Skill UI

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.

Enables comprehensive observability for Replit integrations by collecting deployment metrics, latency traces, health checks, and alerts, plus dashboards for uptime, resource usage, AI feature adoption, and cost control.

Implements Windsurf-specific observability by capturing AI adoption metrics, cascades, seat utilization, and tokens, exporting them for dashboards and alerting to keep monitoring aligned with team operations.

Collects and reports Windsurf AI usage metrics, productivity gains, and ROI by enabling analytics, configuring dashboards, and monitoring adoption trends for Enterprise teams.

Detailed migration guide that helps teams transform imperative TypeScript into fp-ts functional patterns, covering try/catch to Either/TaskEither, null checks to Option, callbacks to Task, DI to Reader, loops to functional ops, Promise chains, pitfalls, and adoption strategies.

Helps plan lead magnets that capture emails, educate buyers, and guide qualified leads toward adoption with format guidelines, staging advice, and gating tactics.

This skill is designed to retrieve and display detailed usage metrics for GitHub Copilot within organizations and enterprises. Users can analyze adoption rates, total suggestions, acceptance rates, and chat interactions, broken down either by the entire organization/enterprise or on a per-user basis. It supports querying data for specific historical dates using GitHub CLI and REST API.

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.