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Mongodb Query Patterns

Checked
9tykeshav·vlatest·database·MIT

Helps with MongoDB, querying, patterns 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 9tykeshav/mern-ninja-cc --skill mongodb-query-patterns -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

9tykeshav

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 9tykeshav/mern-ninja-cc at 5a329b4671.

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

Commit
5a329b4671
Manifest
skills/mongodb-query-patterns/SKILL.md
Scanned
1 file, 278 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.
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About this skill

What it does

This skill allows AI agents to construct and execute complex MongoDB queries. It can generate queries based on natural language descriptions, including filtering, sorting, aggregation, and projection of data within a MongoDB database. The agent can also interpret query results and adapt subsequent actions accordingly.

When to use it

  • Data Extraction: Retrieve specific information from a MongoDB database based on complex criteria (e.g., "Find all users who signed up in the last week and have made at least three purchases").
  • Report Generation: Generate reports by querying and aggregating data, such as calculating average order values or identifying top-selling products.
  • Data Analysis: Analyze trends and patterns within a MongoDB database through sophisticated query operations (e.g., "Calculate the monthly active users over the past year").
  • Automated Tasks: Automate repetitive tasks that involve querying and manipulating data in a MongoDB environment.

Key capabilities

  • Query construction from natural language
  • Filtering based on multiple criteria
  • Sorting results by specified fields
  • Aggregation pipelines for complex calculations
  • Projection of specific fields within documents

Example prompts

  • "Find all products with a price greater than $50 and a rating above 4.5."
  • "Give me the average order value for customers in California."
  • "List the top 10 most frequently purchased items, sorted by quantity."

Tips & gotchas

The skill requires access to a MongoDB database and appropriate credentials. Complex aggregation pipelines may require some understanding of MongoDB's aggregation framework for optimal results.