Transform lengthy academic papers into concise, structured 250-word abstracts.
中文简介正在准备中。当前显示原文说明。
Generates structured biomedical outlines for review articles, discussion sections, and thesis proposals. Use when a user provides biomedical keywords, results/discussion text, or a proposal title plus background and needs a directly usable academic writing scaffold.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
This is an Academic Writing skill for producing manuscript-grade biomedical outlines with deterministic headings and clear section logic.
If you want to confirm the local helper path exists before use:
python scripts/validate_skill.py --check
This helper is optional. The primary workflow is still direct outline generation from user input.
Use this skill in biomedical contexts when the user wants one of these three outputs:
Title: plus background, methods expectations, cohort notes, timeline, or validation requirementsRecommended:
Use this type when the input is mostly:
Signals:
Title:Use this type when the input contains:
Use this type when the input contains:
Title:If the request is off-domain, stop and use the refusal contract in ## Fallback and Refusal Contract.
Must include:
4-6 major chapters2-3 subchapters under each major chapter where appropriateMust include:
Must include:
#, ##, ###to be addedConfirm that:
Assign Type I, II, or III using the rules above.
Use the output contract for the detected type and keep section order deterministic.
For each section, add actionable subpoints that reflect:
Check that:
If the input is non-biomedical or too weak to classify, respond with:
Cannot generate a biomedical outline yet.
Reason: <non-biomedical input / insufficient context / unsupported request>
Accepted retry formats:
- Review: biomedical keywords or topic direction
- Discussion: biomedical results/discussion paragraph
- Proposal: `Title:` plus background and objectives
Research direction: tumor microenvironment, macrophage polarization, immune checkpoint resistance
Please generate a review outline.
In our mouse model, anti-PD-1 reduced tumor burden, but the effect was lost after CSF1 overexpression. Please draft a discussion outline.
Title: Exosomal miRNAs as early diagnostic biomarkers for Alzheimer's disease
Background: include plasma exosomes, qPCR versus small RNA-seq, validation cohort, and neuroinflammation markers.
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Transform lengthy academic papers into concise, structured 250-word abstracts.
中文简介正在准备中。当前显示原文说明。
Precision editing tool that reduces abstract word count through intelligent compression techniques, maintaining scientific rigor while meeting strict journal and conference requirements.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
Analyze data with `adme-property-predictor` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
中文简介正在准备中。当前显示原文说明。