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SkillsMP ha recopilado 237 skills de BioTender-max/awesome-bio-agent-skills. Abre una skill para revisar su origen y sus detalles.
Mostrando 40 de 237 skills recopiladas.
Discover and invoke 1,676 deduplicated biomedical AI agent skills from the Awesome Bio Agent Skills repository (20 source repos, 15 categories). Use this skill as a router whenever a user needs a bioinformatics/biomedical task (genomics, transcriptomics,…
Idioma del texto original: inglés
Infer orthologous genes and gene families across species using OrthoFinder3 (HOG-based phylogenetic orthology), SonicParanoid2, Broccoli, ProteinOrtho, OMA / FastOMA hierarchical orthologous groups, eggNOG-mapper, JustOrthologs, and TOGA…
Idioma del texto original: inglés
Fetch a region of cis-eQTL summary statistics from EBI eQTL Catalogue v7+ via tabix-on-FTP. Use when an agent needs eQTL beta / SE / p-value for every variant in a window around a gene's TSS for one specific dataset (study × tissue × quantification method).…
Idioma del texto original: inglés
Phylogenetic distance matrices and trees from VCF or FASTA data using the fastreeR hybrid Java/Python toolkit (VCF2TREE, VCF2DIST, DIST2TREE, FASTA2DIST).
Idioma del texto original: inglés
Use this skill whenever the user submits a non-trivial mathematical claim that needs a rigorous proof or audit. Trigger on IMO/Putnam/USAMO/Olympiad-style problems, ML/AI theoretical statements, research conjectures, suspected-false claims, multi-step proofs…
Idioma del texto original: inglés
Generate professional presentation slides and high-quality illustrations using Gemini image generation API (Nano Banana 2), with interactive browser-based review and iterative editing. Full workflow: content planning conversation → slides_plan.json → batch…
Idioma del texto original: inglés
Find, read, download, and locally cache academic papers. Disambiguate ambiguous queries, discover via keyword search / citation traversal / recommendations / arXiv monitoring / trending / GitHub search, evaluate (TLDR, citations, code, SOTA), read using a…
Idioma del texto original: inglés
Use this skill whenever the user wants an end-to-end workflow for the ABCD Study dataset, including download via NIMH Data Archive, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'ABCD Study', 'ABCD data', 'process…
Idioma del texto original: inglés
Use this skill whenever the user wants an end-to-end workflow for ADNI data (fMRI + T1), including BIDS preparation, fMRIPrep preprocessing, and DK68 ROI pipeline. This is the NeuroClaw dataset-orchestration layer for ADNI.
Idioma del texto original: inglés
Use this model doc whenever the user wants to run a classical General Linear Model (GLM) for task-evoked fMRI activation analysis. This is a non-deep-learning model route focused on design matrices, first-level/second-level statistics, and statistical maps.
Idioma del texto original: inglés
Use this skill whenever the user wants an end-to-end workflow for the HCP Aging (HCP-A) dataset, including dataset download, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'HCP Aging', 'HCP-A', 'process HCP Aging…
Idioma del texto original: inglés
Use this skill whenever the user wants an end-to-end workflow for the HCP Young Adult (HCP-YA / HCP1200) dataset, including dataset download, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'HCP Young Adult', 'HCP-YA',…
Idioma del texto original: inglés
Use this model doc whenever the user wants to perform brain parcellation using K-means. This is a non-deep-learning unsupervised route focused on parcel discovery, voxel or vertex grouping, and atlas-like region generation from neuroimaging features.
Idioma del texto original: inglés
Use this skill when users need to build, populate, or extend a domain-specific knowledge graph from literature and structured databases. Triggers include: 'build knowledge graph', 'extract claims from papers', 'ingest data into graph', 'batch extract claims',…
Idioma del texto original: inglés
Use this skill whenever the user wants to formalize a network architecture and derive theoretical components from a research idea. Triggers include: 'method design', 'design method', 'network architecture', 'formula derivation', 'method-design', 'theoretical…
Idioma del texto original: inglés
Use this skill whenever the user wants an end-to-end workflow for the Neuroimaging in Frontotemporal Dementia (NIFD) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, and dMRI, phenotype extraction, and QC integration. Triggers…
Idioma del texto original: inglés
Use this skill whenever the user wants an end-to-end workflow for the Parkinson's Progression Markers Initiative (PPMI) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, and dMRI, phenotype extraction, and QC integration. Triggers…
Idioma del texto original: inglés
Use this skill whenever the user wants to run phenotype-prediction models, browse model cards, map model inputs/outputs, or choose an execution route for fMRI/sMRI based models. This is a model-entry orchestration skill: it routes requests to model-specific…
Idioma del texto original: inglés
Use this model doc whenever the user wants to perform disease classification with SVM. This is a non-deep-learning supervised route focused on neuroimaging-based case-control prediction from ROI-wise or tabular features.
Idioma del texto original: inglés
2021年诺贝尔生理学或医学奖得主，PIEZO1/PIEZO2机械力感受器发现者。 以功能性筛选策略鉴定全新的离子通道家族，揭示了触觉、本体感觉等机械力转导的分子基础。 触发词：「Patapoutian」「PIEZO」「mechanosensation」「mechanotransduction」「压力感受器」「触觉分子机制」。 信息源：诺奖官网、Nature/Science/Cell论文、PNAS/Quanta Magazine/Kavli Prize、Scripps/HHMI官方资料。…
Idioma del texto original: Varios idiomas
2009年诺贝尔生理学或医学奖得主Carol W. Greider的智慧蒸馏——端粒酶发现者、分子生物学家、女性科学倡导者
Idioma del texto original: Varios idiomas
Craig C. Mello (2006年诺贝尔生理学或医学奖) 的思维框架与决策视角。 核心镜片：简单模型的力量、RNA作为信息货币、跨学科对话。 调研来源：诺奖官网、学术论文、STAT News、NBC News等一手素材。 触发词：「Mello视角」「RNAi思维」「简单模型思维」「基因沉默」「Mello怎么想」。
Idioma del texto original: chino
David Julius认知框架蒸馏 — 2021年诺贝尔生理学或医学奖得主，温度与触觉受体发现者。 以"自然界的分子工具"为核心方法论，从辣椒素出发开创了整个疼痛感知研究领域。 适用于：科学探索方法论、逆向工程思维、从日常现象发现深层机制的决策框架。 触发词：「Julius视角」「分子工具思维」「从现象到机制」「辣椒素范式」
Idioma del texto original: chino
2025年诺贝尔生理学或医学奖得主Fred Ramsdell的思维框架。 聚焦：免疫耐受机制发现、从单基因突变到疾病治疗的全链条思维、工业界科研的价值。 调研来源：7篇一手论文 + Nobel Prize官方资料。信息量有限（极低调的科学家），心智模型基于有限推断。 触发词：FOXP3、Treg、免疫耐受、自身免疫、IPEX、Fred Ramsdell、诺贝尔医学奖2025。
Idioma del texto original: chino
Jack W. Szostak（2009年诺贝尔生理学或医学奖得主）思维框架。 端粒与端粒酶的共同发现者，RNA世界假说/生命起源领域的领军人物。 核心镜片：化学还原论+跨学科碰撞+问题选择艺术。 适用场景：科研方向选择、跨学科创新、从化学第一性原理思考生命问题、科研诚信决策。
Idioma del texto original: chino
诺贝尔医学奖得主Jeffrey C. Hall的思维视角。2017年因发现昼夜节律分子机制获奖。 核心镜片：基础研究的长期主义、模型生物的非直觉力量、负反馈回路的哲学。 调研来源：14条（诺奖官网一手采访3篇、学术论文6篇、权威媒体5篇）。 心智模型：4个。触发词：「Hall视角」「果蝇哲学」「节律思维」「基础研究」。
Idioma del texto original: chino
诺贝尔奖得主Katalin Karikó的认知框架——40年逆共识坚持、从边缘到改变世界的思维操作系统。 核心镜片：内在信念驱动、问题导向超越领域、实验验证高于同行评价。 触发词：「卡里科」「Karikó」「mRNA思维」「逆共识坚持」「长期主义科学家」「被低估的天才」。
Idioma del texto original: chino
🏅 诺贝尔奖得主认知框架库。输入人名/主题→自动匹配诺奖得主思维视角，或直接激活指定得主的认知框架。 覆盖：2004-2025年诺贝尔生理学或医学奖全部55位得主。 用途：「用Karikó的视角分析」「哪个诺奖得主适合思考这个问题」「蒸馏某位新得主」。 触发词：「诺奖」「nobel」「XX的诺奖视角」「有没有诺奖级别的思维」「蒸馏诺奖得主」。
Idioma del texto original: chino
诺贝尔医学奖得主Ralph M. Steinman（2011年）思维框架。树突状细胞发现者， 在近20年学术质疑中坚守一个发现，用数据而非争辩回应怀疑，最终开创整个免疫学新领域。 用自己的发现治疗自己的胰腺癌——科学家的终极信仰实验。 6维度蒸馏，一手来源为主。触发词：「Steinman视角」「树突状细胞思维」「长期坚守」「数据回应质疑」。
Idioma del texto original: chino
Robert G. Edwards (1925-2013) 的思维框架与决策模式。2010年诺贝尔生理学或医学奖得主，体外受精(IVF)之父。 基于12个一手/二手来源的深度调研，提炼4个核心心智模型、7条决策启发式和完整的表达DNA。 用途：作为思维顾问，用Edwards的视角分析问题——特别是在科学创新、伦理争议、长期主义和跨学科协作场景中。 当用户提到「用Edwards的视角」「IVF之父怎么看」「Edwards模式」「Robert Edwards perspective」时使用。
Idioma del texto original: Varios idiomas
诺贝尔奖得主山中伸弥（Shinya Yamanaka）的认知框架。iPS诱导多能干细胞发现者，2012年诺贝尔生理学或医学奖。 核心镜片：临床痛点驱动的减法科学家——从24个因子削减到4个，从外科手术室走向诺贝尔奖。 触发词：「山中伸弥」「Yamanaka」「iPS细胞」「减法思维」「临床驱动研究」「化繁为简」。 调研来源：15+一手来源（Nobel官方、Cell论文、CiRA官网、多个采访），6个研究文件。 心智模型：4个 | 决策启发式：7条 | 诚实边界：5条
Idioma del texto original: chino
诺贝尔医学奖得主屠呦呦（Tu Youyou, 2015）的思维框架蒸馏。 核心镜片：从传统智慧中提取科学灵感的"古今转化"思维；低温突破决策。 警告：信息密度低（公开演讲/访谈极少），心智模型基于有限素材推断，诚实边界篇幅大。 触发词：「屠呦呦视角」「青蒿素思维」「古今转化」「传统中药现代化」。
Idioma del texto original: chino
2024年诺贝尔生理学或医学奖得主Victor Ambros的思维框架与表达方式。基于诺奖官网访谈、诺贝尔讲座、Lasker奖演讲、学术论文等20+个一手和二手来源的深度调研， 提炼4个核心心智模型、7条决策启发式和完整的表达DNA。 用途：作为思维顾问，用Victor Ambros的视角分析问题、审视决策、提供反馈——特别是关于基础研究价值、长期主义、异常数据探索等议题。 当用户提到「用Ambros的视角」「Ambros会怎么看」「microRNA思维」「基础研究价值」「长期主义科学」时使用。
Idioma del texto original: Varios idiomas
Skills for querying and downloading data from genomic, transcriptomic, 3D-genome, and cancer-genomics databases. Covers programmatic access to public repositories, gene annotation, sequence retrieval, processed functional-genomics tracks, Hi-C / Micro-C…
Idioma del texto original: inglés
Aesthetic guidelines for scientific figure production. Each style file specifies palettes, typography, layout, and domain-specific sub-styles for a given target venue (NeurIPS, Nature, IEEE, etc.) and figure class (methodology diagram vs. statistical plot).…
Idioma del texto original: inglés
General-purpose skills for data analysis infrastructure: environment management, parallel computing, and performance optimization.
Idioma del texto original: inglés
Skills for opening and driving agent-controllable visualization components in the Pantheon UI sidebar — interactive viewers the agent can open, control, and read back. Viewers: Vitessce (spatial / single- cell omics), Viv (bioimage / microscopy), plus…
Idioma del texto original: inglés
Skills for single-cell and spatial omics data analysis. Best practices, code snippets, and workflows for the scverse ecosystem.
Idioma del texto original: inglés
Skills for the Paper Write Team: report and academic templates for HTML/PDF rendering. Each template file is self-contained (HTML + CSS or LaTeX in a single markdown file).
Idioma del texto original: inglés
Obtain and predict protein 3D structures — fetch AlphaFold predicted models from the AlphaFold DB, experimental structures from the RCSB PDB, or predict a novel sequence with ColabFold — and visualise them in the Mol* LiveView.
Idioma del texto original: inglés