Use when when you have molecular structures encoded as SMILES strings and need to incorporate them into a multi-modal language model (such as BART) that also processes mass…
Use when after RAMClustR clustering of XCMS-detected features and prior to final compound annotation, when you need to verify the robustness of molecular weight inference or when…
Use when when you have metabolite structures (as SMILES strings) and need to predict their observable m/z ions under non-standard ionization conditions imposed by a derivatizing…
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
Molecular featurization hub (100+ featurizers) for ML. SMILES to fingerprints (ECFP, MACCS, MAP4), descriptors (RDKit 2D, Mordred), pretrained embeddings (ChemBERTa, GIN,…
Join the MoltLab research community — propose claims, run computations, vote on ideas, debate research, write papers, and review your colleagues' work.
Estrategia e implementacao de monetizacao para produtos digitais - Stripe, subscriptions, pricing experiments, freemium, upgrade flows, churn prevention, revenue optimization e…
Brainstorm 3-5 monetization strategies with audience fit, risks, and validation experiments. Use when exploring revenue models, evaluating pricing strategies, or deciding — from…
Brainstorm 3-5 monetization strategies with audience fit, risks, and validation experiments. Use when exploring revenue models, evaluating pricing strategies, or deciding — from…
Monitor running experiments, check progress, collect results. Use when user says \"check results\", \"is it done\", \"monitor\", or wants experiment output.
Implement model drift monitoring using Evidently AI, statistical tests (PSI, KS), and custom metrics to detect data drift and concept drift in production ML systems.
Monitor Proxmox infrastructure health and performance. Track node statistics, analyze resource utilization, and identify optimization opportunities across your cluster.
Monitors CockroachDB background job health by identifying failed, paused, and long-running jobs using SHOW JOBS and SHOW AUTOMATIC JOBS.
Monitor cross-chain bridge TVL, volume, fees, and transaction status across networks. Use when researching bridges, comparing routes, or tracking bridge transactions.
Use when when you have ranked gene statistics and gene set collections, and your analysis requires P-value discrimination below a fixed lower bound (e.g., distinguishing between…
Use when targeting Monthly Notices of the Royal Astronomical Society (MNRAS) or deciding whether an astronomy manuscript fits this RAS/OUP venue.
Use when the user asks for Moody's company profiles, ownership, ratings, credit opinions, financial statements, filings, peers, research, or credit-risk analysis for a company.
Discover and safely explore Moody's MCP tools. Use when the user wants to see what Moody's data is available, verify MCP connectivity, look up an entity, or run a lightweight…
Async deep-research report workflow using Messari AI. Starts a long-form research job, polls until complete, and returns a comprehensive report on any crypto topic, asset, or…
Apply Howard Marks's investment philosophy to evaluate stocks, assess risk, and identify buy/sell timing.
Use when after identifying a set of differentially accessible peaks (via tl.diff_test or equivalent), when you need to infer which transcription factors may regulate the observed…
Use when turning a locked still + blueprint into a provider-tuned motion prompt — camera, primary + secondary motion, physics, native-audio sync.
Motion (formerly Framer Motion) animation guidelines for React. Apply when editing files with `motion/react` imports, `whileHover`, `whileInView`, scroll, or spring effects.
Physics-based UI animation system. Spring physics, easing curves, micro-interaction patterns, and timeline staggering for native-quality web animations.
Build sophisticated React animations with Motion (formerly Framer Motion) - declarative animations, gestures (drag, hover, tap), scroll effects, spring physics, layout animations,…
Retrieve quantitative phenotypes across inbred mouse strains from MPD: metabolic, behavioral, physiological traits.
Fast path for adding a movie to the watch-later wishlist. Triggers on short phrases like "add the movie X", "add to films to watch X", "in the film wishlist Y", "new movie to…
Use when creating ATLAS publication-quality plots with matplotlib using mplhep: applying the ATLAS experiment style, placing ATLAS labels (Internal, Preliminary, Simulation),…
Myeloproliferative neoplasm (MPN) research expertise including JAK2/CALR/MPL mutations, myelofibrosis, polycythemia vera, essential thrombocythemia.
Use when when processing LC-MS peak tables from isotope tracing experiments where multiple ionization adducts ([M+H]+, [M+Na]+, [M+NH4]+, etc.) and in-source fragments have…
Use when when you have predicted MS/MS fragments from quantum chemistry calculations on N-Me derived unsaturated sterol structures and need to map each fragment to its precursor…
Use when you have experimental MS/MS spectra from nontargeted metabolomics data and need to assign molecular identities or identify structurally related analogs.
Use when you have an experimental MS/MS spectrum (e.g., from MassBank or local data) and need to identify significant fragment ions above noise, assign occurrence scores to peaks,…
Use when you have loaded raw MS intensity tables into QuantyFey and observe or suspect intensity drift artifacts across your measurement sequence.
Use when you have MGF or native MS/MS arrays (mz_array, intensity_array, precursor_mz, adduct) and want to predict the most likely molecular formula.
Use when you have a Thermo Fisher Scientific .raw file from an Orbitrap instrument and need to programmatically retrieve MS1 spectral attributes (base-peak m/z, intensity,…
Use when you have raw or unstructured MS2 spectral data (from untargeted tandem mass spectrometry experiments) and plan to run MS2MP inference for KEGG pathway prediction.
Use when you have a GNPS-generated molecular network (either classical or feature-based) and corresponding MS2LDA experiment output containing Mass2Motif-to-spectrum assignments,…
Use when when you have a GNPS molecular network (classical or feature-based) and corresponding MS2LDA experiment results, and you want to annotate network nodes with discovered…
Use when you have a GNPS molecular network (in GML or GraphML format) and a completed MS2LDA experiment on ms2lda.org, and you want to annotate network nodes with detected…
Use when your MSI data is stored in a Cardinal imaging experiment object (version 2.2+) that has already been peak-binned with peakBin(), and you want to run mass2adduct's…
Use when you have MSI intensity data exported from MSiReader, SCiLS, or Cardinal as plain-text CSV files or as Cardinal MSProcessedImagingExperiment/MSContinuousImagingExperiment…
Use when you have processed MSI data (peak matrix and spatial coordinates) from matrix-assisted laser desorption/ionization (MALDI) or silver-assisted laser desorption/ionization…
Use when after peak alignment with peakAlign(), when you have an MSImagingExperiment
Use when when you have a target compound (modified or unmodified) and need to obtain its experimental MS/MS spectrum and metadata to serve as a known reference for ModiFinder…
Use when building the analytical model or operational mechanism at the core of a Manufacturing & Service Operations Management (M&SOM) manuscript — formulating the decision,…
Drafts Material Transfer Agreements for biological materials between research institutions and commercial entities.
Multi-agent collaborative industry research for OpenClaw. Dynamically assigns research roles, runs parallel research via sessions_spawn with codex/gemini/claude CLI augmentation,…
Run multi-agent research-to-planning pipeline using two sequential agents. Use when the user has campaign data and needs a structured plan without code.
Conduct comprehensive research on any topic by coordinating 2-4 specialized researcher agents in parallel, then synthesizing findings into a detailed report via mandatory…
Parallel multi-AI cross-validation research workflow (大版本). Dispatch N internal sub-agents + grok + gemini in parallel, automatically cross-validate findings, tier by confidence…
Use when you have statistically significant features from multiple LC-MS assays with different ionization modes (e.g., positive and negative ESI) and need to collapse redundant…
Use when your metabolomics experiment includes samples acquired across multiple instrument runs, different preparation dates, or distinct sample cohorts.
Use when your TWIM-MS dataset contains ions with multiple charge states (e.g., +1, +2, +3 for the same molecular species) and you need CCS values that correctly account for the…
Use when you have a normalized gene expression matrix (bulk RNA-seq or microarray) from a time-course or multi-condition experiment and need to quantify whether known gene sets…
Use when you have multiple CSV feature tables from independent metabolomic experiments, each with RT and m/z annotations, and you need to produce a single consolidated feature…
Use when after performing an ANOVA-style multi-group de_design() analysis on a LipidomicsExperiment object, when you need to determine whether a categorical sample variable (e.g.,…
Conducts multi-jurisdictional legal research and risk assessment across 50+ countries using the Legal Data Hunter MCP, producing cited comparative analyses of case law,…
Use when you have acquired complementary spectroscopic measurements (NMR, HSQC, COSY, IR) for the same molecular sample and need to combine them for structure elucidation.