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List Builder

Checked
jwynia·vlatest·other

This "List Builder" skill quickly creates formatted lists from various inputs, streamlining content creation and organization for efficiency.

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 jwynia/agent-skills --skill list-builder --full-depth -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

jwynia

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 jwynia/agent-skills at e02ec7e226.

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

Scanned
3 files, 786 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

The List Builder skill helps create comprehensive, high-quality lists for use in creative randomization processes, particularly those involving “entropy tools” for story development. It bridges the gap between Large Language Models (LLMs) which are good at research and quality control, and scripts that handle storage and random selection. The goal is to build lists with sufficient size, variety, and specificity to spark new ideas and inject unpredictability into creative projects. Currently, it focuses on building lists from Starter/Functional levels up to Production level.

When to use it

  • Prototyping & Demos: Quickly generate starter lists for initial testing or showcasing the concept of entropy-driven content creation.
  • Personal Projects: Build usable lists for individual creative endeavors, such as generating character ideas or plot points.
  • Client Work/Published Tools: Create robust and reliable lists suitable for professional projects or tools intended for wider distribution.
  • Expanding Existing Lists: Improve existing lists by increasing their size, variety, and specificity to enhance their usefulness.

Key capabilities

  • List Generation: Creates lists of items based on a defined category and purpose.
  • Quality Criteria Enforcement: Adheres to principles of list quality including: Size (50-200+ items), Variety (spanning the full possibility space), and Specificity (concrete enough to spark ideas).
  • Research Integration: Leverages available sources like Kiwix/Wikipedia for expanding beyond obvious examples.
  • Level Progression: Facilitates building lists from Starter/Functional levels up to Production level quality.

Example prompts

  • "Create a list of 100 professions, ensuring variety across industries and status levels."
  • "Build a Functional-level list of unusual locations with emotional valence considerations."
  • “Generate a starter list of character traits, focusing on visible vs. hidden aspects.”

Tips & gotchas

  • Define the List: Clearly define the category, purpose, and target size (minimum 50 items) before starting to build a list.
  • Beyond the Obvious: Don't rely solely on initial ideas; actively research for variety and specificity using external sources.
  • Specificity is Key: Aim for concrete, unexpected list items that spark creative inspiration rather than vague categories.