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AI-Automation

Welcome to the AI Automation workspace – a curated collection of cutting-edge, production-ready AI solutions for enterprise productivity, document intelligence, workflow automation, and developer augmentation.

Install / Use

claude mcp add er-jyotsnabharti -- npx -y github:er-jyotsnabharti/AI-Automation

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

67/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop
GitHub Copilot

Our assessment of AI-Automation

AI-Automation scores 67/100 on our quality scale, 2687th of 2,893 Automation skills we index.

Its MCP Server is 3.5 KB long, well organised into 10 sections and no code examples: a solid amount of guidance for an agent.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
26/30
Structure
13/20
Description
15/15
Adoption
3/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 11 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 74/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

AI-Automation compared with similar skills

All 4 of these similar skills score higher than AI-Automation; compare them before choosing.

SkillScoreStarsUpdatedFormat
AI-Automation (this skill)by er-jyotsnabharti67311mo agoMCP Server
Agent-Reachby Panniantong100100.1ktodayCLAUDE.md
headroomby headroomlabs-ai10076.5ktodayCLAUDE.md
CowAgentby zhayujie10047.5ktodayCLAUDE.md
Scraplingby D4Vinci10088.8k1d agoMCP Server

Frequently asked questions

How do I install AI-Automation?
Run claude mcp add er-jyotsnabharti -- npx -y github:er-jyotsnabharti/AI-Automation. The install tabs above show the steps for each supported agent.
Which AI agents does AI-Automation work with?
It is written for Claude Code, Claude Desktop and GitHub Copilot, as a MCP Server file. Other agents that read the same format can often use it too.
Is AI-Automation safe to use?
It declares no license and scores 74/100 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 AI-Automation still maintained?
The repository was last updated about 11 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.

🤖 AI Automation Workspace

Welcome to the AI Automation workspace – a curated collection of cutting-edge, production-ready AI solutions for enterprise productivity, document intelligence, workflow automation, and developer augmentation.

This repository brings together multiple projects, each leveraging state-of-the-art AI models, automation platforms, and integration frameworks. Whether you’re optimizing resumes for ATS, building RAG chatbots, or connecting AI agents with developer tools, you’ll find modular, extensible solutions here.


📚 Index

| # | Project | Description | | - | --------------------------------------------------------------------------------------------- | ----------------------------------------------- | | 1 | AI Agent for ATS Optimization | Automate resume analysis & optimization for ATS | | 2 | RAG Chatbot for Company Documents | Conversational search over Google Drive docs | | 3 | MCP Server with AgentPass AI | No-code tool server for Claude & Copilot |


🚀 Workspace Highlights

  • Enterprise-Ready: Modular projects for HR, knowledge management, and developer productivity.
  • No-Code/Low-Code: Visual workflow editors (n8n, AgentPass AI) for rapid prototyping.
  • AI-Powered: Google Gemini, Claude, and Copilot integrations for intelligent automation.
  • Seamless Integrations: Connects with Google Drive, Gmail, Pinecone, and more.

🏗️ Project Overviews

1. AI Agent for ATS Optimization 🚀

Automates resume analysis against job descriptions using n8n and Google Gemini. Calculates ATS match scores, extracts missing keywords, and rewrites LaTeX resumes for improved compatibility. Includes automated email delivery and keyword inclusion reports.

Tech Stack: n8n, Google Gemini, Gmail API, LaTeX Use Cases: Resume optimization, HR automation, candidate screening


2. RAG Chatbot for Company Documents 📂

Builds a Retrieval-Augmented Generation chatbot that indexes Google Drive documents into Pinecone using Gemini embeddings. Enables conversational, context-aware search over company resources.

Tech Stack: n8n, Google Drive API, Google Gemini, Pinecone, LangChain Use Cases: Knowledge base search, policy retrieval, support automation


3. MCP Server with AgentPass AI ⚡

Create and host Model Context Protocol (MCP) servers visually with AgentPass AI. Integrate custom endpoints with VS Code Copilot and Claude for real-time tool execution inside developer environments.

Tech Stack: AgentPass AI, MCP, VS Code Copilot, Claude Use Cases: Developer augmentation, tool orchestration, workflow automation


✨ Getting Started

  1. Browse the Index: Explore each project via the links above.
  2. Setup Prerequisites: Review each README for setup instructions and required API keys.
  3. Import Workflows: Use provided workflow files for n8n and AgentPass AI.
  4. Customize & Deploy: Adapt solutions for your organization’s needs.

🤝 Contributing

We welcome contributions! Open issues or submit pull requests to improve workflows, add integrations, or enhance documentation.


📜 License

MIT License – Use, modify, and share freely.


Related Skills

View on GitHub
GitHub Stars3
CategoryAutomation
Updated11mo ago
Forks0

Trust signals

74/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium2 low
AI-Automation — MCP Server: Install & Safety Check | SkillAgent