event-sourcing-migrator
Migrate to event-sourcing architecture with event extraction, store setup, and CQRS implementation
Best use case
event-sourcing-migrator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Migrate to event-sourcing architecture with event extraction, store setup, and CQRS implementation
Teams using event-sourcing-migrator 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/event-sourcing-migrator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How event-sourcing-migrator Compares
| Feature / Agent | event-sourcing-migrator | 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?
Migrate to event-sourcing architecture with event extraction, store setup, and CQRS implementation
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
# Event Sourcing Migrator Skill
Migrates applications to event-sourcing architecture, handling event extraction from existing data, event store setup, and CQRS implementation.
## Purpose
Enable event sourcing migration for:
- Event extraction from existing data
- Event store setup
- Projection generation
- CQRS implementation
- Snapshot management
## Capabilities
### 1. Event Extraction from Existing Data
- Analyze current state
- Derive historical events
- Generate event streams
- Handle data gaps
### 2. Event Store Setup
- Configure event store
- Set up partitioning
- Define retention
- Implement subscriptions
### 3. Projection Generation
- Create read models
- Build projections
- Handle updates
- Manage consistency
### 4. CQRS Implementation
- Separate read/write
- Implement commands
- Handle queries
- Manage eventual consistency
### 5. Snapshot Management
- Define snapshot strategy
- Generate snapshots
- Handle restoration
- Optimize performance
### 6. Event Replay
- Replay events
- Rebuild projections
- Handle migrations
- Test consistency
## Tool Integrations
| Tool | Purpose | Integration Method |
|------|---------|-------------------|
| EventStore | Event database | CLI/API |
| Axon Framework | Java event sourcing | Library |
| Marten | .NET event store | Library |
| EventStoreDB | Event store | CLI |
| Custom stores | PostgreSQL/Kafka | Library |
## Output Schema
```json
{
"migrationId": "string",
"timestamp": "ISO8601",
"eventStore": {
"type": "string",
"streams": "number",
"events": "number"
},
"projections": [
{
"name": "string",
"status": "string",
"lastPosition": "number"
}
],
"snapshots": {
"enabled": "boolean",
"count": "number"
}
}
```
## Integration with Migration Processes
- **monolith-to-microservices**: Event-driven architecture
- **database-schema-migration**: Data transformation
## Related Skills
- `domain-model-extractor`: Event discovery
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- `data-architect-agent`: Event architectureRelated Skills
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