Convert HTML content to plain text with asterisk list formatting.
npx skills add https://github.com/cas-bigdatalab/piflow --skill clean-html-mapper
Please help me install this Agent Skill. Skill: clean_html_mapper Source: https://github.com/cas-bigdatalab/piflow/tree/main/workspace/skills/clean_html_mapper Command: npx skills add https://github.com/cas-bigdatalab/piflow --skill clean-html-mapper
This Skill addresses the need to extract and clean HTML content, converting it into pure text format for easier processing and readability.
Run the clean_html_mapper skill with the input file 'example_input.json' and output to 'output.json'.
High-intent search queries and answers about installing and using this skill.
To extract plain text from HTML content, this Skill removes all HTML tags and formatting. It converts HTML documents into pure text, making the extracted content suitable for data analysis and text summarization.
HTML to text conversion handles list formatting by converting list items from HTML into an asterisk list format. This ensures that structured lists remain readable and organized in the final plain text output.
Yes, you need py-data-juicer to clean HTML files. This Skill requires the py-data-juicer dependency for parsing and cleaning HTML content to successfully extract plain text.
The best way to convert HTML documents for data processing is to remove all tags and formatting to produce pure text. This approach ensures clean text extraction, which is ideal for downstream data analysis tasks.
To run the clean_html_mapper script for text extraction, execute it with an input file like 'example_input.json' and direct the output to 'output.json'. This processes the HTML content and saves the cleaned plain text.
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