Skill UI

Provides a deep dive into migrating issue tracking data from major platforms like Jira, Asana, and GitHub to Linear. This guide covers the entire lifecycle, including initial workflow assessment, status and priority mapping, data export utilizing API examples, and detailed transformation logic required to ensure data integrity and smooth adoption within Linear.

This comprehensive skill guides the entire product marketing lifecycle, from defining Ideal Customer Profiles (ICP) and developing core positioning statements (e.g., Dunford's method) to executing Go-To-Market (GTM) strategies and product launch plans. It also covers competitive intelligence, building detailed battlecards, and improving sales enablement through win/loss analysis, ensuring successful market entry and adoption across international markets.

This skill provides comprehensive analytics for Windsurf deployments, allowing teams to track AI feature adoption, measure productivity gains, calculate Return on Investment (ROI), and identify key areas for optimization. Use this when analyzing team usage patterns, generating usage reports, or conducting ROI assessments for AI tools.

This framework provides a systematic methodology for engineering virality, moving beyond luck to design shareable products, ideas, and content. It utilizes the STEPPS model (Social Currency, Triggers, Emotion, Public, Practical Value, Stories) to systematically increase the likelihood of organic sharing and word-of-mouth marketing. Use it when optimizing for shareability or predicting user adoption patterns.

A strategic framework detailing how to successfully market and sell disruptive technology products. This guide explains the critical gap (the 'chasm') between early adopters and the mainstream market (early majority). It provides actionable steps—such as identifying a beachhead market, developing a whole product, and refining positioning—to ensure successful product adoption and commercial success.

A comprehensive guide for founders and product managers on developing robust pricing strategies for technical SaaS products. Learn when to use usage-based, seat-based, or outcome-based models. It also provides frameworks for calculating value ratios, assessing alternative costs, and setting optimal freemium thresholds to maximize revenue and adoption.

Framework for launching new products from idea to first loyal customers, covering direct outreach, launch diagnostics, and short experiment cycles to break through early adoption hurdles.

Framework for building and scaling developer-led adoption via ecosystem programs, student pipelines, documentation tiers, community support, and partner tiering to guide platform go-to-market decisions.

A four-phase onboarding framework that guides enterprise customers from contract execution through go-live to sustained adoption, highlighting early owner validation, adoption cliff prevention, and pre-onboarding readiness to keep large deals moving and prevent churn.

Framework for building and scaling partner ecosystems that drive revenue and platform adoption through real economic commitments, strategic go-to-market motions, and discovery-first control decisions across curated or open networks.

A comprehensive guide for optimizing business growth motions. This framework helps founders determine the optimal Go-To-Market (GTM) strategy—whether Product-Led Growth (PLG) or sales-led—and build systematic, measurable growth engines. It covers advanced topics like mapping the growth equation, analyzing channel economics (CAC/LTV), and optimizing time to first value to ensure scalable adoption.

This skill helps healthcare organizations optimize their Abridge AI spending. It provides structured analysis across provider utilization, session waste detection, and ROI calculation. Use it when reviewing complex billing statements, optimizing contract tiers, or ensuring maximum return on investment for AI adoption.