Skill UI

A comprehensive, generics-first utility library inspired by Lodash, providing 500+ type-safe functions for Go collections. It enables highly declarative and functional programming patterns (Map, Filter, Reduce, GroupBy) over slices, maps, and strings, eliminating manual boilerplate loops. It supports immutable operations, concurrent processing (lop), and lazy iteration (loi) for advanced, efficient data transformations.

This system treats ideas like living species on an 'evolution island.' Instead of simple storage, it runs structured, multi-round iterations simulating biological processes: competition, crossbreeding, and mutation. Users input initial concepts, and the tool systematically evaluates them using a 6-dimensional scoring framework (Novelty, Feasibility, Value, etc.). It helps users deepen viability, discover unexpected connections between disparate ideas, and prioritize the most robust concepts for development and investment.

This guide details setting up a robust, local development loop for Adobe integrations (Firefly, PDF, Photoshop). It covers using the `aio` CLI for App Builder, implementing hot reload, and establishing unit/integration testing with mocking to ensure rapid, reliable iteration cycles for Adobe APIs.

This guide provides a comprehensive, reproducible workflow for setting up an Algolia local development environment. It covers creating separate development indices, seeding mock data, and implementing client mocking for unit tests. This process ensures fast, safe iteration cycles, allowing developers to build and test search features without ever touching production data.

This guide provides a comprehensive setup for a fast and reliable local development loop for applications powered by the Anthropic Claude API. It covers environment management, implementing hot reloading, tracking API usage costs, and utilizing mock responses to ensure a smooth, rapid iteration cycle for AI developers.

A comprehensive setup guide for establishing a fast, reproducible local development environment for AssemblyAI projects. It incorporates hot reloading, local caching of transcription results, and mocked testing utilities to ensure rapid iteration cycles without relying on live API keys or incurring costs. Ideal for setting up new services or enhancing existing AI workflows.

A comprehensive guide to setting up a fast, reproducible local development environment for BambooHR integrations. This workflow incorporates hot reloading, API mocking (using MSW), and robust unit/integration testing. It allows developers to establish a rapid, isolated, and stable iteration cycle for building or testing third-party HR platform connections.

A comprehensive setup guide for developing Canva Connect API integrations locally. It covers implementing the OAuth 2.0 flow with PKCE, setting up a robust mock API server (using MSW) for reliable unit and integration testing, and configuring hot reloading for fast iteration cycles. Ideal for developers building SaaS applications connected to Canva.

This guide details setting up a robust local development environment for Grammarly API integrations. It covers establishing the project structure, implementing mocked API responses, and utilizing vitest for comprehensive unit and integration testing. Ideal for developers who require a fast iteration cycle or need to configure reliable API test workflows.

A comprehensive guide to setting up a robust local development loop for Hex API orchestration. This includes defining the project structure, creating a typed API client using TypeScript, and implementing mocked unit tests (e.g., using vitest) to ensure fast iteration and reliable testing of data pipelines and external service interactions.

This guide outlines setting up a robust, reproducible local development environment for Klaviyo integrations. It provides boilerplate for hot reloading, mocking the SDK, and running both unit and integration tests, ensuring fast and reliable API iteration cycles for marketing automation.

This guide details how to set up and test Apify Actors locally using the Apify CLI. It emulates the full platform environment (including datasets, key-value stores, and request queues), allowing developers to run scrapers, test data handling, and debug the entire development lifecycle before deploying to the cloud. Perfect for rapid iteration and rigorous local testing.