monitoring-dashboard

Generate Marimo notebooks with pandas and plotly to visualize JSON/CSV progress, test and requirements data.

345|12|Updated Apr 14, 2026

Search Tags:#dashboard #data-visualization #marimo #requirements-traceability #test-results #project-progress

Ready to run

npx skills add https://github.com/minicoohei/ai-agent-camp --skill monitoring-dashboard

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: monitoring-dashboard
Source: https://github.com/minicoohei/ai-agent-camp/tree/main/.claude/skills/monitoring-dashboard
Command: npx skills add https://github.com/minicoohei/ai-agent-camp --skill monitoring-dashboard

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires marimo, pandas, plotly, and includes scripts (resource) components.

What problem does it solve?

Monitoring and reporting for software projects often require assembling data from multiple sources into visual dashboards. This skill streamlines that by generating Marimo notebooks that visualize progress, tests, and requirements traceability.

Core Features & Use Cases

Automated dashboard generation: Produce integrated or separate dashboards from JSON/CSV data.
Multi-view visualization: Progress, test results, and requirements can be visualized in a single integrated view or in separate dashboards.
Use Case: A team wants a single dashboard to monitor sprint progress and QA results during a release cycle.

Quick Start

Run the dashboard generator with a sample data file to create output/pm/dashboard.py and launch it with marimo run.

Frequently Asked Questions about monitoring-dashboard

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate a Marimo dashboard from CSV or JSON project data?▼

To generate a Marimo dashboard, provide your structured CSV or JSON project data to the skill, which automatically loads the data, renders Plotly charts, and outputs a runnable dashboard.py file for visualizing progress and test results.

Can I visualize test results and requirements traceability in separate dashboards?▼

Yes, you can visualize test results and requirements traceability either together in a single integrated view or as separate dashboards, depending on your project monitoring needs and parameter-driven customizations.

What is the best way to automate project progress reporting for sprint and QA cycles?▼

Automating project progress reporting is best handled by generating dynamic Marimo notebooks that visualize sprint progress and QA test results directly from your structured data, providing updated integrated views for release cycles.

Do I need pandas and plotly installed to run the generated dashboard notebooks?▼

Yes, you need pandas and plotly installed in your Python environment, as the skill uses these libraries for data loading and chart rendering within the generated Marimo notebooks.

How does automated dashboard generation work with structured software project data?▼

Automated dashboard generation works by loading your JSON or CSV structured data, applying parameter-driven customizations, and using Python libraries to render charts and produce an interactive Marimo notebook file.

What are the limitations of using Marimo notebooks for requirements traceability dashboards?▼

The skill's dashboard generation requires structured JSON or CSV data to map requirements traceability, meaning unstructured or poorly formatted project data will not render correctly into the Marimo notebook views.