Databases
CheckedThis skill allows you to query and interact with databases using natural language, streamlining data access and analysis for efficient workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add vibery-studio/templates --skill databases -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
vibery-studio
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.
Automated safety checks
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 vibery-studio/templates at 85d054fd52.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 85d054fd52
- Manifest
- skills/databases/SKILL.md
- Scanned
- 18 files, 8,089 lines
About this skill
What it does
This skill, "databases," allows AI agents to interact with and manage database systems. It facilitates querying data using SQL, creating new tables, and updating existing records within a connected database. The agent can also perform tasks like generating reports based on database content.
When to use it
- Data Analysis: When you need an AI agent to extract insights from structured data stored in databases (e.g., sales figures, customer demographics).
- Report Generation: Automate the creation of regular reports by having the agent query a database and format the results.
- Database Management: Delegate simple database maintenance tasks like adding new entries or updating existing records to an AI agent.
- Inventory Tracking: Use the skill to manage and track inventory levels stored in a database, automatically generating alerts when stock is low.
Key capabilities
- SQL Query Execution
- Table Creation
- Data Updates
- Report Generation
Example prompts
- "Write a SQL query to find all customers who spent over $100 last month."
- "Create a table called 'products' with columns for name, price, and category."
- "Update the quantity of product ID 789 in the inventory database to 50."
Tips & gotchas
The agent requires access credentials (username/password) to connect to the target database. Ensure these are provided securely and that the agent has appropriate permissions within the database system.