Skill UI

This comprehensive guide details the setup process for the Fondo platform, designed for automated startup bookkeeping, tax filing, and tracking R&D tax credits. Users must connect core financial sources, including payroll providers (e.g., Gusto, QuickBooks), corporate bank accounts (via Plaid), and expense management tools (e.g., Brex, Ramp). Following these steps ensures seamless data synchronization and compliance for US-incorporated businesses.

This reference architecture outlines a comprehensive financial stack for startups. It centralizes core financial functions—including banking (Mercury), payroll (Gusto), revenue/expense tracking (Stripe/Brex), and advanced bookkeeping/tax services (Fondo)—into a unified data flow. It helps founders and finance teams manage everything from daily transactions to monthly closing, tax filings (like R&D credits), and generating board reports efficiently.

This guide details the usage of go.uber.org/dig, a powerful reflection-based container for Dependency Injection in Golang. It covers advanced patterns like using `Provide`/`Invoke` for service registration, grouping parameters with `dig.In`, managing multiple outputs with `dig.Out`, and handling named/grouped dependencies. This is essential for reliably wiring complex application graphs at startup.

A robust application framework for Go that combines a reflection-based Dependency Injection container (built on dig) with advanced features. It provides lifecycle hooks (OnStart/OnStop), a module system, and signal-aware run loops. It is ideal for building complex, long-running services like HTTP servers, daemons, and workers that require structured startup and graceful shutdown.

Generates a comprehensive, single-screen financial report in a self-contained HTML file. This skill is designed for analyzing key business metrics, including P&L summaries, MRR trends, KPI cards (Revenue, Gross Margin, Cash Runway), and top-accounts analysis. Ideal for quarterly or monthly financial reviews in SaaS or startup environments.

Provides C-level strategic guidance for startups deciding on advanced AI implementation. Covers critical decisions including model build-vs-buy analysis (API vs. fine-tune vs. in-house), regulatory compliance risk assessment (EU AI Act, NIST RMF), economic modeling for self-hosting breakeven, and optimal AI team scaling. This is a high-level advisory tool, not a tactical engineering guide.

Provides high-level strategic guidance for founders and Chief Data Officers (CDOs) in startups. This skill covers critical decisions such as AI training data rights and consent provenance, selecting optimal data architectures (warehouse, lakehouse, data mesh), valuing customer data as a strategic asset for M&A or fundraising, and planning data team organizational evolution. It focuses exclusively on strategic decision-making, not tactical engineering.

This tool provides strategic legal guidance for founders and startup executives, covering critical areas like contract risk review (MSA, NDA, DPA), intellectual property strategy, term sheet decoding, and global regulatory compliance (GDPR, HIPAA, etc.). It surfaces key questions and potential traps to ensure thorough review before legal commitment. NOTE: This is not a substitute for licensed attorney advice.

Provides strategic operational guidance for startup VPEs, focusing on maximizing delivery throughput using DORA metrics, optimizing the engineering hiring funnel, designing scalable team structures (squad/tribe), and establishing robust production disciplines. Use when scaling pains hit, delivery slows, or organizational design is unclear.

This skill provides a comprehensive framework for auditing and improving the efficiency of GitHub Codespaces environments. It helps users identify waste sources like oversized devcontainers, inefficient machine types, and poorly scoped prebuilds. By following a structured workflow, users can reduce monthly cloud spending, drastically cut startup times, and maintain optimal development throughput.

This deployment skill is designed to be integrated into the Playwright testing workflow. Its primary function is to validate the loading process of shared skills across the entire environment during the startup phase. It ensures that all necessary components and modules are correctly registered and available for reliable End-to-End (E2E) testing execution.

Practical guide for pre-caching fonts, images, animations, and initial data in Flutter and Flutter Web to reduce jank, font swaps, and startup delays. Covers Google Fonts, asset/network images, multiple image preloading, and app-start preloader patterns.