Transform lengthy academic papers into concise, structured 250-word abstracts.
日本語の概要は準備中です。原文の説明を表示しています。
Generates submission-ready Elsevier/SCI Highlights from manuscript text or extracted PDF/DOCX/TXT content. Use when a user needs 3-5 concise, evidence-grounded highlight bullets for a research paper, review, meta-analysis, case report, or bioinformatics manuscript.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Generate journal-ready Highlights that can be pasted directly into a submission system. This skill is for academic writing output, not for inventing missing results.
Highlights section for a manuscript submission..doc file. This package supports .txt, .pdf, and .docx; convert .doc before continuing.Provide one of the following:
scripts/extract_text.py: .txt, .pdf, or .docx.Recommended metadata if available:
Always return:
Highlights
- <bullet 1>
- <bullet 2>
- <bullet 3>
[- <bullet 4>]
[- <bullet 5>]
Hard requirements:
3-5 bullets.85 characters per English bullet.we, our).Use the provided text directly. This is the preferred path for speed and determinism.
Use:
python scripts/extract_text.py <file_path>
Supported formats:
.txt.pdf.docxUnsupported format:
.doc -> ask the user to convert to .docx or .pdf first.Before writing anything, confirm the source contains enough signal to identify:
If not, stop and use the refusal template in ## Fallback and Refusal Contract.
If the user provided a file instead of text, run:
python scripts/extract_text.py <file_path>
If extraction fails:
Use references/prompts.md to classify the manuscript into one of:
Select the matching generation prompt from references/prompts.md.
Coverage priorities by type:
Use the critique and refinement prompts in references/prompts.md.
The final output must satisfy all of these checks:
3-5 bulletsIf the source is unsuitable or insufficient, respond with this structure:
Cannot generate submission-ready Highlights yet.
Reason: <insufficient source / unsupported article type / unsupported file format>
Detected type: <type or Unknown>
Minimum additional input needed:
- <item 1>
- <item 2>
Use this refusal contract when:
Other / Unclear,Highlights.Before returning the final answer, verify:
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概要と使いどころ
Transform lengthy academic papers into concise, structured 250-word abstracts.
日本語の概要は準備中です。原文の説明を表示しています。
Precision editing tool that reduces abstract word count through intelligent compression techniques, maintaining scientific rigor while meeting strict journal and conference requirements.
日本語の概要は準備中です。原文の説明を表示しています。
Refines long medical academic texts into SCI-style unstructured Chinese and English abstracts; use when you need to condense drafts/reports/summaries into bilingual abstracts and generate Summary_Report.md.
日本語の概要は準備中です。原文の説明を表示しています。
Generates complete FAERS pharmacovigilance study designs for multi-drug or class-level safety comparison inside one predefined SOC or AE family using active comparators, disproportionality analysis, subgroup characterization, and reviewer-facing evidence control.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze data with `adme-property-predictor` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
日本語の概要は準備中です。原文の説明を表示しています。
Generates CIOMS I-compliant ICSR narratives from adverse event case data for FDA and EMA regulatory submission. Includes temporal analysis, MedDRA coding, causality assessment using WHO-UMC or Naranjo criteria, and multi-format output.
日本語の概要は準備中です。原文の説明を表示しています。