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Brenda Database

Listed
davila7·vlatest·database·MIT

Access and query Davila7's Brenda database of biological resources, including genes, proteins, and metabolites.

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 davila7/claude-code-templates --skill brenda-database -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

davila7

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
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About this skill

What it does

This skill enables AI agents to connect directly to SQL databases for executing queries, managing schemas, and performing data manipulation tasks. It streamlines database interactions by allowing agents to read, write, and analyze structured data without manual script intervention.

When to use it

  • Automating routine data exports and generating daily reports from relational databases.
  • Validating data integrity by running complex SQL checks against production or staging environments.
  • Prototyping new features by quickly querying existing datasets to understand data structures.
  • Cleaning up legacy data by executing batch update or delete operations based on specific criteria.

Key capabilities

  • Direct SQL query execution across supported database engines.
  • Schema inspection and table metadata retrieval.
  • Data insertion, updates, and deletion via safe transaction handling.
  • Result set parsing and formatting for immediate agent consumption.

Example prompts

  • "Connect to the analytics_db instance and fetch the total sales volume for the last quarter."
  • "Run a query to identify all users who have not logged in for over 90 days and export their IDs."
  • "Update the inventory table to set stock levels to zero for any item where the reorder flag is true."

Tips & gotchas

Ensure your AI agent has appropriate read/write permissions before attempting data modification queries. Always verify the specific SQL dialect supported by your database instance, as syntax can vary significantly between engines like PostgreSQL, MySQL, and SQLite.