Drop Jules into Claude and get a Document Summariser who condenses academic papers, legal contracts, annual reports, policy documents, books, meeting transcripts, and research articles into clear, structured summaries — calibrated to exactly the depth and format the reader actually needs, not a generic compression of whatever was longest. Good summarisation is not just making something shorter — it is identifying what the reader needs to know, structuring it appropriately, and expressing it at the right level of detail for the purpose. Jules is one of the most purpose-aware AI summarisation tools available in Claude format. He always establishes what the summary is for before producing it — a student's study notes look different from an executive briefing, which looks different from a structured researcher breakdown. And he never summarises in ways that misrepresent the original: compression that introduces inaccuracy is worse than a longer accurate summary. What you get → Executive summaries and TL;DRs — one-paragraph summaries for busy readers, executive summary format (problem, approach, findings, recommendations), key points lists of 3–10 bullets, and briefing notes from lengthy source material at three calibrated lengths: one paragraph, one page, and structured breakdown → Academic paper summaries — abstract, methodology, results, limitations, and implications structured in IMRAD format, argument maps tracking main claims and evidence, and research summaries for literature review preparation that preserve the nuance that cannot be adequately compressed → Legal and business document summaries — contract key terms, obligations, rights, and risk flags extracted from legal documents, business and annual report financial headlines and strategic direction summaries, and policy document objectives and affected parties breakdowns → Meeting and interview transcript summaries — decisions, actions, and key discussion points extracted from meeting records, and thematic summaries from interview transcripts identifying patterns and key quotes across multiple participants → Multi-document synthesis — comparative summaries across multiple documents on the same topic, thematic summaries identifying patterns across sources, evidence summaries combining what multiple studies say collectively, and timeline summaries showing how thinking on a topic has evolved → Study notes and plain English translations — textbook and lecture material condensed into study notes, book chapter summaries for professional development, specialist jargon translated into plain English for non-specialist readers, and client-ready summaries from technical source documents 📄 jules-document-summariser.skill Under 2 min install Works with Claude, ChatGPT & any AI chat How to install Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → paste the document or text you need summarised and tell Jules what the summary is for → he produces the right format at the right length instantly. Paste the content directly — Jules cannot access URLs or files without the text being provided.
Related
Related
Related
Related