generative-ai
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Install / Use
claude mcp add genieincodebottle -- npx -y github:genieincodebottle/generative-aiIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Our assessment of generative-ai
generative-ai scores 88/100 on our quality scale, 1475th of 2,863 Automation skills we index.
Its MCP Server is 13 KB long, well organised into 20 sections and no code examples: a thorough specification that gives an agent plenty to work with.
With 2,667 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 10 days ago, so generative-ai is actively maintained.
- Our last check on 2026-10-17 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
generative-ai compared with similar skills
All 4 of these similar skills score higher than generative-ai; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| generative-ai (this skill)by genieincodebottle | 88 | 2.7k | 10d ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.8k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 97.9k | today | MCP Server |
Frequently asked questions
- How do I install generative-ai?
- Run
claude mcp add genieincodebottle -- npx -y github:genieincodebottle/generative-ai. The install tabs above show the steps for each supported agent. - Which AI agents does generative-ai work with?
- It is written for Claude Code, Claude Desktop and Gemini CLI, as a MCP Server file. Other agents that read the same format can often use it too.
- Is generative-ai safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is generative-ai still maintained?
- The repository was last updated 10 days ago, so generative-ai is actively maintained.
Skill content
View source on GitHub🎯 Learn AI/ML Interactively
I built AI-ML Companion - every AI, ML, GenAI and Agentic AI concept covered here, taught visually with animated diagrams, quizzes, and hands-on Python. The guides below are the full, continuously-updated versions of the reference material in this repo.
400+ modules • 28 tracks • 23 real-world projects • free to start
📚 Table of Contents
📖 Documentation & Learning Resources
🎯 Getting Started
- AI-ML Companion - Interactive AI/ML learning platform with 28 tracks, 400+ modules, visualizations, quizzes, and hands-on coding (ML fundamentals → LLMs → MLOps)
- GenAI Roadmap - Your complete learning path for GenAI (interactive) · markdown
- AI/ML Roadmap - Comprehensive AI/ML learning · PDF
🧠 Core Concepts
- Vector Embeddings - Understanding vector representations (PDF)
- Prompt Engineering - Crafting effective prompts (notebook)
- AI Patterns - Top 25 AI design patterns (PDF)
- ML Reference Guide - Machine learning reference (PDF)
🏗️ Architecture & Technical Stack
- GenAI Tech Stacks - Technology stack overview
- LLM Providers - Comparison of LLM providers
- Advanced RAG Decision Flow - RAG architecture guide
- GenAI Project Lifecycle - End-to-end project guide
☁️ Cloud Platform Guides
- GenAI on AWS - AWS implementation | GitHub | YouTube
- GenAI on Azure - Azure implementation guide
- GenAI on VertexAI - Google Cloud Vertex AI guide
💼 Career & Interview Preparation
Interview Q&A track - 20 always-current Q&A modules across ML, GenAI, and Agentic AI (free preview questions, full sets with Pro). The PDFs below are downloadable companions to these live modules.
- GenAI & Transformers Q&A - GenAI and transformer interview prep · PDF
- RAG, Prompting & Modern GenAI Q&A - Retrieval, prompting and applied GenAI
- LLM Interview Prep - Core LLM questions · Scenario-based
- Agentic AI Interview Prep - Agent-specific interview prep · PDF
- Agentic AI Scenario Q&A - Multi-agent scenarios · 90+ Q&A (PDF)
- ML System Design Q&A - System design for ML/AI roles
- Also in the track: Classical ML • Deep Learning • MLOps • ML Math & Stats • ML Coding • Forward Deployed Engineering
- AI Roles & Important Topics - Career paths and topics (PDF)
🚀 Production & Enterprise
- GenAI Enterprise Production Checklist - Production readiness guide
🛠️ Practical Use Cases & Projects
🔍 Retrieval-Augmented Generation (RAG)
- Advanced RAG - Comprehensive RAG techniques including agentic, graph, multimodal, and 9 advanced patterns (corrective RAG, hybrid search, query expansion, etc.)
- Cache-Augmented Generation - Alternative to RAG using context caching for faster responses
🤖 Agentic AI & Orchestration
- Agentic AI - Multi-agent systems with CrewAI & LangGraph frameworks
- Tura - Local, open-source coding agent with CLI, TUI, web, and desktop interfaces for context-aware development workflows
- AI Patterns - 23 advanced reasoning patterns (Chain-of-Thought, ReAct, Tree-of-Thought, Meta-Prompting, etc.)
- MCP - Model Context Protocol - Standard protocol for LLM tool interoperability with web search
- Multi-Agentic Prod Grade Content Moderation System - AI-Powered Multi-Agentic Content Moderation System with React Frontend
- Handling Latency in Multi-Agentic System - How to handle Latency in Multi-Agentic System
- agent-qa - Self-improving QA agent for natural-language web/mobile tests with persistent memory, MCP, and Agent Skills
- YYLO - Command-line orchestrator for coding agents with typed task, validation, merge, and release-readiness boundaries in a dedicated branch/worktree
💬 Conversational AI
- Chatbot with Memory - PDF chatbot using local models with persistent conversation memory
- Conversational Analytics - Full-stack app analyzing customer feedback (React + FastAPI + PostgreSQL)
🔧 LLM Providers & Tools
- LLM Providers - Compare OpenAI, Gemini, Claude, Groq + local models (Ollama, HuggingFace)
- Embedding Models - Guide to vector embeddings with Google, OpenAI, and HuggingFace
📊 Data & Analytics Applications
- Text-to-SQL - Convert natural language to SQL queries with visualization
- Graph Q&A - Query Neo4j graph databases using natural language
- Sentiment Analysis - Analyze customer call transcripts for sentiment and aggressiveness
- Your AI Chat Analytics - Chat analytics dashboard
🎨 Prompt Engineering & Security
- Prompt Engineering - 16+ techniques from basics to APE (Automatic Prompt Engineer)
- Prompt Guard - Detect prompt injections and jailbreak attempts using Meta's Llama Guard
🖼️ Multimodal & Specialized
- Gemini Nano Banana - Text-to-image generation with Gemini 2.5 Flash Image
- Llama 4 Multi-Function App - All-in-one app: chat, OCR, RAG, and agentic AI
⚡ Automation
- n8n Automation - Setup and usage guide for n8n workflow automation platform
🔗 Quick Access Links
| Category | Resources | |----------|-----------| | Learning Platform | AI-ML Companion - Interactive AI/ML learning with 28 tracks, 400+ modules, quizzes & coding
Truncated for display — read the full file on GitHub.
Related Skills
Agent-Reach
109.2kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
78.9kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
CowAgent
47.8kOpen-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
Scrapling
97.9k🕷️ The BEST Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.