AI Agent Hub
Back to skills
DeepDigest Deep Information Extractor icon

DeepDigest Deep Information Extractor

Knowledge Management Updated 2026.08.29

Paste the following prompt into your AI chat to install this skill:

Install @user_d82fedf3/deep-digest using https://skillhub.cn/install/skillhub.md.

About this skill

The problem is not just missing summaries

Engineers, researchers, and analysts often face scattered sources: web pages, PDFs, images, audio, and YouTube videos. The hard part is not getting a short summary, but separating facts, metrics, reasoning, constraints, and actionable conclusions from raw content.

How DeepDigest works

deep-digest treats input as multimodal material: URLs, documents, image OCR, audio transcription, and video content. It extracts topics and evidence, then identifies core viewpoints, key data, and logical structure before producing layered summaries.

Useful outputs include:
- Short digest: quick assessment of relevance.
- Medium digest: conclusion, evidence, and limits.
- Long digest: reasoning chain, data points, and exceptions.
- Action items: next steps derived from the source.

This is useful for turning scattered material into reusable notes, research briefs, or decision memos.

Boundaries

Output quality depends on source quality. Missing context, unreadable charts, or transcription errors may require manual verification. It is better used as an information extraction and restructuring aid, not as a substitute for fact-checking, legal review, or domain-specific analysis.

Use Cases

  • Compress a long web page and two-page PDF into short, medium, and long digests for a pre-meeting scan.
  • Extract interviewee viewpoints, commitments, and follow-ups from audio to create a meeting follow-up memo.
  • Turn a YouTube technical walkthrough into a structured digest that preserves key data and reasoning steps.
  • OCR chart-heavy report images to extract key metrics and rebuild the relationship between metrics and conclusions.

Best For

  • Product managers who turn web pages, PDFs, and interview notes into decision memos
  • Research engineers who extract reproducible steps from YouTube talks and paper material
  • Operations leads who convert audio meetings into action items for team distribution
  • Data analysts who extract metrics from chart screenshots and draft report outlines