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Functional Error Handling with TypeScript

sickn33/antigravity-awesome-skills

Learn how to handle errors in TypeScript using functional patterns like `Either` and `TaskEither`, eliminating messy try/catch blocks. This guide teaches that errors are simply data, allowing you to write cleaner, more predictable, and type-safe code that explicitly handles potential failures through explicit return values.

Pipe And Flow Utility Reference

sickn33/antigravity-awesome-skills

This guide provides a quick reference for 'pipe' and 'flow' utilities in fp-ts. The `pipe` function is used to chain multiple operations to transform a specific value, while `flow` allows you to create reusable, composed functions (pipelines). It is essential for implementing clean, declarative data manipulation and functional composition in TypeScript.

Pragmatic Functional Programming Guide

sickn33/antigravity-awesome-skills

This guide offers a jargon-free, practical approach to functional programming using fp-ts in TypeScript. It focuses on the 80/20 principles, teaching core patterns like Pipe, Option, and Either. Learn how to handle missing values safely, manage errors explicitly, and chain operations cleanly, improving code readability without over-engineering.

Pandas Data Toolkit

sickn33/antigravity-awesome-skills

Pandas is a Python data analysis library that simplifies loading, cleaning, transforming, and analyzing structured datasets, making it ideal for data wrangling in analytics or engineering workflows.

Secure Zeroization Auditing Tool

sickn33/antigravity-awesome-skills

A specialized tool for auditing source code (C/C++/Rust) to ensure sensitive data (keys, passwords, PII) is properly zeroized. It analyzes memory handling at the assembly and IR level to detect if compiler optimizations, such as dead-store elimination, have accidentally removed or weakened the secure cleanup process. Essential for maintaining security in critical codebases.

Karpathy Guidelines for LLM Coding

andrej-karpathy

sickn33/antigravity-awesome-skills

A set of behavioral guidelines derived from Andrej Karpathy's observations to help users writing, reviewing, or refactoring code with Large Language Models (LLMs). It guides developers to avoid overcomplication, make surgical changes, explicitly surface assumptions, and define verifiable success criteria, promoting clean, simple, and robust code development.

AI Writing Cleaner

avoid-ai-writing

sickn33/antigravity-awesome-skills

Audits prose for 21 AI-writing patterns, swaps flagged terms via a 43-entry table, rewrites the passage with human phrasing, and runs a second-pass review so content sounds natural before publishing.

Modern UI UX Guide

oiloil-ui-ux-guide

davepoon/buildwithclaude

Provides actionable guidance and review checklists for modern clean UI/UX, emphasizing CRAP principles, task-first flows, information architecture, system feedback, consistency, and refined iconography.

Uncle Bob Craft

uncle-bob-craft

sickn33/antigravity-awesome-skills

Aggregates Uncle Bob’s Clean Code, Architecture, Coder, Agile, and design-pattern guidance to evaluate reviews, refactors, and architecture decisions, and to surface professionalism heuristics without replacing your linter or formatter.

Lean Startup Methodology Guide

jeremylongshore/claude-code-plugins-plus-skills

A systematic framework for launching and validating new products and business models. It guides users through the Build-Measure-Learn loop, emphasizing validated learning over vanity metrics, and structuring Minimum Viable Product (MVP) experiments to test core assumptions and determine if a pivot or perseverance is necessary.

Clean Architecture For Android And KMP

android-clean-architecture

affaan-m/everything-claude-code

A comprehensive guide to implementing Clean Architecture patterns for both Android and Kotlin Multiplatform (KMP) projects. It covers robust module structuring, dependency inversion rules, defining UseCases and Repositories, and designing the data layer using technologies like Room, SQLDelight, and Ktor. Learn how to separate concerns, maintain platform independence, and manage complex data flows.

SEO Content Quality Analyzer

AgriciDaniel/claude-seo

Evaluate page content for usefulness, E-E-A-T signals, readability, thinness, and AI citation readiness. Includes last-mile draft cleanup such as AI-typical phrasing and invisible Unicode watermarks. Content-only analysis, not full-page technical checks.

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