Project configuration wizard for planning system. Manages executor generation, health checks, build systems, and skill domains.
Martial arts as body discipline — the shared pedagogical structure across striking, grappling, and weapon arts (stance, distance, timing, ukemi, live partner work, graded ranking,…
Český standalone-first skill pro návrh, implementaci, code review a atestační připravenost elektronických systémů spisové služby podle zákona 499/2004 Sb., vyhlášky 259/2012 Sb.
Marvel integration. Manage data, records, and automate workflows. Use when the user wants to interact with Marvel data.
Автопостинг и верификация новостей Marvel/MCU + Doctor Who в канал mcu_news_rus. Когда пользователь говорит «пост»/«новости»/«запускай пост» — искать свежие новости, прогнать…
Klassifiziert Roboter als Maschine, unvollständige Maschine, Sicherheitsbauteil, austauschbare Ausrüstung oder Softwarekomponente. — from Klotzkette/claude-fuer-deutsches-recht
Klassifiziert Roboter als Maschine, unvollständige Maschine, Sicherheitsbauteil, austauschbare Ausrüstung oder Softwarekomponente. — from Klotzkette/claude-fuer-deutsches-recht
Maschinen/Anlagen: CE, Konformitätserklärung, technische Dokumentation, Risikobeurteilung und Marktüberwachung im Berichtspflichten.
Maschinenleasing: Abnahmeprozess, Wartungsverantwortung, Stillstandsrisiko, Mängelrechte und Rückgabe im Leasingrecht.
Prüft, ob Robotik unter besondere Maschinenkategorien und strengere Konformitätsbewertung fällt.
Create and develop Mascot Distiller custom quantitative proteomics reports, and drive Distiller unattended.
Drive the Mascot Distiller SDK (MDRO) — the COM API for raw vendor data, peak detection, TICs, spectra, and peak list export (MGF/DTA/PKL).
Explain Mashbill's headless Novel design model, data layout, MCP tools, and workflows.
Create a structured Novel design project in a user-selected workspace directory.
Publish a validated Novel project snapshot and service release in immutable format F.
Read a Novel design project and summarize its foundation, actors, services, features, and gaps.
Build cross-game mashups and total conversions, the "Minecraft inside Elden Ring" or "skateboarding in MW2" kind.
Use when processing, summarizing, or timestamping content that references the Thai royal family, succession, or sensitive political issues, requiring strict metaphor-based masking…
Activate when: "why isn't the bonus motivating them," "already paid well but disengaged," "what need does this product really serve," "team is in survival mode," "they need to…
Mason integration. Manage data, records, and automate workflows. Use when the user wants to interact with Mason data.
AI-powered image and video generation using the Masonry CLI. Generate images, videos, check job status, and manage media assets.
Use when a task needs the judgment of a masonry helper — mixing and batching mortar to a mason's laying pace, staging and cutting brick/block/stone to spec, tending scaffolding…
Use when after implementing or modifying an mzML parser module that converts mzML files into MS-DIAL's internal data model, and before integrating the parser into the production…
Use when you have intracellular metabolomics concentration measurements across multiple cell lines or conditions, a stoichiometric metabolic network model with reaction-metabolite…
Use when you have extracted and intensity-normalized fragment ion masses and neutral loss values from MS/MS spectra and need to prepare them for unsupervised topic modeling to…
Use when after successfully matching at least 5 reference m/z points (from a .ref file) to spectrum peaks within a PPM error window (starting at ±1.0 ppm and widened iteratively…
Use when after MS-Dial peak picking and feature table construction, when you observe a high proportion of features with anomalous m/z decimal values that are inconsistent with…
Use when after importing MSI data as an msimat object and having a list of detected peak masses, but before annotating which mass differences correspond to biologically plausible…
Use when after peak picking and sample alignment when you have an aligned feature table containing m/z and retention time coordinates.
Use when when annotating observed mass spectrometry peaks against theoretical fragment ions (b, y, or other ion types) using ProForma 2.0 peptidoforms, compute the m/z deviation…
Use when you have isolated TIC peak regions and need to extract ion chromatograms
Use when when annotating full-scan MS or MS imaging data against a metabolite database (e.g., LipidMaps, HMDB) and you need to control the stringency of m/z matching.
Use when after LDA modeling has produced an inferred motifset (JSON format) containing Mass2Motifs with fragment and neutral-loss patterns.
Use when after mass track extraction from individual LC-MS samples, when you need to align mass tracks across a cohort to produce a unified feature matrix.
Use when when you have constructed a MassGrid (m/z-aligned mass tracks across multiple samples) and need to retrieve all sample-specific mass tracks for a given m/z value in order…
Use when when preparing a chemical database for virtual or real MS/MS acquisition, and you need to focus on a specific m/z window (e.g., 100–1000) that matches your instrument's…
Use when when searching for peptide spectra with unknown or open modifications (i.e., any mass shift within a broad tolerance range rather than a fixed set of known modifications).
Use when when you have limited real GC-MS overlapped peak data but need thousands of labeled examples to train a deep learning model for mass spectral deconvolution.
Use when you have raw LC-MS/MS spectral data in vendor formats or unvalidated .mgf files before feeding them into the specXplore importing pipeline.
Use when you have raw GC-MS data with overlapped peaks in a specific retention time region and need to resolve the individual pure mass spectra of all components present in that…
Use when you have multiple mass spectral libraries in different formats (NIST MSP + MOL folder, MoNA MSP, RIKEN MSP, SWGDRUG MSP) and need to merge them into a single,…
Use when you have acquired EI or MS/MS spectral libraries from multiple public sources (NIST, RIKEN, MoNA, SWGDRUG, GNPS) with inconsistent metadata field layouts, missing or…
Use when when applying a pre-trained Spec2Vec Word2Vec model to new mass spectra (particularly those outside the model's training distribution), you need to assess whether peaks…
Use when you have centroided MS2 spectra (in mzML format from data-dependent acquisition) and a list of known or suspect PFAS diagnostic fragment masses, and you need to…
Use when after peak detection and feature table generation when you have a collection of m/z, retention time, and intensity values and need to identify which features are related…
Use when you have predicted structural similarity scores (e.g., Tanimoto or Dice scores) for a large set of spectrum pairs and need to assess prediction accuracy across the full…
Use when after XCMS feature detection, grouping, and retention time correction when you have aligned features with consistent retention times and intensity patterns across samples.
Use when when you have a list of chemical compounds (with m/z values, retention times, and intensities) and need to simulate their acquisition behavior under a specific ionization…
Use when you have preprocessed MS/MS spectra with measured precursor m/z values but the ionization adduct type is unknown or ambiguous—particularly in metabolomics workflows where…
Use when when you have baseline MS/MS peak annotations from a known compound but need to refine them using newly available structural information (e.
Use when you have implemented or modified a tandem mass spectrometry formula inference model and need to measure whether a specific architectural change (e.
Use when when claiming that one mass spectrometry processing library achieves higher throughput than competitors, or when evaluating whether a new or optimized implementation…
Use when after peak detection when you have a detected peaks table with m/z values and need to correct systematic mass drift or inaccuracy before peak alignment across multiple…
Use when you have a combined EI library (from multiple sources such as NIST, RIKEN, MoNA) and access to NIST RI database files (ri.dat and USER.
Use when you have a preprocessed GC-MS dataset (from spreadOut) with standardized column names (Compound.Name, Component.RT, Base.Peak.MZ, Component.Area, Match.Factor) and a…
Use when you have generated a peak table or feature list from MZmine, XCMS, MS-DIAL, or Compound Discoverer in its native export format and need to ingest it into LipidMa — from…
Use when implementing replacement methods ($<-, [<-, spectraData<-, mz<-, intensity<-, peaksData<-) for a writable MsBackend subclass, or when modifying peak data in an existing…
Use when when you have processed LC-MS/MS spectral data in .mgf format with precomputed ms2deepscore similarity matrices and need a 2-D overview representation that preserves…
Use when after peak picking, sample alignment, and isotopologue/adduct grouping steps have been completed in an untargeted LC-MS workflow.
Use when you have raw MRM sample files from an LC-MS/MS instrument and need to programmatically identify and tabulate all precursor m/z and product m/z pairs for each MRM…