Best use case
monolith is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Monolithic architecture single deployment. Use for simple systems.
Teams using monolith should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/monolith/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How monolith Compares
| Feature / Agent | monolith | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Monolithic architecture single deployment. Use for simple systems.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Monolith (Traditional)
A Monolithic architecture is built as a single unit. All functional components (UI, Business Logic, Data Access) are tightly integrated using a shared database and running in the same process.
## When to Use
- Proof of Concept (PoC) or MVP.
- Very small teams (< 5 developers).
- Simple CRUD applications with low complexity.
- When latency must be absolute zero and throughput is not the bottleneck.
## Quick Start
```python
# Django/Rails/Laravel Style
# Everything in one place:
# - models/
# - views/
# - controllers/
# - utils/
def create_order(request):
user = User.objects.get(id=request.user_id) # Direct DB access
product = Product.objects.get(id=request.product_id) # Direct DB access
order = Order.create(user=user, product=product)
# Direct sync call within same transaction
EmailService.send_confirmation(user)
return Response("Order Created")
```
## Core Concepts
### Single Process
The entire app runs in one memory space. Scaling means "Vertical Scaling" (bigger server) or "Horizontal Scaling" (cloning the entire monolith behind a load balancer).
### Shared Database
All components read/write to the same massive database. JOINs across any domains are easy and performant.
### Simplicity
One repo, one build pipeline, one deploy script. Infinite ease of debugging (step through everything).
## Common Patterns
### Layered Architecture
Even in a monolith, organize by technical layers (Presentation, Business, Data) to prevent spaghetti code.
### "Big Ball of Mud" (Anti-pattern)
The chaotic state a monolith reaches without discipline, where everything depends on everything else.
## Best Practices
**Do**:
- Keep code clean and modular (files/folders) even if deployment is monolithic.
- Use **Feature Flags** to manage releases.
- Optimize **Database Queries** early, as the single DB is the bottleneck.
**Don't**:
- Don't let the build time exceed 10-15 minutes (split if it does).
- Don't allow "Spaghetti Coupling" (Circular dependencies).
## References
- [Martin Fowler - MonolithFirst](https://martinfowler.com/bliki/MonolithFirst.html)Related Skills
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