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Datapack Builder

Official
anthropics·vlatest·data·Apache-2.0

This skill automatically constructs optimized datapacks for Minecraft, streamlining modding and ensuring optimal performance & compatibility.

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 anthropics/financial-services --skill datapack-builder -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

anthropics

Matched to the vendor's own GitHub organisation.

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 anthropics/financial-services-plugins at 574ed3624a.

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

Commit
574ed3624a
Manifest
plugins/vertical-plugins/investment-banking/skills/datapack-builder/SKILL.md
Scanned
1 file, 649 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 datapack-builder skill allows you to create and manage data packages. It can assemble structured datasets from various sources, format them for specific applications, and prepare them for use in AI models or other systems. This includes handling data transformations and ensuring compatibility with different platforms.

When to use it

  • Financial modeling: Quickly build datasets of financial instruments and market data for scenario analysis.
  • Data science projects: Prepare structured data from raw files (e.g., CSV, JSON) for machine learning tasks.
  • Report generation: Create consistent data packages for automated report creation and distribution.
  • API integration: Format data into a specific structure required by an external API endpoint.

Key capabilities

  • Data package assembly
  • Structured dataset formatting
  • Data transformations
  • Platform compatibility

Example prompts

  • "Create a datapack of the top 10 largest companies by market cap."
  • "Build a data package from this CSV file, formatted for use with the Alpha model."
  • "Generate a datapack containing historical stock prices for Apple and Microsoft."

Tips & gotchas

The skill requires access to relevant data sources. Ensure that the AI agent has appropriate permissions or credentials to retrieve the necessary information.