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Agent skill

Marimo Batch

by koaning in koaning/gitcharts

An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run.

No licenceAuto-check: notesData & Analytics

Install Marimo Batch

skills CLI
$ npx skills add koaning/gitcharts --skill marimo-batch -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install koaning/gitcharts marimo-batch --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/koaning/gitcharts.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/marimo-batch .claude/skills/marimo-batch && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
marimo-batch
GitHub stars
145
Used in
1 other repo
Token cost
~819 tokens
SKILL.md length
337 words
Files
2 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run.

  • Tasks that involve Jupyter notebooks
  • SKILL.md covers Weights and Biases, Environment Variables and Columns
  • Runs Python scripts from its folder; calls uv; needs OPENAI_API_KEY and WANDB_API_KEY

What it does

Marimo Batch is an agent skill from koaning/gitcharts. An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run.

Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/starting-point.py`).

It sits in Data & Analytics, covering Jupyter notebooks. It works with marimo and Weights & Biases.

When your agent uses it

  • Tasks that involve Jupyter notebooks

Example prompts

  • “/marimo-batch”

Requirements

  • Python 3
  • A credential in OPENAI_API_KEY
  • A credential in WANDB_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 69aec0c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY
    • WANDB_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Marimo Batch loads about 819 tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 25 tokens; SKILL.md has 337 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~819
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:60
    for the job. Use python-dotenv to read a .env file if it exists, but also add an `EnvConfig` so users may add keys manua

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 337 words (~819 tokens).

“Pydantic is a great way to declare a source of truth for a batch job, especially for ML. You can declare something like:”

— opening of SKILL.md by koaning
name
marimo-batch

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in .agents/skills/marimo-batch of koaning/gitcharts.

  • SKILL.md
  • references/starting-point.py

Open the folder on GitHubat commit 69aec0c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in koaning/gitcharts, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Marimo Batch next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Marimo Batch compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Marimo Batch this skillkoaning/gitcharts1451 repos~819Automated safety check: NotesNone
Wasm Compatibilityericmjl/llamabot1822 repos~1.6kAutomated safety check: PassNone
Marimo Paircosanlab/nltools1311 repos~3kAutomated safety check: PassMIT
Marimo Notebookcosanlab/nltools1314 repos~2.1kAutomated safety check: PassMIT
Marimo PairPhySpace/SimpleCADAPI140—~3kAutomated safety check: PassApache-2.0
Marimo Pair Vscodemarimo-team/marimo-lsp130—~2.7kAutomated safety check: PassApache-2.0

Similar skills

  • Wasm Compatibility

    ericmjl/llamabot

    Check if a marimo notebook is compatible with WebAssembly (WASM) and report any issues.

    182 GitHub starsUsed in 2 repos~1.6k tokens
    Data & AnalyticsAuto-check passed

  • Marimo Pair

    cosanlab/nltools

    Work inside a running marimo notebook's kernel — execute code, create cells, and build a notebook as an artifact.

    131 GitHub starsUsed in 1 repo~3k tokens
    Data & AnalyticsAuto-check passed

  • Marimo Notebook

    cosanlab/nltools

    Write a marimo notebook in a Python file in the right format.

    131 GitHub starsUsed in 4 repos~2.1k tokens
    Data & AnalyticsAuto-check passed

  • Marimo Pair

    PhySpace/SimpleCADAPI

    Drive a live marimo notebook as a workspace: run Python in the same kernel the user does, inspect live notebook state, and commit durable notebook changes.

    140 GitHub stars~3k tokensUpdated 5 days ago
    Data & AnalyticsAuto-check passed

  • Marimo Pair Vscode

    marimo-team/marimo-lsp

    Drive a live marimo notebook in VS Code as a workspace: run Python in the same kernel the user does, inspect and explore live notebook state and data, prototype and debug code, and commit durable…

    130 GitHub stars~2.7k tokensUpdated yesterday
    Data & AnalyticsAuto-check passed

  • Jupyter To Marimo

    ericmjl/llamabot

    Convert a Jupyter notebook (.ipynb) to a marimo notebook (.py).

    182 GitHub starsUsed in 2 repos~475 tokens
    Data & AnalyticsAuto-check passed

Works with

Categories

Questions about Marimo Batch

What does Marimo Batch do?

An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run. Marimo Batch is an agent skill from koaning/gitcharts. An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run.

When should I use Marimo Batch?

Marimo Batch fits situations like: tasks that involve Jupyter notebooks.

How do I install Marimo Batch in Claude Code?

Run `npx skills add koaning/gitcharts --skill marimo-batch -a claude-code`. Or copy the skill folder (.agents/skills/marimo-batch in koaning/gitcharts) into .claude/skills/marimo-batch in your project. Claude Code loads it when a task matches its description.

How do I install Marimo Batch in Codex?

Run `npx skills add koaning/gitcharts --skill marimo-batch -a codex`. Or copy the skill folder (.agents/skills/marimo-batch in koaning/gitcharts) into .agents/skills/marimo-batch in your project. Codex loads it when a task matches its description.

Can I use Marimo Batch in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add koaning/gitcharts --skill marimo-batch -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/marimo-batch, .gemini/skills/marimo-batch, .github/skills/marimo-batch and .opencode/skills/marimo-batch in your project.

What does Marimo Batch need to run?

Going by SKILL.md and its folder, Marimo Batch needs Python for the scripts in its folder, the command-line tools its instructions call (uv) and credentials named OPENAI_API_KEY and WANDB_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY; A credential in WANDB_API_KEY.

Does Marimo Batch access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Marimo Batch safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Marimo Batch use?

No licence was found for Marimo Batch or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Marimo Batch use?

About 819 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Marimo Batch?

Skills that share tags, products or a category with Marimo Batch: Wasm Compatibility (ericmjl/llamabot, 182 stars), Marimo Pair (cosanlab/nltools, 131 stars), Marimo Notebook (cosanlab/nltools, 131 stars) and Marimo Pair (PhySpace/SimpleCADAPI, 140 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Marimo Batch?

koaning (a GitHub user) maintains it in koaning/gitcharts, which has 145 GitHub stars. The repository was last updated on March 20, 2026.

Source: koaning/gitcharts on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.