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enterprise-user-management-system-ai-analytics — Claude Code skill

This skill outlines a user management app with task tracking, support tickets, and ML analytics. Use it when planning authentication, admin views, or workload and risk analysis.

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

What enterprise-user-management-system-ai-analytics does

The skill describes a full-stack design with a React.js interface, a Node.js REST API backed by MongoDB and JWT, and a separate FastAPI service for ML. Its data models cover users, tasks, and tickets; the analytics focus on risks, anomalies, burnout, and project predictions.

The ML section names scikit-learn and River. Setup uses a MongoDB URI and JWT secret, and the ML service installs its Python packages from requirements.txt. The API needs a reachable MongoDB instance to connect. Treat this as an implementation guide with setup examples, not as a ready-to-run application.

What it helps with

  • plan APIs for users, tasks, and support tickets
  • add JWT authentication and role-based access
  • outline an admin dashboard for user analytics
  • design ML analysis for risk and workload
  • split an app into frontend, backend, and ML services

Example prompts for the agent

  • Plan a user management app with JWT authentication and role-based access.
  • Outline an admin dashboard for tasks and user workload analytics.
  • Design an ML service that classifies tickets and detects user risks.

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

1Skills CLI (Vercel)

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

2Manually: put the files in place

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

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

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

Questions about enterprise-user-management-system-ai-analytics

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

Run npx skills add reason-machines/data-skills --skill enterprise-user-management-system-ai-analytics -a claude-code. The skill file is located at ~/.claude/skills/enterprise-user-management-system-ai-analytics/SKILL.md.

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

It guides the design of an app for managing users, tasks, and support tickets with ML analytics. The described architecture uses React.js, Node.js, MongoDB, JWT, and a separate FastAPI service.

What is needed to configure the system?

The backend setup uses a MongoDB URI and JWT secret. The ML service installs Python packages from requirements.txt, while the frontend and backend use environment variables.

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