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Database Driver Design

Checked
joannis·vlatest·database

Helps with database, design as part of working with databases and data persistence workflows.

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 wendylabsinc/claude-skills --skill database-driver-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

joannis

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 joannis/claude-skills at 934e0a5d17.

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

Scanned
1 file, 298 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 design and implement custom database drivers. It facilitates creating connectors for specialized or proprietary databases not natively supported by common tools, enabling access to unique data sources. The agent can handle tasks such as defining connection protocols, query parsing, and result set mapping.

When to use it

  • Connecting an AI application to a legacy database system with a custom protocol.
  • Integrating an AI workflow with a niche or specialized database platform.
  • Developing a data pipeline that requires interaction with a proprietary data store.
  • Creating a connector for a new, experimental database technology.

Key capabilities

  • Custom connection protocol definition
  • Query parsing and execution
  • Result set mapping to standard formats
  • Error handling and logging

Example prompts

  • "Design a database driver for the 'AcmeCorp Data Vault' using their proprietary protocol."
  • "Create a connector for the 'Starlight Analytics Database' that supports SQL-92 queries."
  • "Implement a driver to access data from the 'Quantum Storage System' and return results as JSON objects."

Tips & gotchas

The agent requires detailed specifications of the target database’s protocol and data structures. Success depends heavily on accurate documentation or direct access to the database system for analysis.