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Database Schema

Checked
seanchiuai·vlatest·database

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

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 seanchiuai/multishot --skill database-schema -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

seanchiuai

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 seanchiuai/multishot at 2a3178c263.

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

Commit
2a3178c263
Manifest
.claude/skills/database-schema/SKILL.md
Scanned
1 file, 89 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 an AI agent to understand and interpret database schemas. It can extract table names, column names, data types, and relationships between tables from a provided schema definition. This enables the agent to formulate queries or generate documentation based on the structure of the database.

When to use it

  • Generating SQL Queries: When you need an AI agent to write SQL queries for a specific database without manually providing table structures.
  • Database Documentation: To automatically create documentation describing the tables and columns within a database.
  • Data Analysis Planning: To help an agent understand the data available in a database before performing analysis or reporting tasks.
  • Schema Validation: To check if a provided schema is valid based on predefined rules or constraints.

Key capabilities

  • Schema parsing
  • Table name extraction
  • Column name extraction
  • Data type identification
  • Relationship detection (between tables)

Example prompts

  • "Analyze this database schema and list all the tables."
  • "Describe the columns in the 'Customers' table from this schema."
  • "Based on this schema, what are the possible relationships between 'Orders' and 'Products'?"

Tips & gotchas

The skill requires a clear and well-defined database schema as input. The format of the schema (e.g., SQL DDL) needs to be supported by the agent’s parsing capabilities.