YouTube MCP for Claude & ChatGPT
TubeLab은 Claude와 ChatGPT용 YouTube MCP 서버로, 실제 채널·바이럴 영상·전사 등을 AI 채팅에서 제공합니다
제품 설계·소프트웨어 배포·Laravel·보안·AI·데이터베이스·데이터 운영·분석용 재사용 AI 에이전트 스킬 라이브러리가 늘어나고 있습니다
A growing library of reusable AI agent skills for product design, software delivery, Laravel, security, AI systems, databases, data operations, and analytics.
스킬GitHub @Yaz-inc온라인운영자 미확인
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아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
A Growing Arsenal of Agent Skills. Uncompromising Software Architecture | Curated AI agent workflows and skills for Cursor, Claude Code, and Antigravity to accelerate software delivery and security audits
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Looking for the designed homepage? Open the Yazinc AI Toolkit landing page. This repository contains the source files and installable skills.
Public AI-agent skill library created by Yasir Ikram and maintained by Yaz Inc. It provides reusable skills, patterns, templates, and scripts for Codex, Cursor, Claude Code, Antigravity, and other Agent Skills-compatible tools. The library is designed to keep growing as new, proven workflows are developed.
The interactive toolkit makes every skill approachable for first-time developers and experienced teams alike. Each skill card provides three clear actions:
There is no need to memorize commands, installation folders, or agent-specific syntax. Install the toolkit once, choose a skill, copy the suggested prompt, and describe the result you need in your active project.
The landing page also provides a small, curated set of outcome-based technology playbooks. Each one explains what the solution pattern is, how to apply it safely, and provides a copy-ready starter prompt with official references. Playbooks are guidance, not installable skills, so the main skills catalog remains focused and easy to navigate.
Reusable prompts: Use prompts/google-sans-website-agent.md to instruct a development agent to implement and verify Google Sans correctly.
| What | Central repo for agent skills and proven dev patterns |
| Why | Start each new project from scaffolding you already trust; push learnings back after each delivery |
| Who | Developers and AI-agent users who need reusable, inspectable workflows |
git clone https://github.com/Yaz-inc/yazinc-ai-toolkit.git; cd yazinc-ai-toolkit; powershell -NoProfile -ExecutionPolicy Bypass -File .\scripts\install-toolkit.ps1 -Target allUse the test-software-app skill to audit this application before launch.git pull; powershell -NoProfile -ExecutionPolicy Bypass -File .\scripts\install-toolkit.ps1 -Target allRead AGENTS.md first. It explains the public repository rules, installation method, validation requirements, and publishing checklist.
Meta-skill for contributing: skills/extract-to-toolkit/SKILL.md
yazinc-ai-toolkit/
├── AGENTS.md ← agents read this on open
├── WORKFLOW.md ← generalize, validate, commit, publish
├── INDEX.md ← canonical skill catalog
├── projects/REGISTRY.md ← public provenance policy
├── skills/ ← reusable SKILL.md folders
├── patterns/ ← detailed implementation guidance
├── templates/ ← safe reusable examples
└── scripts/ ← installation and validation helpers
INDEX.md, projects/REGISTRY.md, and the landing-page catalog