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Using Document Databases

Checked
ancoleman·vlatest·database·MIT

Efficiently queries, updates, and analyzes data stored within document databases like MongoDB using structured prompts and logic.

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 ancoleman/ai-design-components --skill using-document-databases -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

ancoleman

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 ancoleman/ai-design-components at 76551b7b19.

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

Commit
76551b7b19
Manifest
skills/using-document-databases/SKILL.md
Scanned
20 files, 6,910 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 enables AI agents to interact with document databases. It allows for querying, updating, and managing data stored in a flexible, schema-less format. The agent can retrieve specific documents based on criteria or perform actions like adding new entries or modifying existing ones within the database.

When to use it

  • Content Management: Automate tasks related to website content updates, such as retrieving articles by category and updating their metadata.
  • Customer Relationship Management (CRM): Query customer data stored in a document database to personalize interactions or generate reports.
  • Inventory Tracking: Retrieve product details and update stock levels within a flexible inventory system.
  • Log Analysis: Search through log entries based on timestamps, error codes, or user IDs for troubleshooting purposes.

Key capabilities

  • Querying documents based on criteria
  • Updating existing document data
  • Adding new documents to the database
  • Managing data in a schema-less format

Example prompts

  • "Find all customer records with a 'city' field equal to 'New York'."
  • "Update the 'status' field of order ID '12345' to 'shipped'."
  • "Add a new product document with name 'Widget', price 19.99, and description 'A useful widget'."

Tips & gotchas

The agent needs appropriate credentials to access and modify the document database. Ensure that the connection details are securely provided and that the AI has the necessary permissions for the intended operations.