Skip to content
TrustedSkillsbeta
Back to all skills

Mongodb Development

Checked
mindrally·vlatest·database·Apache-2.0

Develop, debug, and optimize MongoDB queries, schemas, and indexes for efficient data management and application integration.

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 mindrally/skills --skill mongodb-development -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

mindrally

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 mindrally/skills at 7682ca7771.

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

Commit
7682ca7771
Manifest
mongodb-development/SKILL.md
Scanned
1 file, 68 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

The mongodb-development skill enables AI agents to interact directly with MongoDB databases, allowing them to perform CRUD operations and manage data within NoSQL environments. It facilitates seamless integration between agent workflows and persistent storage systems using MongoDB's native protocols.

When to use it

  • Automating the ingestion of unstructured data into flexible JSON-based collections.
  • Executing complex queries to retrieve specific user records or analytics data without manual intervention.
  • Managing database schemas dynamically as application requirements evolve.
  • Performing routine maintenance tasks like indexing optimization or data cleanup.

Key capabilities

  • Direct connection and authentication with MongoDB instances.
  • Execution of Create, Read, Update, and Delete (CRUD) operations.
  • Querying data using MongoDB's flexible document model.
  • Managing database indexes for improved performance.

Example prompts

  • "Insert a new user document into the 'customers' collection with specific profile details."
  • "Update the inventory count for item ID 12345 and return the modified record."
  • "Query all orders placed in the last 24 hours where the status is 'pending'."

Tips & gotchas

Ensure your AI agent has valid credentials and network access to the target MongoDB instance before attempting operations. Be mindful of data consistency when performing updates, as NoSQL databases handle transactions differently than relational systems.