mongoose-mongodb
MongoDB object modeling in Node.js with schema validation, relationships, and advanced queries.
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Install Skill
Run in your terminal
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What it does
Covers schema design with field validation, CRUD operations, and relationship management through references and population
Includes middleware hooks, virtual properties, indexes, and aggregation pipelines for complex data transformations
Supports query operators for filtering, logical operations, and regex matching across documents
Best practices include environment-based connection man
Installation Guide
How to use mongoose-mongodb on Cursor
AI-first code editor with Composer
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
mongoose-mongodb
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches mongoose-mongodb from pluginagentmarketplace/custom-plugin-nodejs and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate mongoose-mongodb. Access via /mongoose-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
Mongoose & MongoDB Skill
Master MongoDB database integration in Node.js with Mongoose, the elegant object modeling library.
Quick Start
Connect and CRUD in 4 steps:
- Install -
npm install mongoose - Connect -
mongoose.connect(uri) - Define Schema - Create data models
- CRUD - Create, Read, Update, Delete
Core Concepts
Connection Setup
const mongoose = require('mongoose');
mongoose.connect(process.env.MONGODB_URI, {
useNewUrlParser: true,
useUnifiedTopology: true
});
mongoose.connection.on('connected', () => {
console.log('MongoDB connected');
});
Schema & Model
const userSchema = new mongoose.Schema({
name: {
type: String,
required: [true, 'Name is required'],
trim: true,
minlength: 3,
maxlength: 50
},
email: {
type: String,
required: true,
unique: true,
lowercase: true
},
age: {
type: Number,
min: 18,
max: 120
},
role: {
type: String,
enum: ['user', 'admin'],
default: 'user'
}
}, {
timestamps: true // createdAt, updatedAt
});
const User = mongoose.model('User', userSchema);
CRUD Operations
// Create
const user = await User.create({
name: 'John Doe',
email: '[email protected]'
});
// Read
const users = await User.find({ age: { $gte: 18 } });
const user = await User.findById(id);
const user = await User.findOne({ email: '[email protected]' });
// Update
const updated = await User.findByIdAndUpdate(
id,
{ name: 'Jane Doe' },
{ new: true, runValidators: true }
);
// Delete
await User.findByIdAndDelete(id);
await User.deleteMany({ age: { $lt: 18 } });
Relationships & Population
const postSchema = new mongoose.Schema({
title: String,
content: String,
author: {
type: mongoose.Schema.Types.ObjectId,
ref: 'User'
}
});
// Populate relationship
const post = await Post.findById(id).populate('author');
// post.author is now full user object
Learning Path
Beginner (2-3 weeks)
- ✅ Install MongoDB and Mongoose
- ✅ Create schemas and models
- ✅ CRUD operations
- ✅ Basic queries
Intermediate (4-5 weeks)
- ✅ Relationships and population
- ✅ Validation and middleware
- ✅ Indexes for performance
- ✅ Query operators
Advanced (6-8 weeks)
- ✅ Aggregation pipelines
- ✅ Transactions
- ✅ Schema design patterns
- ✅ Performance optimization
Advanced Features
Indexes
userSchema.index({ email: 1 }, { unique: true });
userSchema.index({ name: 1, age: -1 });
Middleware (Hooks)
userSchema.pre('save', async function(next) {
if (this.isModified('password')) {
this.password = await bcrypt.hash(this.password, 10);
}
next();
});
Virtual Properties
userSchema.virtual('fullName').get(function() {
return `${this.firstName} ${this.lastName}`;
});
Aggregation Pipeli
List & Monetize Your Skill
Submit your Claude Code skill and start earning
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
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 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
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- MMaya Lopez★★★★★Dec 24, 2024
mongoose-mongodb is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- NNoah Wang★★★★★Dec 16, 2024
mongoose-mongodb reduced setup friction for our internal harness; good balance of opinion and flexibility.
- CChaitanya Patil★★★★★Dec 8, 2024
mongoose-mongodb has been reliable in day-to-day use. Documentation quality is above average for community skills.
- PPiyush G★★★★★Nov 27, 2024
mongoose-mongodb reduced setup friction for our internal harness; good balance of opinion and flexibility.
- AAdvait Thompson★★★★★Nov 15, 2024
Keeps context tight: mongoose-mongodb is the kind of skill you can hand to a new teammate without a long onboarding doc.
- LLucas Perez★★★★★Nov 11, 2024
Registry listing for mongoose-mongodb matched our evaluation — installs cleanly and behaves as described in the markdown.
- AAditi Harris★★★★★Nov 7, 2024
mongoose-mongodb has been reliable in day-to-day use. Documentation quality is above average for community skills.
- MMia Ramirez★★★★★Nov 3, 2024
mongoose-mongodb reduced setup friction for our internal harness; good balance of opinion and flexibility.
- BBenjamin Martinez★★★★★Oct 26, 2024
mongoose-mongodb fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- SShikha Mishra★★★★★Oct 18, 2024
We added mongoose-mongodb from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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