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Startup Metrics Framework \n Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A. \n Use this skill when \n \n Working on startup metrics framework tasks or workflows \n Needing guidance, best practices, or checklists for startup metrics framework \n \n Do not use this skill when \n \n The task is unrelated to startup metrics framework \n You need a different domain or tool outside this scope \n \n

Full-stack React development with file-based routing, server/client rendering, data loading, and type-safe route modules. \n \n Supports file-based routing with nested routes, dynamic segments, and multiple rendering strategies (SSR, SPA, pre-rendering) \n Handles data loading via loader / clientLoader and mutations via action / clientAction with built-in form handling and optimistic UI \n Includes 10+ reference guides covering routing, data loading, actions, navigation, error boundaries, authen

Generate Dockerfile and configuration files to containerize an ASP.NET .NET Framework application for Windows containers. \n \n Detects .NET Framework version from project file and selects appropriate Windows Server base images (Core or Full, versions 2016–2022) \n Modifies web.config to enable environment variable configuration via ConfigurationBuilders for app settings and connection strings \n Creates multi-stage Dockerfile with separate build (SDK) and runtime (ASP.NET) stages, including Log

Framework selection guide for LangChain, LangGraph, and Deep Agents layered architecture. \n \n Layered frameworks where LangChain provides foundation primitives, LangGraph adds orchestration and control flow, and Deep Agents adds planning, memory, file management, and skill delegation \n Decision table guides framework choice based on task complexity: LangChain for single-purpose agents, LangGraph for custom control flow and loops, Deep Agents for multi-step planning and persistent sessions \n

Essential metrics framework for tracking startup performance across seed through Series A stages. \n \n Covers universal metrics (MRR, ARR, CAC, LTV, burn rate, runway) plus specialized frameworks for SaaS, marketplaces, consumer, and B2B models \n Includes formulas, calculation methods, and stage-specific benchmarks for evaluating unit economics and growth efficiency \n Provides stage-gated guidance: pre-seed focuses on product-market fit signals; seed emphasizes retention and baseline unit eco

Write effective unit tests that are fast, isolated, readable, and maintainable following industry best practices and AAA (Arrange-Act-Assert) pattern.