Skills for medical & scientific research, 医学与科研技能，one click away一键即装.。

Applies ACMG/AMP 2015 framework with ClinGen SVI specifications, Tavtigian 2018/2020 Bayesian point system, Abou Tayoun 2018 PVS1 decision tree, Pejaver 2022 and Bergquist 2025 calibrated PP3/BP4 thresholds for REVEL/BayesDel/AlphaMissense, Brnich 2020 PS3/BS3 OddsPath, Walker 2023 SpliceAI splicing framework, and AMP/ASCO/CAP 2017 tumor tiers. Use when classifying germline variants P / LP / VUS / LB / B, applying VCEP-specific CSpec rules, computing Whiffin BS1, or assigning cancer Tier I-IV per Li 2017.应用 ACMG/AMP 2015 框架及 ClinGen SVI 细则、Tavtigian 2018/2020 贝叶斯计分体系、Abou Tayoun 2018 PVS1 决策树、Pejaver 2022 与 Bergquist 2025 针对 REVEL/BayesDel/AlphaMissense 校准的 PP3/BP4 阈值、Brnich 2020 PS3/BS3 OddsPath、Walker 2023 SpliceAI 剪接框架，以及 AMP/ASCO/CAP 2017 肿瘤变异分级。适用于将胚系变异分类为 P / LP / VUS / LB / B、应用特定 VCEP 的 CSpec 规则、计算 Whiffin BS1，或按 Li 2017 划分肿瘤 Tier I-IV。

Provides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Supports batch processing, custom molecular-biology pipelines, BLAST automation, structure analysis, and motif analysis.提供 Biopython 工作流，用于序列处理、文件解析（FASTA/GenBank/PDB）、系统发育分析，以及以编程方式访问 NCBI/PubMed（Bio.Entrez）。支持批量处理、自定义分子生物学流程、BLAST 自动化、结构分析和 motif 分析。

Prepares bulk RNA-seq FASTQ, Salmon, STAR or featureCounts output for gene-level differential expression. Covers nf-core/rnaseq and standalone quantification, biological replication, strandedness, reference provenance, validated count assembly and a PyDESeq2 handoff. Use for FASTQ-to-counts analysis, nf-core/rnaseq configuration, STAR/Salmon quantification, or building a counts matrix for DESeq2. For single-cell data use scanpy; for statistical fitting alone use pydeseq2.将 bulk RNA-seq 的 FASTQ、Salmon、STAR 或 featureCounts 输出整理为可用于基因水平差异表达分析的数据。涵盖 nf-core/rnaseq 与独立定量、生物学重复、链特异性、参考基因组来源追溯、经校验的计数矩阵构建，以及向 PyDESeq2 的衔接。适用于从 FASTQ 到计数的分析、nf-core/rnaseq 配置、STAR/Salmon 定量，或为 DESeq2 构建计数矩阵。单细胞数据请使用 scanpy；仅做统计拟合请使用 pydeseq2。

Comprehensive citation management for academic research. Search OpenAlex, PubMed, and Google Scholar for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.面向学术研究的全面引文管理。在 OpenAlex、PubMed 和 Google Scholar 中检索论文，提取准确的元数据，校验引文，并生成格式规范的 BibTeX 条目。适用于需要查找论文、核实引文信息、将 DOI 转换为 BibTeX，或确保科研写作中参考文献准确性的场景。

Prepares and validates research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Supports aggregate or synthetic research documentation and traceability, excluding patient care and live clinical operation.准备并校验仅限研究用途的临床决策支持相关材料，包括评估、证据概况、队列、生存分析、生物标志物/模型、隐私及治理等文档。支持汇总数据或合成数据的研究文档编写与可追溯性，不适用于患者诊疗及实际临床运行。

Creates safety-bounded draft structures and runs local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.为临床病例、诊断、试验、安全性及汇总研究报告生成有安全边界的草稿结构，并在本地运行确定性检查。仅可用于合成、已去标识化或汇总的输入数据及经核实的源事实清单；所有输出均须经具备资质的人员审核。