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enterprise-user-management-ai-analytics — Claude Code skill: install

This skill guides a full-stack user management app with task workflows, support tickets, and ML analysis. Use it when a project needs risk and anomaly signals.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓ 
npx skills add reason-machines/data-skills --skill enterprise-user-management-ai-analytics -a claude-code
Open on GitHub

What enterprise-user-management-ai-analytics does

The skill lays out an application with a React.js dashboard, a Node.js REST API, JWT-based access, and MongoDB persistence. The planned features cover account registration and login, admin user operations, task status changes, and support ticket handling.

Machine learning runs in a separate FastAPI service that uses scikit-learn and River. Its role is to support risk checks, anomaly detection, burnout analysis, and project predictions. Before starting the stack, have Node.js v14+, Python 3.8+, and a running MongoDB instance ready.

The application cannot use its data layer until MongoDB is running.

What it helps with

  • assemble an admin and user dashboard
  • add JWT registration and login
  • track tasks through status changes
  • manage support tickets
  • connect ML-based risk and anomaly analysis

Example prompts for the agent

  • Build a full-stack user management app with React.js, Node.js, MongoDB, and AI analytics.
  • Add JWT authentication, task tracking with statuses, and a support ticket area.
  • Create a FastAPI ML service using scikit-learn and River for risk, anomaly, and burnout analysis.

How to install enterprise-user-management-ai-analytics

1Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill enterprise-user-management-ai-analytics -a claude-code

2Manually: put the files in place

~/.claude/skills/enterprise-user-management-ai-analytics/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/enterprise-user-management-ai-analytics/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about enterprise-user-management-ai-analytics

How do I install enterprise-user-management-ai-analytics in Claude Code?

Run npx skills add reason-machines/data-skills --skill enterprise-user-management-ai-analytics -a claude-code, then open ~/.claude/skills/enterprise-user-management-ai-analytics/SKILL.md.

What does enterprise-user-management-ai-analytics do?

It guides a user management system with JWT authentication, tasks, support tickets, and a separate ML service. The described stack uses React.js, Node.js, FastAPI, and MongoDB.

What does the project need before it can run?

The setup requires Node.js v14+, Python 3.8+, and a running MongoDB instance. The ML service installs packages from requirements.txt.

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