Bridges a traditional healing concept to modern neuroscience and physiology, naming what's established versus speculative.
Fetch medical references (PubMed, PMC, EuropePMC, RACGP/ACRRM/AMC exam reports, AJGP, AIHW, ClinicalKey, UpToDate, AMH, eTG, Murtagh, plus 8 generic publishers via USyd…
Use medical cv resume builder for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
Searches/appraises biomedical, clinical and rehab evidence in PubMed, PEDro and Cochrane. Use for effectiveness, dose, harms, diagnosis, prognosis, statistics/MCID, GRADE,…
Use when a task involves routing a possible safety-related event associated with an imaging AI workflow to record whether the work is research, engineering, or an approved…
Use when a task needs the judgment of a Medical Laboratory Scientist (Medical Technologist) — deciding whether a QC-failing analyzer run can release patient results, working a…
Use when a task needs the judgment of a Medical Laboratory Technician — deciding whether to release a chemistry result against a Westgard QC violation, screening a specimen for…
Retrieves scientific papers from PubMed and creates plain-language research summaries. Use when users ask about medical research, scientific studies, clinical trials, disease…
Matches a user’s biomedical research direction, disease problem, study aim, data modality, and resource constraints to the most relevant recent algorithms and method papers.
Identifies real, evidence-audited, topic-specific research gaps in medical research by first retrieving and verifying literature from trusted sources, then mapping the current…
Résume prudemment des articles, recommandations ou contenus médicaux. À utiliser quand l'utilisateur demande une synthèse scientifique, une revue rapide, ou veut comprend — from…
Query 14+ biomedical databases for drug repurposing, target discovery, clinical trials, and literature research.
Investigador médico senior. PubMed, evidencia clínica, systematic reviews, guidelines, farmacología.
Generate daily or on-demand medical research briefs for any medical specialty. Searches latest research from top-tier journals, delivers concise summaries with 1-sentence…
Medical research standards including IRB/Helsinki ethics, HIPAA, MeSH terminology, and ICMJE authorship criteria
Vector database retrieval and evidence-based answering for medical research topics. Use when users need knowledge-base-backed answers about methodology, disease mechanisms, drug…
Use when a problem spans multiple disciplines or when single-domain thinking has produced stale analysis—applies Munger's latticework of mental models across physics, biology, and…
Use when you have a baseline GNN model for predicting a continuous molecular property (e.
Medical literature search strategy generator. Given a user's natural-language description (e.g., meta-analysis topic, PICOS elements, research question), automatically extract…
Use when you have a set of candidate metabolites for an unknown compound detected in a liquid chromatography–mass spectrometry (LC-MS) experiment, predicted RTs from a trained DNN…
Use when you have peak-abundance data (after molecular formula assignment, peak filtering by m/z, isotope, ppm error, and sample presence thresholds) and you need to quantify and…
Use when after running RAMClustR clustering on XCMS-detected LC-MS features in positive ionization mode, when you need to assign molecular weights to compound clusters and want to…
Use when after running do.findmain on a RAMClustR-clustered object to infer molecular weights and assign features to compound clusters, when you need to conduct structural…
Use when you have a measured m/z value from spatially-resolved metabolomics or mass spectrometry imaging and need to assign a molecular formula with high confidence.
Use when when you have a small-molecule structure (SMILES, MOL, or SDF format) and need to identify probable metabolites or degradation products in a specific biological — from…
Use when when you have a small-molecule structure (SMILES, MOL, or SDF format) and need to predict its metabolic fate across one or more biological systems.
Use when you have peak intensity data from metabolomics experiments with annotated metabolites assigned to known groupings (KEGG pathways, Reactome, GNPS Molecular Families, or…
Use when you have two or more mass spectral libraries in different formats (NIST binary exports converted to MSP, MoNA downloads, RIKEN public databases, GNPS MGF, or batches of…
Use when you have multiple tandem MS/MS libraries in different formats (msp, mgf) from different providers (NIST, RIKEN, MoNA, GNPS) with incomplete or inconsistent structural…
Use when when you have raw or GNPS-processed MS2 spectral data from microbial strains and need to organize spectra into molecular families (grouped by spectral similarity) while…
Profiles shotgun metagenomes to species/SGB relative abundance with MetaPhlAn 4's clade-specific marker genes (bowtie2 short reads, minimap2 long reads).
Build comprehensive DNA methylation maps by aggregating WGBS (Whole Genome Bisulfite Sequencing) data across multiple ENCODE experiments, donors, and labs.
Build comprehensive DNA methylation maps by aggregating WGBS (Whole Genome Bisulfite Sequencing) data across multiple ENCODE experiments, donors, and labs.
Use when when analyzing DNA methylation data from bisulfite sequencing (RRBS, target-capture, or whole-genome) and the dataset is too large to fit comfortably in memory, or when…
Use when when processing MGF-format MS2 spectral libraries (e.g., GNPS) that contain SMILES but lack the Molecular Formula field, and you need to prepare the library for MS-DIAL…
Use when you have draft metabolic reconstructions (in SBML or standard format) for multiple organisms sampled from the same microbial community and need to produce a single…
Use when working with UMI-tagged or barcoded sequencing data — extracting sample/cell/UMI barcodes from reads, demultiplexing with degenerate adapter patterns, trimming barcodes…
Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics.
Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics.
Prepare, validate, and submit UMA/fairchem machine-learning interatomic potential calculations on Genkai with the established PJM launcher and UMA virtual environment.
Use when when you have a trained multitask model that accepts multiple input modalities (e.g., 1D NMR spectra in different nuclei or complementary analytical techniques) and you…
Validate, gap-fill, and curate genome-scale metabolic models using memote for quality scores and COBRApy for manual curation.
Use when you have a pre-trained GNN model for CCS prediction and need to verify that it generalizes to test data that was held out during training.
Use when a deep learning model for molecular structure prediction (e.g., NMR2Struct) has been trained and evaluated on a limited molecular size range (e.
Curate, review, or repair ai-gene-review ModuleReview YAML documents under modules/, including pathway/module boundary setting, parts and variant modeling, annoton-level molecular…
Deterministic validity / synthesizability / drug-likeness gate over GENERATED molecules with karyon — reject invalid, unsynthesizable, or out-of-range candidates with named…
Use to build Molecular Cell's data and code deposition plan and the Data and Code Availability statement inside STAR Methods Resource Availability — approved repositories (GEO,…
Use to finalize Molecular Cell display items — column-width sizing, minimum fonts, RGB, show-the-data with defined error bars/n/replicate type, gel/blot and structural-figure…
Use when triaging a study before any writing — stress-tests whether it clears Molecular Cell's bar (a deep molecular mechanism proven by orthogonal approaches with physiological…
Use to lock the single-mechanism arc before drafting — converts a set of correct experiments into one Molecular Cell story that runs molecular question → the mechanism →…
Use to produce the three signature Cell Press front-matter artifacts for Molecular Cell — Highlights (3–4 bullets, each ≤85 characters), the eTOC/In Brief blurb (~50 words,…
Use to build Molecular Cell's mandatory STAR Methods — the Key Resources Table, the Resource Availability subsections, Experimental Model and Subject Details, Method Details, and…
Use as the final preflight before submitting to Molecular Cell — a complete checklist across mechanism, single-mechanism arc, length budget, figures, STAR Methods, data…
Use to write Molecular Cell's Summary — a single unstructured paragraph (~150 words; re-check on the official site) that conveys the molecular question, the mechanism, and its…
Use when deciding which molcell-* sub-skill to invoke next, or when sequencing a manuscript from mechanism-fit test through reviewer rebuttal for Molecular Cell (Mol.
Use when targeting Molecular Biology and Evolution (MBE) or deciding whether a molecular evolution manuscript fits this venue.
分子生物学设计与验证范畴路由。用于 PCR/qPCR 引物探针、CRISPR sgRNA pegRNA donor、限制性酶切和克隆图谱、质粒注释、RNA 二级结构和结构探针等实验设计任务，选择具体 skill 并生成可执行交接物。
Use when after a trained CNN model has generated molecular embeddings for query spectra, and you need to retrieve the most likely candidate molecules from a reference database.
Use when you have a curated dataset of small molecules with SMILES, optional 3D coordinates, adduct information, and experimentally measured CCS values (in Ångströms or similar…
Use when targeting Molecular Cell (Mol Cell) or deciding whether a molecular-biology manuscript fits this Cell Press venue.