database-schema-design

secondsky/claude-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/secondsky/claude-skills --skill database-schema-design
0 commentsdiscussion
summary

Comprehensive database schema design patterns for PostgreSQL and MySQL with normalization, relationships, constraints, and error prevention.

skill.md

database-schema-design

Comprehensive database schema design patterns for PostgreSQL and MySQL with normalization, relationships, constraints, and error prevention.


Quick Start (10 Minutes)

Step 1: Choose your schema pattern from templates:

# Basic schema with users, products, orders
cat templates/basic-schema.sql

# Relationship patterns (1:1, 1:M, M:M)
cat templates/relationships.sql

# Constraint examples
cat templates/constraints.sql

# Audit patterns
cat templates/audit-columns.sql

Step 2: Apply normalization rules (at minimum 3NF):

  • 1NF: No repeating groups, atomic values
  • 2NF: No partial dependencies on composite keys
  • 3NF: No transitive dependencies
  • Load references/normalization-guide.md for detailed examples

Step 3: Add essential elements to every table:

CREATE TABLE your_table (
  -- Primary key (required)
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),

  -- Business columns with proper types
  name VARCHAR(200) NOT NULL,  -- Use appropriate lengths

  -- Audit columns (always include)
  created_at TIMESTAMPTZ DEFAULT NOW() NOT NULL,
  updated_at TIMESTAMPTZ DEFAULT NOW() NOT NULL
);

Critical Rules

✓ Always Do

Rule Reason
Every table has PRIMARY KEY Ensures row uniqueness, enables relationships
Foreign keys defined explicitly Enforces referential integrity, prevents orphans
Index all foreign keys Prevents slow JOINs, critical for performance
NOT NULL on required fields Data integrity, prevents NULL pollution
Audit columns (created_at, updated_at) Track changes, debugging, compliance
Appropriate data types Storage efficiency, validation, indexing
Check constraints for enums Enforces valid values at database level
ON DELETE/UPDATE rules specified Prevents accidental data loss or orphans

✗ Never Do

Anti-Pattern Why It's Bad
VARCHAR(MAX) everywhere Wastes space, slows indexes, no validation
Dates as VARCHAR No date math, no validation, sorting broken
Missing foreign keys No referential integrity, orphaned records
Premature denormalization Hard to maintain, data anomalies
EAV (Entity-Attribute-Value) Query complexity, no type safety, slow
Polymorphic associations No foreign key integrity, complex queries
Circular dependencies Impossible to populate, breaks CASCADE
No indexes on foreign keys Extremely slow JOINs, performance killer

Top 7 Critical Errors

Error 1: Missing Primary Key

Symptom: Cannot uniquely identify rows, duplicate data Fix:

-- ❌ Bad
CREATE TABLE users (
  email VARCHAR(255),
  name VARCHAR(100)
);

-- ✅ Good
CREATE TABLE users (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  email VARCHAR(255) UNIQUE NOT NULL,
  name VARCHAR(100) NOT NULL
);

Error 2: No Foreign Key Constraints

Symptom: Orphaned records, data inconsistency Fix:

-- ❌ Bad
CREATE TABLE orders (
  id UUID PRIMARY KEY,
  user_id UUID  -- No constraint!
);

-- ✅ Good
CREATE TABLE orders (
  id UUID PRIMARY KEY,
  user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE
);

-- Index the foreign key
CREATE INDEX idx_orders_user_id ON orders(user_id);

Error 3: VARCHAR(MAX) Everywhere

Symptom: Wasted space, slow indexes, no validation Fix:

-- ❌ Bad
CREATE TABLE products (
  name VARCHAR(MAX),
  sku VARCHAR(MAX),
  status VARCHAR(MAX)
);

-- ✅ Good
CREATE TABLE products (
  name VARCHAR(200) NOT NULL,
  sku VARCHAR(50) UNIQUE NOT NULL,
  status VARCHAR(20) NOT NULL
    CHECK (status IN ('draft', 'active', 'archived'))
);

Error 4: Wrong Data Types (Dates as Strings)

Symptom: No date validation, broken sorting, no date math Fix:

-- ❌ Bad
CREATE TABLE events (
  event_date VARCHAR(50)  -- '2025-12-15' or 'Dec 15, 2025'?
);

-- ✅ Good
CREATE TABLE events (
  event_date DATE NOT NULL,  -- Validated, sortable
  event_time TIMESTAMPTZ     -- With timezone
);

Error 5: No Indexes on Foreign Keys

Symptom: Extremely slow JOINs, poor query performance Fix:

-- Always index foreign keys
CREATE TABLE order_items (
  order_id UUID NOT NULL REFERENCES orders(id),
  product_id UUID NOT NULL REFERENCES products(id)
);

-- ✅ Required indexes
CREATE INDEX idx_order_items_order_id ON order_items(order_id);
CREATE INDEX idx_order_items_product_id ON order_items(product_id);

Error 6: Missing Audit Columns

Symptom: Cannot track when records created/modified Fix:

-- ❌ Bad
CREATE TABLE products (
  id UUID PRIMARY KEY,
  name VARCHAR(200)
);

-- ✅ Good
CREATE TABLE products (
  id UUID PRIMARY KEY,
  name VARCHAR(200) NOT NULL,
  created_at TIMESTAMPTZ DEFAULT NOW() NOT NULL,
  updated_at TIMESTAMPTZ DEFAULT NOW() NOT NULL
);

-- Auto-update trigger (PostgreSQL)
CREATE TRIGGER products_updated_at
BEFORE UPDATE ON products
FOR EACH ROW
EXECUTE FUNCTION update_updated_at_column();

Error 7: EAV Anti-Pattern

Symptom: Complex queries, no type safety, slow performance Fix:

-- ❌ Bad (EAV)
CREATE TABLE product_attributes (
  product_id UUID,
  attribute_name VARCHAR(100),  -- 'color', 'size', 'price'
  attribute_value TEXT           -- Everything as text!
);

-- ✅ Good (Structured + JSONB)
CREATE TABLE products (
  id UUID PRIMARY KEY,
  name VARCHAR(200) NOT NULL,
  price DECIMAL(10,2) NOT NULL,  -- Required fields as columns
  color VARCHAR(50),              -- Common attributes as columns
  size VARCHAR(20),
  attributes JSONB                -- Optional/dynamic attributes
);

-- Index JSONB
CREATE INDEX idx_products_attributes ON products USING GIN(attributes);

Load references/error-catalog.md for all 12 errors with detailed fixes.


Common Schema Patterns

<
how to use database-schema-design

How to use database-schema-design 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 development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add database-schema-design
2

Execute installation command

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

$npx skills add https://github.com/secondsky/claude-skills --skill database-schema-design

The skills CLI fetches database-schema-design from GitHub repository secondsky/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/database-schema-design

Reload or restart Cursor to activate database-schema-design. Access the skill through slash commands (e.g., /database-schema-design) or your agent's skill management interface.

Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

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

Installation Steps

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

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.842 reviews
  • Arjun Harris· Dec 28, 2024

    Registry listing for database-schema-design matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Lucas Taylor· Dec 24, 2024

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

  • Omar Okafor· Dec 12, 2024

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

  • Advait Huang· Nov 27, 2024

    database-schema-design is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Rahul Santra· Nov 23, 2024

    database-schema-design is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Arjun Bhatia· Nov 19, 2024

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

  • Omar Park· Nov 3, 2024

    database-schema-design reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Noor Bansal· Oct 22, 2024

    Registry listing for database-schema-design matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Jin Sanchez· Oct 18, 2024

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

  • Pratham Ware· Oct 14, 2024

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

showing 1-10 of 42

1 / 5