excel-report-generator

Name: excel-report-generator
Availability: InStock
Author: wwwzhouhui

Generate Excel reports from CSV, databases, or Python data structures.

259|51|Updated Nov 12, 2025

Search Tags:#templates #reports #pandas #openpyxl #excel #generate #data-export

Ready to run

npx skills add https://github.com/wwwzhouhui/skills_collection --skill excel-report-generator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: excel-report-generator
Source: https://github.com/wwwzhouhui/skills_collection/tree/main/excel-report-generator
Command: npx skills add https://github.com/wwwzhouhui/skills_collection --skill excel-report-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automating Excel report generation from diverse data sources eliminates manual, error-prone spreadsheet work, saving time and ensuring consistency across reports.

Core Features & Use Cases

Automated Excel generation: From CSV, database results, or Python data structures using pandas and openpyxl.
Template-based reporting: Fill predefined Excel templates to produce standardized business reports.
Charts, formatting, and exports: Create charts, apply styles, and export multi-sheet reports for distribution.
Use Case: For example, generate a monthly sales dashboard from a CSV and publish a ready-to-share Excel file.
Use Case: Build data exports from a database into a structured Excel workbook with charts and summaries.

Quick Start

Install the required Python packages:

pandas
openpyxl
xlsxwriter Basic usage:
Prepare your data as a CSV or pandas DataFrame.
Run a script to generate the Excel report, select the desired template, and save the output as an .xlsx file.

Frequently Asked Questions about excel-report-generator

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

FAQPage Schema

How do I generate Excel reports from CSV files using Python?▼

To generate Excel reports from CSV files, you can use Python with pandas and openpyxl to read the data, format worksheets, and save the output as a structured .xlsx file. This automates data exports and eliminates manual spreadsheet work.

Can I fill predefined Excel templates with database results?▼

Yes, you can fill predefined Excel templates with database results. Using pandas and openpyxl, the skill reads database query outputs and injects them into template-based reports to produce standardized business reports automatically.

What is the best way to automate adding charts and formatting to a multi-sheet Excel workbook?▼

The best way to automate adding charts and formatting to a multi-sheet Excel workbook is using Python libraries like openpyxl and xlsxwriter. They apply styles, create charts, and export ready-to-share files directly from your data structures.

Do I need pandas and openpyxl to create a monthly sales dashboard from a CSV?▼

Yes, you need pandas and openpyxl to create a monthly sales dashboard from a CSV. Pandas handles the data reading and manipulation, while openpyxl formats worksheets and creates charts for the final Excel dashboard export.

Does this approach support exporting Python DataFrames directly into formatted Excel files?▼

Yes, this approach supports exporting Python DataFrames directly into formatted Excel files. It leverages pandas to process the data structures and openpyxl to apply worksheet formatting, creating a polished workbook for distribution.

When should I use openpyxl versus xlsxwriter for Excel report generation?▼

Use openpyxl for template-based reporting and reading existing Excel files, while xlsxwriter is optional for advanced chart creation and formatting. Both integrate with pandas to automate Excel report generation from diverse data sources.