Interview Ingest FAQs

Question 1

How does this skill handle audio transcription?

Accepted Answer

It provides automated audio-to-markdown transcription with support for speaker labels and timestamps. For high-volume projects, it includes specialized scripts for batch processing multiple recordings, ensuring your interview data is organized into a standardized inventory.

Question 2

When should I use this skill in my workflow?

Accepted Answer

Use this skill during the 'Stage 1' data preparation phase of your project. It is ideal when you need to 'import data', 'transcribe', or 'convert' raw source materials into an analyzable format before starting manual coding or interpretive research.

Question 3

Which file formats are supported for conversion?

Accepted Answer

This skill supports a broad range of formats including MP3/WAV audio, PDFs, DOCX, PPTX, XLSX, and even YouTube URLs. It utilizes specialized tools like Markdownify for standard conversions and MinerU for high-accuracy extraction of complex tables and formulas.

Question 4

Does this skill require any external API keys?

Accepted Answer

Basic transcription and document conversion (Tier 2) are bundled and work out of the box. For Tier 1 processing, which uses VLM-powered parsing for 90%+ accuracy on complex academic PDFs and tables, a MinerU API key is required.

Question 5

What does the Interview Ingest skill do?

Accepted Answer

The Interview Ingest skill automates the conversion of raw research data—including audio recordings, complex academic PDFs, and Office documents—into clean, structured markdown files. This prepares your data for high-quality qualitative analysis and thematic coding within the Claude Code environment.

Interview Ingest

Interview Ingest

Key Features

Use Cases

Key Features

Use Cases