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Implementing Database Caching

Checked
jeremylongshore·vlatest·database·MIT

Jeremylongshore's implementing-database-caching reduces query latency and load by intelligently caching frequently accessed data.

Repository

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 jeremylongshore/tons-of-skills-marketplace --skill implementing-database-caching -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

jeremylongshore

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 jeremylongshore/claude-code-plugins-plus-skills at a7be181f58.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
a7be181f58
Manifest
plugins/database/database-cache-layer/skills/implementing-database-caching/SKILL.md
Scanned
5 files, 219 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

This skill allows AI agents to implement database caching strategies. It can significantly reduce database load and improve application response times by storing frequently accessed data in a cache layer. The skill supports various caching techniques and configurations, enabling optimization for different workloads.

When to use it

  • Slow query performance: When queries are consistently slow due to large datasets or complex joins.
  • High database load: When the database server is experiencing high CPU utilization or I/O bottlenecks.
  • Read-heavy applications: Applications where read operations significantly outnumber write operations, making caching particularly effective.
  • Frequently accessed data: When certain data subsets are repeatedly requested by users or other services.

Key capabilities

  • Cache implementation
  • Caching configuration
  • Support for various caching techniques
  • Database load reduction
  • Improved application response times

Example prompts

  • "Implement a cache for the customer profile data."
  • "Configure database caching with an expiration time of 60 seconds."
  • "Optimize query performance by implementing a read-through cache."

Tips & gotchas

The effectiveness of this skill depends on identifying frequently accessed data and configuring appropriate caching strategies. Incorrect configuration can lead to increased complexity without significant benefit, so careful analysis is needed before implementation.