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Mongodb Aggregation Pipeline

Checked
pluginagentmarketplace·vlatest·database

Helps with MongoDB, pipeline automation 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 pluginagentmarketplace/custom-plugin-mongodb --skill mongodb-aggregation-pipeline -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

pluginagentmarketplace

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 pluginagentmarketplace/custom-plugin-mongodb at ea0cdbcd85.

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

Commit
ea0cdbcd85
Manifest
skills/mongodb-aggregation/SKILL.md
Scanned
4 files, 232 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 MongoDB aggregation pipelines. It can be used to transform, filter, group, and calculate data within a MongoDB database. The agent can specify pipeline stages like $match, $group, $project, and $sort to achieve complex data analysis tasks.

When to use it

  • Data Summarization: Generate reports summarizing key metrics from a large dataset stored in MongoDB (e.g., total sales per region).
  • Complex Filtering: Extract specific records based on multiple criteria that require sophisticated logic beyond simple queries.
  • Data Transformation: Restructure data fields for easier consumption by other systems or applications.
  • Calculating Derived Metrics: Compute new values from existing data, such as calculating average order value or customer lifetime value.

Key capabilities

  • Constructs MongoDB aggregation pipelines.
  • Supports various pipeline stages (e.g., $match, $group, $project).
  • Executes the generated pipeline against a specified MongoDB database.
  • Returns results in a structured format.

Example prompts

  • "Create an aggregation pipeline to find the total order value per customer, sorted by highest to lowest."
  • "Build a pipeline that filters orders placed after January 1st, 2023 and projects only the order ID and date."
  • “Generate a pipeline that groups products by category and calculates the average price for each.”

Tips & gotchas

  • Requires access to a MongoDB database and appropriate credentials.
  • Aggregation pipelines can be computationally expensive; optimize stages for performance.