# Engineering Report Generator
> Generate engineering analysis reports with interactive Plotly visualizations, standard report sections, and HTML export. Use for creating dashboards, analysis summaries, and technical documentation with charts.
- Skill: `vamseeachanta/engineering-report-generator` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/engineering-report-generator`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/engineering-report-generator/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Web & Frontend
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/engineering-report-generator
---
# Engineering Report Generator
## Quick Start
```python
import plotly.express as px
import pandas as pd
from pathlib import Path
from datetime import datetime
# Load data
df = pd.read_csv("../data/processed/results.csv")
# Create visualization
fig = px.line(df, x="date", y="value", title="Analysis Results")
# Generate HTML report
html = f"""
Engineering Report
Analysis Report - {datetime.now().strftime('%Y-%m-%d')}
{fig.to_html(full_html=False, include_plotlyjs="cdn")}
"""
Path("../reports/analysis.html").write_text(html)
print("Report generated: reports/analysis.html")
```
## When to Use
- Creating analysis reports with charts and visualizations
- Building interactive dashboards from CSV/data sources
- Generating technical documentation with plots
- Producing client-deliverable HTML reports
- Summarizing engineering calculations with graphics
## Report Structure
### Standard Sections
1. **Header** - Title, date, project info, version
2. **Executive Summary** - Key findings and metrics at a glance
3. **Methodology** - Analysis approach and assumptions
4. **Results** - Data tables and interactive visualizations
5. **Discussion** - Interpretation of results
6. **Conclusions** - Summary and recommendations
7. **Appendix** - Supporting data, references
## Implementation Pattern
### Basic Report Generation
```python
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd
from pathlib import Path
from datetime import datetime
def generate_report(
data_path: str,
*See sub-skills for full details.*
### Visualization Patterns
```python
def create_visualizations(df: pd.DataFrame, chart_configs: list) -> list:
"""Create Plotly figures from configuration."""
figures = []
for config in chart_configs:
chart_type = config.get('type', 'line')
if chart_type == 'line':
fig = px.line(
*See sub-skills for full details.*
### HTML Template
```python
def build_html_report(title: str, sections: dict, figures: list) -> str:
"""Build complete HTML report."""
# Convert figures to HTML
chart_html = '\n'.join([
f'{fig.to_html(full_html=False, include_plotlyjs="cdn")}
'
for fig in figures
])
*See sub-skills for full details.*
## Integration
### With YAML Workflow
```yaml
task: generate_report
input:
data_path: data/processed/results.csv
output:
report_path: reports/analysis.html
config:
title: "Analysis Report"
charts:
- type: line
x: time
y: value
```
### With Data Pipeline
```python
# Pipeline output -> Report input
pipeline_results = process_data(raw_data)
pipeline_results.to_csv('data/processed/results.csv')
generate_report(
data_path='data/processed/results.csv',
output_path='reports/analysis.html',
title='Pipeline Results'
)
```
## Related Skills
- [xlsx](../../document-handling/xlsx/SKILL.md) - Excel data handling
- [pdf](../../document-handling/pdf/SKILL.md) - PDF report generation
- [data-pipeline-processor](../data-pipeline-processor/SKILL.md) - Data preparation
- [yaml-workflow-executor](../yaml-workflow-executor/SKILL.md) - Workflow automation
---
## Version History
- **1.1.0** (2026-01-02): Upgraded to SKILL_TEMPLATE_v2 format with Quick Start, Error Handling, Metrics, Execution Checklist, additional examples
- **1.0.0** (2024-10-15): Initial release with Plotly visualizations, HTML templates, responsive design
## Sub-Skills
- [Example 1: Production Analysis Report (+2)](example-1-production-analysis-report/SKILL.md)
- [Do (+4)](do/SKILL.md)
## Sub-Skills
- [Error Handling](error-handling/SKILL.md)
- [Execution Checklist](execution-checklist/SKILL.md)
- [Metrics](metrics/SKILL.md)