Skill UI

Design scalable AWS architectures for startups with guided workflows covering requirement gathering, architecture pattern selection, IaC template generation, cost analysis, and deployment/validation using Lambda, API Gateway, ECS, Aurora, and optimization scripts.

Design scalable AWS architectures for startups with guided workflows covering requirement gathering, architecture pattern selection, IaC template generation, cost analysis, and deployment/validation using Lambda, API Gateway, ECS, Aurora, and optimization scripts.

A comprehensive guide for optimizing Obsidian plugin performance, especially when dealing with large knowledge vaults (10,000+ files). Learn advanced techniques such as profiling bottlenecks with DevTools, implementing lazy initialization to speed up startup, processing files in manageable batches with UI yielding, and utilizing LRU caches for bounded memory management. Essential for creating stable, high-performance plugins.

A comprehensive guide for optimizing application performance on Replit. Covers critical areas such as reducing cold start times, managing memory consumption, optimizing Nix environment dependencies, accelerating build processes, and ensuring database connection efficiency. Use this guide when facing slow startups, resource limits, or deployment slowdowns.

A comprehensive guide for managing user interactions and system lifecycle events within the Makepad UI framework. It covers handling various input types (mouse, touch, keyboard), lifecycle events (Startup, Shutdown), and propagating custom actions between widgets and their parents. Essential for building highly responsive and interactive graphical user interfaces.

A comprehensive guide detailing Next.js 16+ usage with Turbopack. Turbopack, written in Rust, is an incremental bundler designed to drastically speed up development startup and Hot Module Replacement (HMR) by utilizing file system caching. This document guides developers on best practices, differentiating between the default Turbopack usage and when to revert to Webpack for debugging or compatibility.

Executes a structured VC valuation workflow that ingests SaaS or startup metrics, runs DCF, comparable revenue multiples, and SaaS health models via Python, and synthesizes a defensible valuation, runway, and capital-efficiency narrative for users planning fundraising or benchmarking.

This comprehensive workflow guides the design, optimization, and deployment of scalable, cost-effective Google Cloud Platform (GCP) architectures for both startups and large enterprises. It covers the full lifecycle, from gathering detailed requirements (compliance, SLA) and recommending optimal patterns (Serverless, GKE, Data Pipelines) to estimating costs, generating Infrastructure as Code (IaC) using Terraform, setting up CI/CD pipelines, and completing a thorough security review.

A comprehensive guide for deploying, configuring, and maintaining the OpenViking server in production environments. It covers service configuration management, environment setup using `uv` for virtual environments, reliable startup procedures using `nohup`, graceful shutdown methods, and critical data cleanup workflows. This resource is essential for DevOps engineers and system administrators managing OpenViking services.

This skill establishes CI/CD pipelines for complex financial workflows, including expense tracking, budget alerts, and compliance reporting for startup accounting (Fondo). It runs comprehensive unit and integration tests on every pull request and main branch merge, validating data transformation, monitoring filing deadlines, and ensuring live API connectivity to maintain financial data integrity and compliance.

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.