amvcp-charts-and-dashboards

Route chart and KPI dashboard requests to matching visualization siblings by data shape.

Updated May 8, 2026
One-click install
npx skills add https://github.com/Emasoft/ai-maestro-visual-communicator-plugin --skill amvcp-charts-and-dashboards
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: amvcp-charts-and-dashboards
Source: https://github.com/Emasoft/ai-maestro-visual-communicator-plugin/tree/main/skills/amvcp-charts-and-dashboards
Command: npx skills add https://github.com/Emasoft/ai-maestro-visual-communicator-plugin --skill amvcp-charts-and-dashboards

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This router skill resolves ambiguity in chart requests by selecting the correct chart or KPI dashboard sibling based on the user’s data shape, so the agent can render the right interactive visualization.

Core Features & Use Cases

  • Chart-surface routing by data shape: Compare categories, trends over time, parts of a whole, multi-dimensional heatmaps, and KPI grids.
  • Composable chart + infrastructure orchestration: Coordinates loading cross-cutting dashboard infrastructure alongside the correct chart-family sibling.
  • Guardrails for chart specification mismatches: Automatically reroutes pie-style needs into the sanctioned sibling (sorted bar mapping) and provides fallback guidance when the sibling is unclear.

Quick Start

Route the request “Make a heatmap of errors by weekday × hour” so the agent loads dashboard infrastructure and then the multi-dim charts heatmap sibling.

Frequently Asked Questions about amvcp-charts-and-dashboards

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

FAQPage Schema
How do I route chart requests to the right KPI dashboard visualization?

You route chart requests by matching your data shape against a routing matrix, which selects the correct visualization sibling for categorical comparisons, trend lines, heatmaps, or KPI grids.

What is the best way to choose between a heatmap and a trend line for my data?

Choosing between a heatmap and a trend line depends on your data shape: multi-dimensional data like errors by weekday and hour maps to heatmaps, while time-series data maps to trend line visualizations.

Can I use a pie chart for parts-of-whole data visualization?

For parts-of-whole data, the routing matrix automatically reroutes pie-style requests into a sanctioned sorted bar mapping sibling instead of rendering a pie chart.

Do I need dashboard infrastructure loaded before generating interactive charts?

You need cross-cutting dashboard infrastructure loaded first. The router coordinates loading this infrastructure alongside the matched chart-family sibling before emitting any visualization markup.

Why does my multi-dimensional chart routing fail for categorical comparisons?

Chart routing fails when the data shape does not clearly match the routing matrix. The system provides fallback guidance when the correct visualization sibling for your categorical comparison is unclear.