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nosql skill

/skills/database/nosql

This skill helps you implement secure, maintainable NoSQL database practices with clear patterns, testing, and observability across projects.

npx playbooks add skill williamzujkowski/standards --skill nosql

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SKILL.md
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---
name: nosql
description: Nosql standards for nosql in Database environments. Covers best practices,
---

# Nosql

> **Quick Navigation:**
> Level 1: [Quick Start](#level-1-quick-start) (5 min) → Level 2: [Implementation](#level-2-implementation) (30 min) → Level 3: [Mastery](#level-3-mastery-resources) (Extended)

---

## Level 1: Quick Start

### Core Principles

1. **Best Practices**: Follow industry-standard patterns for database
2. **Security First**: Implement secure defaults and validate all inputs
3. **Maintainability**: Write clean, documented, testable code
4. **Performance**: Optimize for common use cases

### Essential Checklist

- [ ] Follow established patterns for database
- [ ] Implement proper error handling
- [ ] Add comprehensive logging
- [ ] Write unit and integration tests
- [ ] Document public interfaces

### Quick Links to Level 2

- [Core Concepts](#core-concepts)
- [Implementation Patterns](#implementation-patterns)
- [Common Pitfalls](#common-pitfalls)

---

## Level 2: Implementation

### Core Concepts

This skill covers essential practices for database.

**Key areas include:**

- Architecture patterns
- Implementation best practices
- Testing strategies
- Performance optimization

### Implementation Patterns

Apply these patterns when working with database:

1. **Pattern Selection**: Choose appropriate patterns for your use case
2. **Error Handling**: Implement comprehensive error recovery
3. **Monitoring**: Add observability hooks for production

### Common Pitfalls

Avoid these common mistakes:

- Skipping validation of inputs
- Ignoring edge cases
- Missing test coverage
- Poor documentation

---

## Level 3: Mastery Resources

### Reference Materials

- [Related Standards](../../docs/standards/)
- [Best Practices Guide](../../docs/guides/)

### Templates

See the `templates/` directory for starter configurations.

### External Resources

Consult official documentation and community best practices for database.

Overview

This skill defines NoSQL standards and practical patterns for NoSQL databases in production systems. It focuses on secure defaults, maintainability, performance, and observable operations. The goal is to let teams start projects quickly with proven, battle-tested practices.

How this skill works

The skill inspects design choices, operational concerns, and implementation patterns relevant to NoSQL systems. It highlights architecture patterns, error handling, monitoring hooks, and testing strategies. It produces a concise checklist and recommended templates that teams can apply immediately.

When to use it

  • Starting a new NoSQL-backed project or microservice
  • Refactoring data models or access layers for scalability
  • Preparing a system for production with security and observability
  • Defining team-wide standards for database code and operations
  • Performing design reviews or onboarding new engineers

Best practices

  • Choose the data model that fits your query patterns, not vice versa
  • Enforce input validation and least-privilege access by default
  • Add robust error handling and graceful retries for transient failures
  • Instrument reads, writes, and latency with tracing and metrics
  • Write unit and integration tests that include schema and query behavior

Example use cases

  • Quick-start template for a new service using a document store and indexing patterns
  • Checklist for hardening access controls and encrypting data at rest
  • Guidance for migrating from relational to key-value or wide-column models
  • Observability plan that integrates metrics, logs, and distributed traces for NoSQL calls
  • Testing matrix that covers sharding, replication, and failover scenarios

FAQ

Does this skill prescribe a single NoSQL engine?

No. It provides engine-agnostic patterns and checklists so teams can apply them to document, key-value, columnar, or graph systems.

How do I validate this standard in CI?

Integrate unit and integration tests that run against lightweight instances or emulators, include schema and query assertions, and fail builds on regressions.