuilding.

Use the Recommendation Canvas to vet AI product concepts by mapping business and customer outcomes, hypotheses, positioning, risks, and success metrics so you can make defensible investment recommendations.

Framework for product leaders to calculate SaaS revenue and retention KPIs (MRR, ARR, churn, NRR, quick ratio) so they can diagnose growth, product-market fit, or churn risks and share accurate signals with stakeholders.

Break large user stories, epics, or features into smaller, independently deliverable stories using systematic splitting patterns so agile teams can reduce risk, improve estimation, and keep value flowing when backlog items grow too big.

An AI-driven comprehensive health analysis system that integrates multi-dimensional datasets, including biometrics, lifestyle, and medical history. It excels at anomaly detection, predicting various health risks (e.g., CVD, Diabetes), providing personalized, evidence-based recommendations, and generating detailed, interactive health reports.

This model provides an engineering operational framework for teams that leverage AI agents to generate large volumes of code. It shifts the focus from simple syntax to process quality, robust architecture design, rigorous testing, and systematic risk control, ensuring the development of highly stable and reliable systems in AI-assisted environments.

Outlines principles and practices for building secure contracts, covering threat modeling, vulnerability mitigation, and deployment readiness to help teams reduce risk when launching automated agreements.

This skill performs a pre-mortem analysis on strategic plans before resources are committed. It assumes the plan failed in 12 months and works backward to identify critical assumptions, dependencies, and execution risks. Ideal for product roadmaps, fundraising, hiring, and go-to-market strategies. It helps validate confidence levels, map vulnerabilities, and determine reversibility of decisions to prevent collapse.

Guides security leadership decisions with dollar-based risk quantification, compliance roadmaps for SOC 2, ISO 27001, and HIPAA, incident response, board reporting, and security budget justification.

A rigorous, security-focused code review process designed for Pull Requests (PRs), commits, and diffs. It moves beyond general reviews by focusing intensely on high-risk areas such as authentication, cryptography, external calls, and value transfer. The methodology is evidence-based, requiring detailed attack scenario modeling and generating comprehensive, auditable markdown reports to identify overlooked vulnerabilities and regressions.

This skill provides deep analytical insights into aggregated family health data. It assesses genetic predisposition, identifies patterns of familial diseases, calculates weighted risk scores based on historical data, and generates personalized, actionable prevention recommendations. Ideal for generating comprehensive family health reports and trend analysis.

Scans Go codebases for security vulnerabilities, highlighting risky patterns, insecure dependencies, and misconfigurations so auditors can catch issues before deployment.