Skill UI

Step-by-step guidance and a template for composing empathetic end-of-life announcements that explain the rationale, outline customer impact, present support plans and timelines, and offer clear next steps when retiring products or features.

Guides product managers through Richard Lawrence’s Humanizing Work flowchart to sequentially apply nine split patterns, validate INVEST criteria, and choose vertical slices that surface low-value work before sprint planning.

Guides product teams to convert major initiatives into structured hypotheses that spell out the action, beneficiary, outcome, and validation steps so uncertainties surface before roadmaps or delivery planning.

Helps product managers evaluate whether to build a feature by analyzing revenue connections, cost structure, ROI, and strategic value, then delivers build or don’t-build recommendations backed by financial calculations.

Assess proposed pricing moves by analyzing ARPU/ARPA shifts, conversion and churn risks, NRR/expansion effects, and CAC payback to decide whether a price increase, new tier, discount, or add-on should ship.

Fast-reference component for SaaS finance metrics, providing formulas, benchmarks, and red-flag cues during reviews, meetings, or decision checks without deep explanations.

This comprehensive guide provides step-by-step instructions for integrating the Google Gemini API into applications using Python and Node.js. It covers the entire lifecycle, from basic text generation to advanced use cases like multimodal inputs (text + image), real-time streaming responses, function calling/tool use, and multi-turn chat. Includes best practices for model selection, error handling, and production deployment.

JTBD framework for exploring customer jobs, pains, and gains to validate product ideas, prioritize roadmaps, sharpen messaging, and surface unmet needs before committing to solutions.

Guides product leaders through Jeff Gothelf's Lean UX Canvas v2 to turn business problems into aligned experiments, surface assumptions, and document learning goals before investing in features.

This expert skill reviews the architecture and design of the Bitcoin Lightning Network protocol. It analyzes complex Layer 2 scaling tradeoffs, compares various channel factory approaches, and evaluates critical technical aspects—including trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness guarantees, and watchtower support. Use this when assessing the cryptographic and systemic soundness of L2 blockchain protocols.

A comprehensive technical reference for implementing advanced Lightning Network channel factories. It covers complex topics such as multi-party channels, Layer 2 scaling on Bitcoin, and advanced protocols including Decker-Wattenhofer invalidation trees, MuSig2 key aggregation, and encrypted Noise NK transport. Essential for developers building highly scalable and secure Bitcoin infrastructure.

An expert guide detailing the SuperScalar protocol and Bitcoin Lightning channel factories. It explains scalable onboarding mechanisms using shared UTXOs, advanced cryptographic structures like Decker-Wattenhofer trees, and MuSig2. This knowledge is vital for understanding how Bitcoin can scale significantly without requiring disruptive soft forks.