Does this require a paid subscription to a PDF service?

No, this skill utilizes the open-source reportlab Python library and executes entirely on your local machine or sandbox environment.

Is this skill limited to use with Claude?

While provided as a Claude Code skill, the implementation patterns are universal and will work with any LLM provider capable of generating Python code, including GPT-4 and Gemini.

How do I handle tables with many columns?

The skill includes best practices for managing table layouts, such as adjusting column widths and reducing font sizes to ensure data fits within standard A4 or Letter page margins.

Can I include charts from my data analysis in the PDF?

Yes, the skill provides specific implementation patterns for saving Matplotlib or Seaborn plots as temporary files and embedding them directly into the PDF report.

PDF Report Generator (Universal)

Name: PDF Report Generator (Universal)
Author: Microck

byMicrock

•

데이터 과학 및 ML

Generates professional PDF reports with formatted text, tables, and embedded visualizations using the reportlab library.

소개

This skill enables LLMs to produce high-quality, local PDF documentation directly within a coding environment by leveraging the reportlab library. It provides standardized patterns for creating complex documents that include analysis summaries, multi-column layouts, and data visualizations. It is particularly useful for developers and data scientists who need to export research findings, quality control metrics, or automated project documentation without relying on external cloud-based PDF generation services, ensuring data privacy and local execution.

주요 기능

Universal compatibility with all LLM providers including Claude, GPT-4, and Gemini
Local execution for enhanced data privacy and security
Structured data presentation through customizable tables and styles
81 GitHub stars
Advanced layout support including custom headers, footers, and multi-column formats
Seamless embedding of Matplotlib and Seaborn visualizations into reports

사용 사례

Producing publication-ready supplementary materials from raw data frames
Creating summary documentation for complex research findings or simulations
Generating automated quality control (QC) reports for data analysis pipelines

소개

주요 기능

Universal compatibility with all LLM providers including Claude, GPT-4, and Gemini
Local execution for enhanced data privacy and security
Structured data presentation through customizable tables and styles
81 GitHub stars
Advanced layout support including custom headers, footers, and multi-column formats
Seamless embedding of Matplotlib and Seaborn visualizations into reports

사용 사례

Producing publication-ready supplementary materials from raw data frames
Creating summary documentation for complex research findings or simulations
Generating automated quality control (QC) reports for data analysis pipelines