# enterprise-user-management-system-ai-analytics

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.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 333 installs · ★ 5
- Author: reason-machines
- License: LicenseRef-Unknown · policy=link-only · description only; the file stays with the author
- Source: https://github.com/reason-machines/data-skills/tree/HEAD/skills/enterprise-user-management-system-ai-analytics/SKILL.md
- Updated: 2026-10-09
- HTML: https://affpapa.org/en/nevibecode/skills/enterprise-user-management-system-ai-analytics

## What it 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.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add reason-machines/data-skills --skill enterprise-user-management-system-ai-analytics -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.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/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add reason-machines/data-skills --skill enterprise-user-management-system-ai-analytics -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/enterprise-user-management-system-ai-analytics/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add reason-machines/data-skills --skill enterprise-user-management-system-ai-analytics -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/enterprise-user-management-system-ai-analytics/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install reason-machines/data-skills enterprise-user-management-system-ai-analytics
```

2. **Manually: put the files in place**
- File: `.github/skills/enterprise-user-management-system-ai-analytics/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add reason-machines/data-skills --skill enterprise-user-management-system-ai-analytics -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/reason-machines/data-skills --path skills/enterprise-user-management-system-ai-analytics
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/enterprise-user-management-system-ai-analytics/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add reason-machines/data-skills --skill enterprise-user-management-system-ai-analytics -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/reason-machines/data-skills/tree/HEAD/skills/enterprise-user-management-system-ai-analytics/SKILL.md

## When to use it
- 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
- 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.

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From the same set: [reason-machines/data-skills](https://affpapa.org/en/nevibecode/by/reason-machines/data-skills.md) — 74 cards

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md