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limacharlie-reporting

Generate interactive HTML reports and dashboards from LimaCharlie data.

Updated Nov 5, 2025
Search Tags:#html#dashboard#reporting#visualization#chart.js#limacharlie#local-server
One-click install
npx skills add https://github.com/tekgrunt/boot-test --skill limacharlie-reporting
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: limacharlie-reporting
Source: https://github.com/tekgrunt/boot-test/tree/main/.claude-plugin/plugins/limacharlie-skills/skills/limacharlie-reporting
Command: npx skills add https://github.com/tekgrunt/boot-test --skill limacharlie-reporting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

LimaCharlie data often requires visual interpretation. This skill lets you generate rich HTML reports and dashboards and serve them locally, so insights are quickly shareable in a browser.

Core Features & Use Cases

  • Generate interactive HTML reports, dashboards, and charts from LimaCharlie data.
  • Serve reports on localhost using a lightweight Python HTTP server.
  • Include charts (Chart.js) and sortable tables for insights like billing trends, sensor status, or MITRE ATT&CK coverage heatmaps.

Quick Start

Generate your HTML content and call create_and_serve_report(html, title="My LimaCharlie Report") to serve it locally.

Frequently Asked Questions about limacharlie-reporting

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

FAQPage Schema
How do I generate interactive HTML dashboards from LimaCharlie data?▼

To generate interactive HTML dashboards from LimaCharlie data, you create HTML content and call the create_and_serve_report function, which wraps it in a template, launches a local HTTP server as a subprocess, and returns a URL to open in your browser.

Can I visualize LimaCharlie billing trends and sensor status in a browser?▼

Yes, you can visualize LimaCharlie billing trends and sensor status by generating interactive HTML reports with Chart.js charts and sortable tables, then serving them locally on localhost for browser viewing.

What is the best way to serve local reports for MITRE ATT&CK coverage heatmaps?▼

The best way to serve local reports for MITRE ATT&CK coverage heatmaps is to generate the HTML visualization and use a lightweight Python HTTP server to serve the interactive dashboard on localhost.

Do I need any external dependencies to serve LimaCharlie visualizations locally?▼

No, you do not need any external dependencies to serve LimaCharlie visualizations locally, as the skill has zero dependencies and uses a lightweight Python HTTP server subprocess to serve the HTML reports.

Does the local reporting skill support Chart.js for data visualization?▼

Yes, the local reporting skill supports Chart.js for data visualization, allowing you to include interactive charts and sortable tables in your HTML reports for insights like billing trends and sensor inventories.

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