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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.

Bluetooth LLM Voice Pipeline Android App

sickn33/antigravity-awesome-skills

This skill guides the development of EarLLM One, a complex Android application. The app captures real-time audio from Bluetooth earbuds, transcribes the voice using STT, sends the text input to a Large Language Model (LLM) via a robust pipeline, and plays the response back using TTS. It requires deep knowledge of Kotlin, Android development, Bluetooth profiles (A2DP/HFP), and advanced audio routing.

Cross-Platform Security Audit Expert

sickn33/antigravity-awesome-skills

This expert skill performs non-intrusive static analysis to thoroughly audit AI skills and bundles. It identifies malicious patterns, data leaks, system stability risks, and obfuscated payloads across major operating systems (Windows, macOS, Linux/Unix) and mobile platforms (Android/iOS). Use it when verifying skill legitimacy or performing deep cross-platform security reviews.

Grand Slam Offer Creation Framework

hundred-million-offers

jeremylongshore/claude-code-plugins-plus-skills

This framework teaches how to create "Grand Slam Offers"—packages so valuable that rejection feels foolish. It guides users to optimize the perceived value using the Value Equation (Dream Outcome, Likelihood, Time Delay, Effort). Learn how to strategically bundle core products with bonuses, guarantees, and scarcity mechanisms to eliminate price comparison and achieve market dominance.

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.

Multiplatform Compose Architecture Patterns

compose-multiplatform-patterns

affaan-m/everything-claude-code

A comprehensive guide to building highly performant and reusable UIs across multiple platforms (Android, iOS, Desktop, Web) using Compose Multiplatform and Jetpack Compose. It details advanced patterns for state management (Single State Object, Event Sink), type-safe navigation, slot-based composables, platform adaptation (Expect/Actual), and crucial performance optimization techniques.

Kotlin Coroutines And Flow Patterns

kotlin-coroutines-flows

affaan-m/everything-claude-code

A comprehensive guide to mastering structured concurrency, reactive streams, and state management in Kotlin. Covers advanced topics like Flow operators (debounce, retryWhen), StateFlow for UI state, and implementing robust asynchronous logic for Android and Kotlin Multiplatform projects. Essential for modern Android development.

Android Malware Analysis

analyzing-android-malware-with-apktool

mukul975/Anthropic-Cybersecurity-Skills

Static analysis workflow using apktool, jadx, and androguard to decompile Android APK malware, inspect manifests, permissions, APIs, and produce structured IOC/risk reports for SOC investigators.

Mobile App Penetration Test

conducting-mobile-app-penetration-test

mukul975/Anthropic-Cybersecurity-Skills

Performs OWASP MASTG-aligned penetration testing on iOS and Android apps, combining binary static analysis, dynamic interception with Burp/Frida, and API/data storage reviews to uncover insecure storage, communication, or authentication flaws before release.

Mobile App Penetration Testing

conducting-mobile-application-penetration-test

mukul975/Anthropic-Cybersecurity-Skills

Guide for performing Android and iOS mobile application penetration testing with OWASP MASTG/MASVS, covering static/dynamic analysis, data storage checks, API abuse, and runtime manipulation using Frida, Objection, and MobSF.

Mobile Malware Behavior Detection

detecting-mobile-malware-behavior

mukul975/Anthropic-Cybersecurity-Skills

Detects and analyzes malicious behavior in Android and iOS apps through static, MobSF, Frida, and network monitoring workflows, helping analysts triage suspicious builds, hunt indicators, and validate exfiltration or C2 signals during incident response.

Mobile Deep Link Exploitation

exploiting-deeplink-vulnerabilities

mukul975/Anthropic-Cybersecurity-Skills

Guides security testers through discovering and abusing Android and iOS deep link handling flaws—custom URI schemes, App/Universal Links, intent hijacking, and WebView payloads—to evaluate unauthorized access and injection risks in mobile apps.

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