mongodb

MongoDB and Mongoose schema design, querying, aggregation pipelines, and performance optimization.

hoodini/ai-agents-skillsUpdated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/hoodini/ai-agents-skills --skill mongodb

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installs

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this week

151

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What it does

  • Covers both native MongoDB driver and Mongoose ODM with connection setup, CRUD operations, and graceful shutdown patterns

  • Schema design guidance including embedded vs. referenced documents, virtuals, validation, indexes, and text search configuration

  • Query operations with 20+ operators (comparison, logical, array, regex) plus find, update, and upsert patterns with query builders

  • Aggr

Category

Backend

Last updated

Apr 8, 2026

Installation Guide

How to use mongodb on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add mongodb
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/hoodini/ai-agents-skills --skill mongodb

Fetches mongodb from hoodini/ai-agents-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/mongodb

Restart Cursor to activate mongodb. Access via /mongodb in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

MongoDB & Mongoose

Build and query MongoDB databases with best practices.

Quick Start

npm install mongodb mongoose

Native Driver

import { MongoClient, ObjectId } from 'mongodb';

const client = new MongoClient(process.env.MONGODB_URI!);
const db = client.db('myapp');
const users = db.collection('users');

// Connect
await client.connect();

// CRUD Operations
await users.insertOne({ name: 'Alice', email: '[email protected]' });
const user = await users.findOne({ email: '[email protected]' });
await users.updateOne({ _id: user._id }, { $set: { name: 'Alice Smith' } });
await users.deleteOne({ _id: user._id });

Mongoose Setup

import mongoose from 'mongoose';

await mongoose.connect(process.env.MONGODB_URI!, {
  maxPoolSize: 10,
  serverSelectionTimeoutMS: 5000,
  socketTimeoutMS: 45000,
});

// Connection events
mongoose.connection.on('connected', () => console.log('MongoDB connected'));
mongoose.connection.on('error', (err) => console.error('MongoDB error:', err));
mongoose.connection.on('disconnected', () => console.log('MongoDB disconnected'));

// Graceful shutdown
process.on('SIGINT', async () => {
  await mongoose.connection.close();
  process.exit(0);
});

Schema Design

Basic Schema

import mongoose, { Schema, Document, Model } from 'mongoose';

interface IUser extends Document {
  email: string;
  name: string;
  password: string;
  role: 'user' | 'admin';
  profile: {
    avatar?: string;
    bio?: string;
  };
  createdAt: Date;
  updatedAt: Date;
}

const userSchema = new Schema<IUser>({
  email: {
    type: String,
    required: [true, 'Email is required'],
    unique: true,
    lowercase: true,
    trim: true,
    match: [/^\S+@\S+\.\S+$/, 'Invalid email format'],
  },
  name: {
    type: String,
    required: true,
    trim: true,
    minlength: 2,
    maxlength: 100,
  },
  password: {
    type: String,
    required: true,
    select: false,  // Never return password by default
  },
  role: {
    type: String,
    enum: ['user', 'admin'],
    default: 'user',
  },
  profile: {
    avatar: String,
    bio: { type: String, maxlength: 500 },
  },
}, {
  timestamps: true,  // Adds createdAt, updatedAt
  toJSON: {
    transform(doc, ret) {
      delete ret.password;
      delete ret.__v;
      return ret;
    },
  },
});

// Indexes
userSchema.index({ email: 1 });
userSchema.index({ createdAt: -1 });
userSchema.index({ name: 'text', 'profile.bio': 'text' });  // Text search

const User: Model<IUser> = mongoose.model('User', userSchema);

Embedded Documents vs References

// ✅ Embed when: Data is read together, doesn't grow unbounded
const orderSchema = new Schema({
  customer: {
    name: String,
    email: String,
    address: {
      street: String,
      city: String,
      country: String,
    },
  },
  items: [

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.454 reviews
  • C
    Chaitanya PatilDec 28, 2024

    We added mongodb from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • M
    Mia MehtaDec 28, 2024

    mongodb has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • A
    Ama HaddadDec 24, 2024

    Useful defaults in mongodb — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • S
    Sakura WhiteDec 16, 2024

    I recommend mongodb for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • A
    Aanya HarrisDec 4, 2024

    Keeps context tight: mongodb is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • A
    Aditi HarrisNov 23, 2024

    I recommend mongodb for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • P
    Piyush GNov 19, 2024

    mongodb fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • C
    Charlotte HaddadNov 11, 2024

    mongodb has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • V
    Valentina BhatiaNov 7, 2024

    Keeps context tight: mongodb is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • R
    Ren SethiOct 26, 2024

    Registry listing for mongodb matched our evaluation — installs cleanly and behaves as described in the markdown.

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