What is nosql-database-design?

A guide to designing NoSQL databases, including MongoDB document collections and DynamoDB key-value tables. It covers how data is structured, stored, indexed, and queried.

Use it to plan collections, documents, indexes, denormalized data, and MongoDB or DynamoDB data models.

It helps choose between embedding and linking data and shape the schema around the application's query patterns.

nosql-database-design — Skill for Claude Code and Codex by aj-geddes

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add aj-geddes/useful-ai-prompts --skill nosql-database-design

Clone the repo

git clone --depth 1 https://github.com/aj-geddes/useful-ai-prompts

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/nosql-database-design/github.svg)](https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/nosql-database-design)

Your own site

<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/nosql-database-design"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/nosql-database-design/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/nosql-database-design"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/nosql-database-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 547 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

Socket pass 16 Sept 2026
Snyk pass 16 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00034	$0.00547
Opus 5.5	$0.00014	$0.00219
Sonnet 5.5	$0.00007	$0.00109
Haiku 4.5	$0.00003	$0.00055

Measured 2mo ago against content hash 1f4c62040bbc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nosql-database-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate-schema.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/nosql-database-design/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Design scalable NoSQL schemas for MongoDB (document) and DynamoDB (key-value). Covers data modeling patterns, denormalization strategies, and query optimization for NoSQL systems.

When to Use

MongoDB collection design
DynamoDB table and index design
Document structure modeling
Embedding vs. referencing decisions
Query pattern optimization
NoSQL indexing strategies
Data denormalization planning

Quick Start

Minimal working example:

// Single document with embedded arrays
db.createCollection("users");

db.users.insertOne({
  _id: ObjectId("..."),
  email: "[email protected]",
  name: "John Doe",
  createdAt: new Date(),

  // Embedded address
  address: {
    street: "123 Main St",
    city: "New York",
    state: "NY",
    zipCode: "10001",
  },

  // Embedded array of items
  orders: [
    {
      orderId: ObjectId("..."),
      date: new Date(),
      total: 149.99,
    },
    {
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide	Contents
Document Structure Design	Document Structure Design
Indexing in MongoDB	Indexing in MongoDB
Schema Validation	Schema Validation
Table Structure	Table Structure
Global Secondary Indexes (GSI)	Global Secondary Indexes (GSI)
DynamoDB Item Operations	DynamoDB Item Operations

Best Practices

✅ DO

Follow established patterns and conventions
Write clean, maintainable code
Add appropriate documentation
Test thoroughly before deploying

Read the full file on GitHub · 93 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 93 lines · 34 tokens per session scan A 1f4c62040bbc

Subscribe to this mod's changes

nosql-database-design is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (376 stars, last pushed 8mo ago), licensed MIT. It adds 34 tokens to every session and 547 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Databases MongoDB

nosql-database-design next to 6 skills from other repositories
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nosql-database-design