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Data Structures

Checked
pluginagentmarketplace·vlatest·other

Efficiently designs and analyzes data structures like trees, graphs, and heaps to optimize algorithms and solve complex problems.

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-javascript --skill data-structures -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-javascript at a5f7afe637.

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

Commit
a5f7afe637
Manifest
skills/data-structures/SKILL.md
Scanned
7 files, 1,239 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 allows AI agents to understand and manipulate common data structures. It can create, populate, and query arrays, linked lists, stacks, queues, trees, and graphs. The agent can perform operations like insertion, deletion, searching, and traversal on these structures.

When to use it

  • Inventory Management: Simulate a warehouse inventory system using a queue or stack to track items.
  • Pathfinding: Implement simple pathfinding algorithms for games or simulations using graph data structures.
  • Data Processing: Organize and process lists of data, such as customer records or sensor readings, using arrays or linked lists.
  • Social Network Analysis: Model relationships between users in a social network using graphs to identify connections and communities.

Key capabilities

  • Array manipulation (creation, insertion, deletion, searching)
  • Linked list operations (traversal, insertion, deletion)
  • Stack implementation (push, pop, peek)
  • Queue implementation (enqueue, dequeue, front)
  • Tree creation and traversal
  • Graph representation and basic algorithms

Example prompts

  • "Create a stack of numbers from 1 to 5."
  • "Implement a queue to simulate customers waiting in line."
  • "Build an array containing the names of all US states."
  • "Generate a linked list with values [A, B, C, D]."

Tips & gotchas

The agent's understanding of data structures is based on common implementations. Be specific about desired behavior and edge cases to ensure accurate results.