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Event Store Design

Checked
wshobson·vlatest·other·MIT

Designs 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. 1

    Run this in your project

    terminal
    $ npx skills add wshobson/agents --skill event-store-design -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wshobson

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • 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.

Scanned
2 files, 428 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

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.