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.
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A direct command skips the review prompt. Inspect the source before running it.
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.
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.
When to Use
The user wants a Highlights section for a manuscript submission.
The source is an English manuscript, abstract, results summary, or extracted full text.
The paper falls into one of these types: Original Research, Meta-analysis, Review, Case Report, Bioinformatics, Bibliometrics, or Technical Note.
The user needs a deterministic, concise output with strict bullet-count and length limits.
When Not to Use
The user asks you to fabricate results, novelty claims, study counts, effect sizes, or conclusions that are not in the source.
The source text is too short to identify study type or key findings reliably.
The document is a perspective, commentary, editorial, or otherwise unsuitable for formal submission highlights.
The user provides a binary .doc file. This package supports .txt, .pdf, and .docx; convert .doc before continuing.
Required Inputs
Provide one of the following:
Plain manuscript text, abstract, or structured study summary.
A supported source file path for scripts/extract_text.py: .txt, .pdf, or .docx.
Recommended metadata if available:
Manuscript type or target journal.
Core method, main findings, and significance sentence.
Any wording constraints such as British/American spelling.