Event Store Design
CheckedDesigns efficient event store schemas and architectures optimized for scalability, reliability, and query performance.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
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terminal$ npx skills add wshobson/agents --skill event-store-design -a claude-code Uses the open-source
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What we know about this skill
Publisher
wshobson
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Install target
Live repository
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Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
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No credential access: passed
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Pinned to a commit: passed
Scanned wshobson/agents at 46891e7e60.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 46891e7e60
- Scanned
- 2 files, 428 lines
About this skill
What it does
The event-store-design skill helps AI agents design and implement event store systems, focusing on organizing data through events. It enables structured storage of system state changes over time, supporting features like versioning, replayability, and audit trails.
When to use it
- Designing a system that requires tracking historical data changes for auditing or debugging purposes.
- Building an application where event sourcing is needed to reconstruct the current state from past events.
- Implementing a microservices architecture with distributed systems requiring consistent event handling across services.
Key capabilities
- Structured storage of system events in chronological order.
- Support for versioned data and replaying events to rebuild system states.
- Integration with event sourcing patterns for scalable, maintainable applications.
Example prompts
- "Design an event store schema for a financial transaction system."
- "Implement an event store that supports replaying past transactions for audit purposes."
- "Create a system where user actions are stored as events and can be queried for analysis."
Tips & gotchas
- Ensure your data model is well-defined before implementing the event store to avoid schema issues later.
- Be mindful of performance considerations, such as indexing and query optimization, when handling large volumes of event data.