Cqrs
CQRS command query responsibility segregation. Use for complex domains.From its SKILL.md
npx -y skills add G1Joshi/Agent-Skills --skill cqrsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 12 stars12 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
2.6 KB, 565 tokens by cl100k_base, as published. Nobody here has run it
CQRS (Command Query Responsibility Segregation)
CQRS is a pattern that separates read and update operations for a data store. Instead of using a single model for both, you have a Command Model (Write) and a Query Model (Read).
When to Use
- High Disparity: Read load is 1000x higher than Write load (or vice versa).
- Complex UI: The UI needs data shaped differently than the way it's stored (e.g., Dashboard aggregation).
- Event Sourcing: CQRS is almost mandatory for Event Sourcing.
Quick Start (Conceptual)
// Command Side (Write) - Optimized for Integrity
class CreateOrderCommand { ... }
class OrderAggregate {
create(cmd: CreateOrderCommand) {
// Validate business rules
// Save to DB (Normalized / Event Store)
}
}
// Query Side (Read) - Optimized for Speed
class GetOrderSummaryQuery { ... }
class OrderSummaryProjector {
// Listens to "OrderCreated" event
on(event) {
// Update a flat "Read DB" (e.g., ElasticSearch, Redis, Document DB)
// optimized for the specific UI view
}
}
Core Concepts
Separation
- Commands: Intent to change state. Void return type (or Ack). Strict validation.
- Queries: Request for data. No side effects. Returns DTOs.
Synchronization
The Read DB is eventually consistent with the Write DB. Logic (Projectors) syncs them via Events.
Best Practices
Do:
- Start with Logical CQRS (Separate classes, same DB) before Physical CQRS (Separate DBs).
- accept Eventual Consistency in the UI (Optimistic UI updates).
Don't:
- Don't use CQRS for simple CRUD (It adds massive complexity).
- Don't try to make the Read side fully real-time synchronized (You'll lose the scaling usage).
Troubleshooting
| Error | Cause | Solution |
|---|---|---|
Stale Data | Lag between Command execution and Query update. | UI design updates (spinners/optimistic updates); Check projector lag. |
Complexity | Over-engineering. | Revert to simple CRUD if the domain doesn't warrant separation. |
References
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.