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Geist Learning Lab

Official
vercel-labs·vlatest·other

Geist Learning Lab helps you rapidly prototype and experiment with AI models, accelerating your development process and fostering innovative solutions.

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 vercel-labs/skill-geist-learning-labs --skill geist-learning-lab -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

vercel-labs

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 vercel-labs/skill-geist-learning-labs at 5fb4ff07b6.

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

Commit
5fb4ff07b6
Manifest
skills/geist-learning-lab/SKILL.md
Scanned
10 files, 3,483 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 geist-learning-lab skill provides a platform for creating and running interactive learning experiences within AI agents. It allows users to define structured lessons, quizzes, and feedback mechanisms that guide the agent's development of specific skills or knowledge areas. This facilitates iterative improvement and personalized training paths for AI agents.

When to use it

  • Skill Development: Train an AI agent on a new task by breaking down the process into smaller, manageable learning steps.
  • Knowledge Acquisition: Help an agent learn facts, concepts, or procedures through structured lessons and assessments.
  • Personalized Training: Tailor the learning experience to the agent's specific needs and progress, adapting difficulty levels as required.
  • Iterative Improvement: Continuously refine the agent’s capabilities by providing feedback and reinforcing correct behaviors.

Key capabilities

  • Structured lesson creation
  • Quiz implementation
  • Feedback mechanisms
  • Personalized learning paths
  • Interactive learning experiences

Example prompts

  • "Create a learning module for an AI agent to learn basic Python syntax."
  • "Design a quiz to assess the agent's understanding of object-oriented programming concepts."
  • "Generate a personalized training path for an agent to master customer service skills."

Tips & gotchas

The effectiveness of this skill depends on clearly defining learning objectives and structuring lessons logically. Ensure that feedback mechanisms are designed to be actionable and contribute to the agent's improvement process.