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Lifestyle AI Skills

Discover Lifestyle skills, compare source repositories and read the instructions for each workflow.

Categories: Lifestyle

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GitHub

moai-library-toon

rdmptv

TOON Format Specialist - YAML-based token-efficient agent/workflow definitions inspired by BMAD Method patterns

GitHub

adb-magisk

rdmptv

Magisk Manager automation - app launching, module installation, Zygisk configuration

GitHub

moai-domain-adb

rdmptv

Comprehensive ADB (Android Debug Bridge) automation skill for game bot development, device management, computer vision integration, and Tauri-Python orchestration. Provides modular expertise for building intell...

GitHub

moai-workflow-jit-docs

rdmptv

Enhanced Just-In-Time document loading system that intelligently discovers, loads, and caches relevant documentation based on user intent and project context. Use when users need specific...

GitHub

moai-platform-baas

rdmptv

Comprehensive unified BaaS integration hub for 9 major providers (UV scripts migrated to builder-skill-uvscript)

GitHub

moai-foundation-uiux

rdmptv

Core UI/UX Foundation - Enterprise design systems, component architecture, accessibility, icons, and theming integration

GitHub

adb-bypass

rdmptv

PlayIntegrityFork bypass verification and validation for Play Integrity spoofing detection

GitHub

docusaurus-setup

bilalmk

This skill use to deploy the Docusaurus site on github pages, deploy site to GitHub Pages using a CI/CD pipeline with the GitHub CLI.

GitHub

frontend-design

bilalmk

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoid...

GitHub

rag-skill

bilalmk

Build and integrate production-ready RAG (Retrieval-Augmented Generation) chatbots into documentation sites using OpenAI, Qdrant Cloud, and Neon Postgres. Handles complete stack from backend API to frontend UI...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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