A comprehensive technical framework for architecting, implementing, and managing immutable event stores in event-sourced applications.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install backend-event-stores
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install backend-event-stores using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Event Store?
The Event Store skill provides a deep dive into building systems where state is derived from a sequence of immutable facts rather than current-state snapshots. By leveraging Openclaw Skills, developers can master the complexities of event sourcing, ensuring that every change in the system is captured as a versioned, ordered event. This approach replaces traditional state-based storage with a high-fidelity audit log, facilitating advanced features like time-travel debugging and decoupled read models.
This skill focuses on the core pillars of event-driven architecture, including event envelope design, schema evolution, and the separation of concerns between write models and read models. Using Openclaw Skills allows teams to implement these patterns across various database technologies like PostgreSQL, DynamoDB, or dedicated event databases, ensuring long-term evolvability and system resilience.
Event Store Use Cases
- Architecting high-concurrency systems requiring optimistic locking and version control.
- Building real-time analytics dashboards and read-optimized views via event projections.
- Migrating monolithic CRUD applications to event-driven microservices for better scalability.
- Implementing audit-compliant systems where a full history of data changes is a regulatory requirement.
- Scaling read and write operations independently using the Command Query Responsibility Segregation (CQRS) pattern.
How Event Store Works
- Validate Commands: The application receives a command and validates it against the current aggregate state reconstructed from previous events.
- Generate Events: Upon successful validation, the system generates one or more immutable events representing the business facts.
- Append to Stream: Events are appended to the specific stream using optimistic concurrency control to prevent data corruption or lost updates.
- Update Projections: Subscription workers or background processes read the global event stream to update specialized read-only databases.
- Rehydrate State: When state is needed, the aggregate is reconstituted by replaying events from the store, using snapshots to accelerate the process if necessary.
Event Store Setup
To implement an event store using this skill, ensure you have your environment configured for your chosen database. For a PostgreSQL-based implementation, install the required dependencies:
pip install asyncpg
Initialize your storage layer with a schema that supports stream versioning and global ordering:
CREATE TABLE events (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
stream_id VARCHAR(255) NOT NULL,
version BIGINT NOT NULL,
event_data JSONB NOT NULL,
global_position BIGSERIAL,
CONSTRAINT unique_stream_version UNIQUE (stream_id, version)
);
Event Store Data Schema & Taxonomy
The skill organizes data around a standardized Event Envelope to ensure consistency across different storage backends within Openclaw Skills.
| Attribute | Format | Purpose |
|---|---|---|
| event_id | UUID | Unique identifier used for idempotency and deduplication. |
| stream_id | String | The aggregate identifier (e.g., User-456 or Order-789). |
| version | Integer | Incremental version number for optimistic concurrency control. |
| event_type | String | The name of the event (e.g., OrderPlaced, PaymentReceived). |
| data | JSON | The domain-specific payload of the event. |
| metadata | JSON | Contextual data including correlation IDs and timestamps. |
Event Store Advanced Features
- Snapshotting: Cache the state of aggregates at specific versions to drastically reduce rehydration time for long event streams.
- Schema Upcasting: Implement transformation logic to convert legacy event versions into current formats during the deserialization process.
- Idempotent Subscriptions: Ensure that projections and event handlers can safely process the same event multiple times without side effects.
- Multi-Backend Support: Ready-to-use implementation patterns for PostgreSQL, EventStoreDB, and Amazon DynamoDB.
- Global Event Sequencing: Maintain a global position index to allow projections to resume exactly where they left off after a system restart.
SKILL.md
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