Execute code and manage cells in running marimo notebook kernels via HTTP API.
npx skills add https://github.com/legout/pi-config --skill marimo-pair-legout
Please help me install this Agent Skill. Skill: marimo-pair Source: https://github.com/legout/pi-config/tree/main/installed-skills/marimo-pair Command: npx skills add https://github.com/legout/pi-config --skill marimo-pair-legout
This skill bridges the gap between AI agents and interactive data science by allowing direct, programmatic control over running marimo notebooks, enabling real-time code execution and UI manipulation.
Use the marimo-pair skill to discover the running notebook server and execute the code in the current session.
High-intent search queries and answers about installing and using this skill.
Programmatic control of a running marimo notebook is achieved by interfacing with its HTTP API and server registry using bash, curl, and jq to execute code and manage reactive cells.
An AI agent can dynamically create, edit, and execute cells in a reactive Python notebook by interfacing with the active marimo kernel to construct real-time data dashboards.
You need bash, curl, and jq to interface with the marimo HTTP API and server registry, enabling programmatic code execution and reactive variable management within active Python environments.
Manipulating anywidget state in a live Python data science notebook involves programmatic interactions with the running marimo kernel to update UI widgets and reactive variables reflecting data processing results.
Reactive notebook control facilitates automated data analysis by enabling programmatic code execution and dynamic UI manipulation to build interactive dashboards within active Python environments.
marimo-teamCoordinate marimo notebook sessions via Bash scripts and HTTP API calls.
edwinhuInspect .ipynb files for tracebacks and cell execution issues.
arthrodDevelops and manages reactive Python notebooks for UI and CLI execution.\n
samlaggzLaunch a stateful Python REPL with a live Jupyter kernel.
