Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Work in a live Jupyter kernel v1.0.0

Use this resource to explore data or iterate on Python code in a live Jupyter kernel

New

  • 517 downloads
  • 161 likes
  • 185 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install iterative-python-jupyter-kernel

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent connects to a Jupyter server, runs code in the current kernel, inspects variables and edits cells. Variables stay available from one step to the next, which suits data analysis.

Mostly picked by

Updated November 2, 2026

Card for the “Work in a live Jupyter kernel” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md: when to use this tool instead of execute_code or the terminal
  • SKILL.md: installation, servers, execution and cell editing

Good fit for

  • You are exploring a DataFrame and want to keep state between attempts
  • You are iterating on a machine learning model and need to inspect variables at each step

Not for

    Tags

    • jupyter
    • python
    • kernel
    • data
    • notebook

    About

    You say

    “Load this CSV into the kernel, show the missing columns, then clean them.”

    Card for the “Work in a live Jupyter kernel” skill

    Skill published by Hermes Agent under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to explore data or iterate on Python code in a live Jupyter kernel
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.9 KB

    Origin and licence

    Listed unmodified

    Author
    Hermes Agent
    Source
    github.com/nousresearch/hermes-agent/tree/0c74cc682dc81bf78b78a1737b3ee77a820ccb79/optional-skills/data-science/jupyter-notebook
    Licence
    MIT

    Notice

    « jupyter-notebook » (Hermes Agent, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.