plotly-html-recommended-for-reports

Sub-skill of plotly: HTML (Recommended for Reports) (+2).

5 stars

Best use case

plotly-html-recommended-for-reports is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of plotly: HTML (Recommended for Reports) (+2).

Teams using plotly-html-recommended-for-reports should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/html-recommended-for-reports/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/data/visualization/plotly/html-recommended-for-reports/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/html-recommended-for-reports/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How plotly-html-recommended-for-reports Compares

Feature / Agent	plotly-html-recommended-for-reports	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Sub-skill of plotly: HTML (Recommended for Reports) (+2).

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# HTML (Recommended for Reports) (+2)

## HTML (Recommended for Reports)


```python
fig.write_html('report.html', include_plotlyjs='cdn')
```

## Static Images


```python
# Requires kaleido
fig.write_image('chart.png', width=1200, height=800)
fig.write_image('chart.pdf')
fig.write_image('chart.svg')
```

## JSON


```python
import json
fig.write_json('chart.json')
```

Related Skills

plotly-visualization

from vamseeachanta/workspace-hub

Generate interactive Plotly and Matplotlib visualizations from DataFrames with configurable templates and multi-format support.

gtm-parametric-demo-reports

from vamseeachanta/workspace-hub

Create parametric engineering demo reports (HTML+PDF) for cold outreach to marine/offshore contractors. Data-first architecture: input DBs → parametric sweep → output DBs → comparison matrices → branded interactive report.