How does this skill handle very long documents?

It uses a segmented reading mechanism with offsets and limits to process text in chunks, prompting the user for a 'continue' command until the entire file is analyzed and merged.

What types of information does it extract?

It identifies document types, extracts title hierarchies (H1-H3), captures quantitative data like percentages and currency, and maps out key conclusions and logical relationships.

Can I use this for documents other than HTML files?

Yes, while it is the first step of the beauty command, it is effective at analyzing any text-based reports, research papers, or plans that require structural mapping.

Is there a risk of losing data during analysis?

No, the skill includes a strict validation criteria and verification step to ensure 100% content integrity and zero omissions before completing the task.

Document Analysis & Structure Merger

Name: Document Analysis & Structure Merger
Author: Within-7

byWithin-7

•

内容管理

Analyzes and structures long documents for presentation-ready formatting by extracting key data points and logical hierarchies.

This skill serves as the foundational phase for the HTML presentation beautification process within Claude. It systematically parses source documents—regardless of length—to extract core content elements like title hierarchies, quantitative data, and key conclusions. By utilizing a sophisticated segmented reading mechanism, it overcomes AI token limits to ensure no information is lost, ultimately producing a comprehensive structural outline and data list ready for visual transformation or secondary processing.

主要功能

01Segmented Document Reading: Automatically handles long files by reading in chunks to bypass token limits.

02Validation Framework: Ensures 100% content integrity with a built-in verification checklist.

03Quantitative Data Capture: Records all numerical values, percentages, and currencies for visualization.

041 GitHub stars

05Content Hierarchy Extraction: Identifies and maps H1, H2, and H3 structures for clear organization.

06Logical Mapping: Identifies causal relationships, chronological orders, and topic groupings.

使用场景

01Preparing long research reports for conversion into structured HTML presentations.

02Mapping the logical structure of complex documentation to ensure consistent formatting in downstream tasks.

03Extracting key insights and data points from lengthy business plans or project proposals.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add within-7/minto-plugin-tools beauty-step1

For use in Claude.ai and ChatGPT

Download Skill