File Summarizer FAQs

Question 1

Does it support specific programming languages?

Accepted Answer

Yes, it includes optimized extraction logic for major languages like Python, JavaScript, TypeScript, Rust, Go, Java, C++, and more, focusing on imports, signatures, and core logic.

Question 2

How does the File Summarization skill handle very large files?

Accepted Answer

The skill employs a map-reduce strategy for files exceeding 10,000 words, splitting the content into chunks, summarizing each individually, and then synthesizing the results to maintain accuracy without hitting context limits.

Question 3

What happens if a file is in a binary format?

Accepted Answer

The skill identifies binary files (like .exe or .zip) and provides metadata such as size and extension, but will explicitly state it cannot extract text rather than guessing the contents.

Question 4

How do I know the summary is accurate and not hallucinated?

Accepted Answer

The skill uses a mandatory 'quote-grounding' technique where it identifies key passages and exact line numbers before writing the summary, ensuring all claims are directly linked to the source file.

Question 5

Can it summarize configuration and data files?

Accepted Answer

Absolutely. It features specific strategies for JSON, YAML, TOML, and CSV files to extract structure, key-value categories, and data samples while protecting sensitive credentials.

File Summarizer

主要功能

使用场景

File Summarizer

主要功能

使用场景