Document Analysis & Classification FAQs

Question 1

Can it integrate with my existing document taxonomy?

Accepted Answer

Yes, the skill is designed to check a predefined taxonomy file (meta/taxonomy.md) to ensure new classifications match your existing organizational structure before proposing new topics.

Question 2

Which file formats are supported by this skill?

Accepted Answer

The Document Analysis skill currently supports Markdown (.md), Plain Text (.txt), HTML (.html, .htm), and CSV (.csv) files with specific parsing logic for each.

Question 3

What is included in the automated document summaries?

Accepted Answer

Unlike generic summaries, this skill focuses on substantive details: main subjects, conclusions reached, key arguments, and identified action items or next steps.

Question 4

How does it handle CSV data during analysis?

Accepted Answer

It analyzes the header and sample rows to infer the schema, data domain, and row count, then generates a Markdown wrapper containing the schema description and an overview.

Question 5

Does it support extracting information from AI chat logs?

Accepted Answer

Yes, it has special handling for AI conversation artifacts to extract the specific subject, decisions reached, and any code produced rather than just labeling it as a 'chat'.

Document Analysis & Classification

Key Features

Use Cases

Document Analysis & Classification

Key Features

Use Cases