Academic Highlight Generator
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.
SKILL.md
Academic Highlight Generator
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
Highlightssection 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
.docfile. This package supports.txt,.pdf, and.docx; convert.docbefore 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.
Output Contract
Always return:
Highlights
- <bullet 1>
- <bullet 2>
- <bullet 3>
[- <bullet 4>]
[- <bullet 5>]
Hard requirements:
- Exactly
3-5bullets. - English bullets only unless the user explicitly requests Chinese.
- Maximum
85characters per English bullet. - Objective third-person tone.
- No first person (
we,our). - No undefined abbreviations, citation markers, or figure/table references.
- Every bullet must be grounded in source material.
Supported Execution Paths
Path A: Source text already provided
Use the provided text directly. This is the preferred path for speed and determinism.
Path B: Source file needs extraction
Use:
python scripts/extract_text.py <file_path>
Supported formats:
.txt.pdf.docx
Unsupported format:
.doc-> ask the user to convert to.docxor.pdffirst.
Workflow
1. Validate source sufficiency
Before writing anything, confirm the source contains enough signal to identify:
- study type
- method or evidence base
- main finding or conclusion
If not, stop and use the refusal template in ## Fallback and Refusal Contract.
2. Extract text if needed
If the user provided a file instead of text, run:
python scripts/extract_text.py <file_path>
If extraction fails:
- report the exact failure,
- preserve the original file path in the message,
- do not invent content from the missing file.
3. Detect article type
Use references/prompts.md to classify the manuscript into one of:
- Original Research
- Meta-analysis
- Review
- Case Report / Case Series
- Bioinformatics Study
- Perspective / Commentary
- Education / Policy Research
- Bibliometric Analysis
- Short Communication / Technical Note
- Other / Unclear
4. Generate draft highlights
Select the matching generation prompt from references/prompts.md.
Coverage priorities by type:
- Original Research: method, main result, mechanism/utility, significance
- Meta-analysis / Review: evidence base, synthesis method, conclusion, gap/future direction
- Case Report: case feature, diagnostic or treatment learning point, follow-up significance
- Bioinformatics: data source, analytic method, marker/pathway/model, biological relevance
- Bibliometrics: database, time span, tools, hotspots/trends, collaboration pattern
- Technical Note: method/device/process optimization, efficiency or usability gain
5. Self-critique and refine
Use the critique and refinement prompts in references/prompts.md.
The final output must satisfy all of these checks:
3-5bullets- no bullet exceeds the limit
- the bullets are not copied verbatim from the abstract
- the set covers method + finding + value at least once
- no fabricated numbers or study claims
Fallback and Refusal Contract
If 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:
- the article type is
Other / Unclear, - the text is too short to ground claims,
- the user asks for invention rather than extraction,
- the file format is unsupported.
Deterministic Rules
- Keep the same output header every time:
Highlights. - Do not switch between sentence fragments and full sentences in one output.
- Prefer one factual claim per bullet.
- If a key value is unavailable, omit that value instead of guessing it.
- If the source supports only three safe bullets, output three rather than padding to five.
Quality Checklist
Before returning the final answer, verify:
- Study type and bullet focus are aligned.
- No unsupported causal overstatement appears.
- No clinical recommendation is implied unless the source itself states one cautiously.
- Each bullet is independently readable.
- The final output can be pasted into a journal submission form without reformatting.