marimo-team/skills bundled as a Claude Code plugin
Plugin marimo from marketplace regadas-claude-plugins in regadas/claude-plugins. Commands read from the repo's manifest — 1 month ago.
add-molab-badgeAdd "Open in molab" badge(s) linking to marimo notebooks. Works with READMEs, docs, websites, or any markdown/HTML target.
anywidget-generatorGenerate anywidget components for marimo notebooks.
auto-paper-demoMake a demo of a research paper in a marimo notebook fully automatically without extra user input.
implement-paper-autoImplement a research paper in a marimo notebook fully automatically without extra user input.
implement-paperImplement a research paper as an interactive marimo notebook together with the user. Start by understanding what the user wants to explore, fetch the paper via alphaxiv, then build a focused notebook.
jupyter-to-marimoConvert a Jupyter notebook (.ipynb) to a marimo notebook (.py).
marimo-batchAn opintionated skill to prepare a marimo notebook to make it ready for a scheduled run.
marimo-notebookWrite a marimo notebook in a Python file in the right format.
streamlit-to-marimoConvert a Streamlit app to a marimo notebook
wasm-compatibilityCheck if a marimo notebook is compatible with WebAssembly (WASM) and report any issues.
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
Install the "AAS Data Analytics & Business Intelligence" editorial skill bundle for Claude Code.
16 skills
Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.
37 skills · 2 commands · hooks
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
1 MCP server
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.