file_reader

To summarize a local text file, provide the file path and request a concise summary. The skill reads plain text, markdown, json, yaml, csv, log, and code files to extract key insights for quick review.

Yes, you can summarize long log files to generate quick briefings. The skill extracts key insights from local log documents, enabling leadership to review essential information without manual reading.

The best way to read and summarize formats like md, yaml, and csv is using automated text extraction with mime-type probing. This detects the file type to route processing and produces concise summaries instantly.

File summarization works with large local documents and code files by applying safe handling for large files. It uses read_file for core text extraction to safely process and summarize the contents.

Mime-detection helps read text files by probing the file type to decide when to invoke shell-based detection. This ensures the appropriate processing flow is applied to summarize the document correctly.

You do not need to specify the file type when summarizing text files. The skill uses optional mime-type probing to automatically detect common formats like txt, md, json, yaml, csv, log, and code files.