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Claude Skills by raktim-mondol
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- Mechanical EngineerReasons from equilibrium, failure physics, and code-backed allowables; designs through requirements, GD&T, DFMEA, and hand/FEA/test validation with explicit governing failure modes.Votes: 0GitHub stars: 2
- Mechatronics EngineerReasons from reflected inertia, control bandwidth, sensor physics, and thermal duty cycle through Bode loop-shaping with phase/gain margins, FOC current-velocity-position loops, plant identification, HIL, and IEC 61800-5-2 STO architecture while treating backlash and structural-mode resonance, transport-delay phase loss, encoder aliasing, and EMC ground loops as first-class failure modes.Votes: 0GitHub stars: 2
- Medical GeneticistReasons from pedigree priors, HPO phenotype match, and ACMG/ClinGen variant classification; integrates exome/genome, CMA, RNA splicing, NBS ACT pathways, Tier 3 carrier screening, SF v3.3, and CPIC pharmacogenomics while treating VUS overcall, CPM/NIPT discordance, mtDNA heteroplasmy sampling, and SpliceAI-only splicing claims as first-class failure modes.Votes: 0GitHub stars: 2
- Medical MycologistReasons from EUCAST/CLSI antifungal susceptibility, culture and MALDI-TOF ID, galactomannan/β-D-glucan assays, and CLSI breakpoints while treating contamination, cryptic species mis-ID, and azole MIC trailing as first-class failure modes.Votes: 0GitHub stars: 2
- Medical ParasitologistReasons from specimen-stage fit, exposure-based pretest probability, and antigen-versus-antibody kinetics through thick/thin Giemsa films, formalin-ethyl-acetate concentration with trichrome, multiplex PCR, and EITB serology against CDC DPDx and WHO algorithms, while treating pfhrp2/3-deleted RDT false-negatives, single-O&P misses of Strongyloides, and colonization-mistaken-for-infection as first-class failure modes.Votes: 0GitHub stars: 2
- Medical PhysicistReasons from CTDIvol/SSDE, HU accuracy, ACR/MQSA QA, TG-126 PET/CT, TG-18/TG-270 displays, and NCRP 147 shielding across CT, MRI, mammography, NM/PET, and therapy QA while treating phantom-mismatch dose claims, SUV normalization drift, display washout, and post-upgrade MEE gaps as first-class failure modes.Votes: 0GitHub stars: 2
- Medicinal ChemistReasons from structure-activity relationships, lipophilicity and unbound-fraction physicochemistry, synthetic accessibility, and target-product-profile multiparameter optimization through LLE/Fsp3/QED scoring, FEP+/Glide docking validated against co-crystal and SPR data, ELN-tracked LC-MS/NMR synthesis, and DMPK panels (microsomal CL, Caco-2 efflux, hERG, CYP) while treating PAINS and aggregation assay artifacts, biochemical-versus-cellular potency gaps, reactive-metabolite soft spots, and fr...Votes: 0GitHub stars: 2
- Membrane BiophysicistReasons from Helfrich elasticity, Lo/Ld phase behavior, and intrinsic curvature; builds GUVs, SLBs, nanodiscs, and BLMs; reads Laurdan GP, FRAP/FCS, aspiration, and electrophysiology while treating multilamellarity, detergent carryover, and probe misinterpretation as first-class failure modes.Votes: 0GitHub stars: 2
- Mems EngineerReasons from scale-dependent mechanics, squeeze-film damping, and electrostatic pull-in through DRIE Bosch/surface micromachining, CoventorMP/COMSOL, foundry PDKs, LDV/WLI metrology, and AEC-Q103 qual while treating release stiction, DRIE scallop bias, package-stress offset drift, and functional-WLT-vs-reliability gaps as first-class failure modes.Votes: 0GitHub stars: 2
- Metabolomics ScientistReasons from MSI annotation levels, pooled-QC RSD and D-ratio gates, MZmine/MS-DIAL/XCMS pipelines, HMDB/GNPS identification, and MetaboAnalyst batch correction (ComBat, QC-RLSC); treats injection-order drift, ComBat over-correction, and Level-5 pathway stories as first-class failure modes.Votes: 0GitHub stars: 2
- MetallurgistReasons from phase diagrams, TTT/CCT paths, and Scheil solidification through Jominy hardenability (ASTM A255), ASM heat-treat cycles, metallography (ASTM E3/E112/E407), and staged failure analysis while treating decarburization, quench cracking, HAZ liquation, hot tearing, and microsegregation as first-class failure modes.Votes: 0GitHub stars: 2
- MeteorologistReasons from hydrostatic and geostrophic balance, scale-dependent dynamics, and the obs-to-NWP pipeline; works the Snellman funnel, matches HRRR/GFS/ECMWF to scale, and treats spin-up, convective scheme bias, radar AP, and PoP misinterpretation as first-class failure modes.Votes: 0GitHub stars: 2
- Methodology ReviewerReview experimental/computational study design for validity threats.Votes: 0GitHub stars: 2
- Metrology ScientistReason from SI traceability, GUM uncertainty budgets, and VIM distinctions between calibration and verification; propagates Type A/B components, CIPM MRA equivalence, and ILAC decision rules before any pass/fail claim.Votes: 0GitHub stars: 2
- Microbial EcologistReasons from Vellend assembly (selection, dispersal, drift, diversification), compositional stats (ANCOM-BC2, MaAsLin2, Aitchison), and SILVA/GTDB/EMP workflows; treats kitome contamination, GCN bias, pseudoreplication, SparCC-as-interaction, and PICRUSt2-as-measured-function as first-class failure modes.Votes: 0GitHub stars: 2
- Microbial PhysiologistReasons from Monod/chemostat (μ = D), YX/S and Pirt maintenance, Crabtree/overflow, 13C-MFA and FBA, and BMSAB taxonomy; treats OD-as-biomass yield error, FBA-as-measured-flux, washout misread, and portable ms across media as first-class failure modes.Votes: 0GitHub stars: 2
- MicrobiologistReasons from culturability limits, CFU/MPN enumeration, selective media, DADA2/QIIME2 16S ASVs (SILVA/GTDB), and shotgun metagenomics (Kraken2, MetaPhlAn, HUMAnN); treats plate-count anomaly, compositional stats pitfalls, kit contamination, and index hopping as first-class failure modes.Votes: 0GitHub stars: 2
- Microbiome ScientistReasons from compositional and longitudinal stats (MaAsLin2, ANCOM-BC2), STORMS pre-analytics, FMT/LBP and diet trials, and multi-omics integration; treats PPI/antibiotic confounders, kitome contamination, host-DNA swamping, and HMA causality overclaim as first-class failure modes.Votes: 0GitHub stars: 2
- Microelectronics EngineerReasons from CTE mismatch, θja networks (JESD51), and package RLC through wire bond (Au–Al IMC, loop height), flip-chip (UBM, underfill, HIP/NWO), J-STD-020 MSL, and JESD22 TCT/uHAST; treats datasheet θja without board definition, wire sweep, die-attach voids, and soak-mode mismatch as first-class failure modes.Votes: 0GitHub stars: 2
- MineralogistReasons from crystal chemistry, Pauling coordination, and converging optics–XRD/Raman–EPMA evidence; uses RRUFF/Mindat/AMCSD and CNMNC Checklist 2025 while treating preferred orientation, clay EG/heat triads, metamict amorphization, and QEMSCAN library bias as first-class failure modes.Votes: 0GitHub stars: 2
- Mining GeologistReasons from deposit-type models (porphyry, VMS, SEDEX, orogenic Au, IOCG, skarn) through oriented core logging, domaining, variography, OK/MIK/LUC estimation, and Chain-of-Mining reconciliation to JORC Table 1, NI 43-101 Item 14, and CIM MRMR reporting; uses Leapfrog, GIM Suite/MX Deposit, and Parker F-series factors while treating support/compositing errors, batch QA/QC failures, OK smoothing bias, and Inferred-overclaim as first-class failure modes.Votes: 0GitHub stars: 2
- Ml AuditorAudit ML methodology: leakage, splits, baselines, evaluation validity.Votes: 0GitHub stars: 2
- Mlops EngineerReasons from data contracts, feature parity, evaluation gates, and rollback-readiness through MLflow/W&B registries, Feast feature stores, KServe/Triton serving, Great Expectations/TFDV validation, and Evidently PSI/KS drift monitors while treating train-serve skew, data leakage, silent degradation, and schema/concept drift as first-class failure modes.Votes: 0GitHub stars: 2
- Modal UsageCloud computing platform for running Python on GPUs and serverless infrastructure. Use when deploying AI/ML models, running GPU-accelerated workloads, serving web endpoints, scheduling batch jobs, or scaling Python code to the cloud. Use this skill whenever the user mentions Modal, serverless GPU compute, deploying ML models to the cloud, serving inference endpoints, running batch processing in the cloud, or needs to scale Python workloads beyond their local machine. Also use when the user wa...Votes: 0GitHub stars: 2
- ModalUse Modal for GPU/CPU remote compute beyond what the modal_run tool covers — Volumes, Secrets, Queues, deployed apps/endpoints.Votes: 0GitHub stars: 2
- Molecular BiologistReasons from central-dogma sequence flow, binding affinity (Kd/Km/kcat), gene regulation, and biological-versus-technical replicate structure through MIQE-compliant RT-qPCR, ddPCR, Western/flow/microscopy, CRISPR editing with rescue, and IWGAV antibody validation while treating off-target reagent effects, batch effects, mycoplasma and cell-line misidentification, and toxicity-driven artifacts as first-class failure modes.Votes: 0GitHub stars: 2
- Molecular EcologistReasons from population genetics, eDNA/metabarcoding, and marker choice (microsatellites, SNPs, mtDNA); analyzes with STRUCTURE/ADMIXTURE, hierfstat FST, DADA2 pipelines, and ddPCR; treats null alleles, Wahlund effect, batch effects, and eDNA allelic dropout as first-class failure modes.Votes: 0GitHub stars: 2
- Molecular GeneticistReasons from sequence-as-hypothesis, reference context (genome build, MANE/RefSeq transcript, HGVS), and allele-level molecular consequence through ACMG/AMP-ClinGen criteria, IGV/VEP/SpliceAI/gnomAD/ClinVar review, MIQE-compliant qPCR/ddPCR, and Sanger/NGS validation while treating allele dropout, pseudogene/paralog misalignment, FFPE deamination, contamination and barcode bleed, and transcript/build mismatch as first-class failure modes.Votes: 0GitHub stars: 2
- Molecular NeuroscientistReasons from NPQ transmission, AMPAR/NMDAR trafficking, monoamine receptor/transporter systems, optogenetics (ChR2/Chrimson/ACR) with retinal-artifact controls, AAV/rabies circuit tracing, and region RNA-seq with DESeq2/SynGO—integrating synaptic biochemistry, perturbation, and omics while treating mini-detection bias, TVA leak, and batch/composition confounds as first-class failure modes.Votes: 0GitHub stars: 2
- Molecular PathologistReasons from tumor cellularity, assay-specific LOD, and AMP/ASCO/CAP Tier I–IV classification; validates IHC (CAP ≥90% concordance), FISH (HER2/ALK break-apart), and NGS oncology panels under CAP/CLIA MM09 while treating FFPE deamination, HER2-low/ultralow scoring, PD-L1 TPS vs CPS, and ctDNA CHIP as first-class failure modes.Votes: 0GitHub stars: 2
- Molecular VirologistReasons from Baltimore mRNA pathways, RNP/polymerase biochemistry, cap-snatching and expression strategy, CPER/BAC/trVLP rescue, protease cis/trans mapping, viral-factory LLPS, and CRISPR host-factor screens (Brunello/MAGeCK/replicon/TRPPC) with iCLIP/ChIP-seq—while treating CPER PCR errors, DIP packaging competition, minigenome structural-protein signal, and uninfected CRISPR dropout as first-class failure modes.Votes: 0GitHub stars: 2
- MycobacteriologistReasons from slow-growing acid-fast bacilli, knife-edge NALC-NaOH decontamination, and BSL-3 aerosol risk through MGIT culture, Xpert MTB/RIF and line-probe assays, MALDI-TOF and WGS resistance calls against the WHO mutation catalog while treating over-decontamination false negatives, laboratory cross-contamination pseudo-outbreaks, and NTM colonizer-versus-disease misclassification as first-class failure modes.Votes: 0GitHub stars: 2
- MycologistReasons from fungal life cycles, voucher-first taxonomy, and integrated sporocarp–culture–ITS/multilocus workflows; uses MycoBank/UNITE/MaarjAM, FUSARIUM-ID, EPPO Q-bank, and MycoCosm while treating rich-media non-sporulation, ITS saturation in Fusarium/Penicillium, AMF SSU vs ITS misuse, environmental-DNA-only names, and BSL-3 dimorphic mould handling as first-class failure modes.Votes: 0GitHub stars: 2
- Nanomaterials ScientistReasons from size-dependent thermodynamics, surface-to-volume ratio, and DLVO colloidal stability through TEM/STEM statistics, DLS/NTA, XRD Scherrer, XPS, ICP-MS, and PL quantum-yield methods while treating aggregation, beam damage, intensity-weighted DLS sizing bias, and Ostwald ripening as first-class failure modes.Votes: 0GitHub stars: 2
- NanophysicistReasons from quantum confinement dimensionality, Coulomb diamonds and SET conditions, Kondo vs Luttinger-liquid power laws, and lock-in cryostat transport through STM/STS, AFM/KPFM, and STEM/EELS while treating charging artifacts, tip convolution, contact resistance, and beam-damage plasmon shifts as first-class failure modes.Votes: 0GitHub stars: 2
- NanotechnologistReasons from length-scale manufacturing limits, EUV/NIL/EBL patterning, DSA defectivity, and interface-controlled integration through CD-SEM/AFM/TEM metrology, SEMI E10 yield discipline, and ISO 80004/FDA nanomaterial reporting while treating SEM shrinkage, NIL residual-layer non-uniformity, overlay error, and cherry-picked die yield as first-class failure modes.Votes: 0GitHub stars: 2
- Natural Language Processing ScientistReasons from tokenization, data curation (datatrove/NeMo), and evaluation protocols (SacreBLEU/COMET, IFEval, HELM); enforces contamination audits (ConTAM, perplexity separation), paired bootstrap significance, SFT→DPO/RLHF with alignment-tax checks, and ARR/Dodge reproducibility while treating exposure bias, benchmark leakage, prompt-template confounds, and metric gaming as first-class failure modes.Votes: 0GitHub stars: 2
- Natural Products ChemistReasons from dereplication (GNPS FBMN, NPAtlas, SNAP-MS, COCONUT), bioassay-guided and MS-triggered isolation, NMR/HRMS structure tiers (DP4+/DU8+), antiSMASH/MIBiG BGC linkage, and PAINS/IMP assay interference while treating HMBC ambiguity, stereochemical misassignment, and aggregator false positives as first-class failure modes.Votes: 0GitHub stars: 2
- Naval ArchitectReasons from displacement, Bonjean/KN–GZ stability, ITTC-78 resistance extrapolation, Wageningen B-series propulsion, WAMIT/NEMOH seakeeping, and IACS CSR scantlings while treating Froude/Re scale mismatch, free-surface GM error, Holtrop range violations, and trial CA bias as first-class failure modes.Votes: 0GitHub stars: 2
- Network EngineerReasons from OSI layering, control vs. data plane, and path symmetry through BGP policy (TCP/179, communities, RR), OSPF areas/LSA adjacency, 802.1Q VLAN/trunk design, spine-leaf Clos/VXLAN-EVPN fabrics, and L1→L7 troubleshooting while treating asymmetric routing, MTU black holes, native-VLAN mismatch, and BGP OutQ/hold-time flaps as first-class failure modes.Votes: 0GitHub stars: 2
- Network ScientistReasons from adjacency structure, generative models, and null hypotheses through configuration-model and SBM/ERGM nulls, CSN power-law fitting with log-normal Vuong tests, and multi-algorithm community detection (Louvain, Leiden, Infomap, graph-tool) while treating artifactual scale-free tails from correlation thresholding, modularity's resolution bias, force-directed hairball over-interpretation, and test-edge leakage in link prediction as first-class failure modes.Votes: 0GitHub stars: 2
- NeuroanatomistStereotaxic targeting and skull leveling, Paxinos/Allen atlases, anterograde/retrograde tracing, Nissl vs IHC, BrainGlobe/QuickNII registration, and injection-spread or fibers-of-passage artifacts.Votes: 0GitHub stars: 2
- NeuroendocrinologistReasons from hypothalamic–pituitary portal axes (HPA, HPG, HPT), KNDy/GnRH pulsatility, SCN circadian gating, and SON/PVN neuropeptide release; uses HypoMap/HYPOMAP, stereotaxics with opto/chemogenetics, validated ELISA/RIA/FCM and LC-MS/MS, CoAL/CAR reporting, while treating bleed-stress corticosterone, pulse undersampling, assay-kit bias, and species translation as first-class failure modes.Votes: 0GitHub stars: 2
- NeuroengineerReasons from electrode–electrolyte charge-density limits and foreign-body gliosis through Utah/Neuropixels chronic recording, EIS impedance spectroscopy, Kilosort3/MountainSort validation, FDA IDE pathways, and explant histology (GFAP/Iba1) while treating impedance drift, unvalidated auto-sort inflation, and acute-to-chronic yield collapse as first-class failure modes.Votes: 0GitHub stars: 2
- Neuroimaging ScientistReasons from k-space acquisition physics, BOLD hemodynamics, and per-voxel statistical models through fMRIPrep/QSIPrep BIDS pipelines, FSL/SPM/nilearn analysis, neuroCombat harmonization, and TFCE/permutation inference while treating head motion, partial-volume and reference-region errors in PET, global-signal regression artifacts, and site over-correction as first-class failure modes.Votes: 0GitHub stars: 2
- NeuroinformaticianReasons from FAIR schema, provenance, and pinned software environments through BIDS, NWB, ontologies, versioned Snakemake/Nextflow pipelines, and bids-validator/nwbinspector checks while treating silent metadata failures like wrong NWB units, colliding multi-site subject IDs, unsynced event onsets, and atlas-version mismatch as first-class failure modes.Votes: 0GitHub stars: 2
- NeurologistReasons from anatomic localization, time course, and phenomenology through NIHSS/ASPECTS stroke triage, ILAE 2025 seizure classification, McDonald 2017 and AQP4/MOG cell-based assays, EEG and EMG/NCS, and SNOOP4 red flags, while treating CT-negative early ischemia, ~50%-sensitive routine EEG, MS-versus-NMOSD/MOGAD misdiagnosis, and missed myasthenic-crisis respiratory decline as first-class failure modes.Votes: 0GitHub stars: 2
- NeuropharmacologistReasons from Kp,uu,brain and receptor occupancy, radioligand binding with depletion-aware Ki, biased GPCR/allosteric signaling, PDSP/GtoPdb panels, microdialysis and PET RO, and operant self-administration while treating Cheng-Prusoff error, P-gp efflux, FST validity limits, and patch-clamp Rs artifacts as first-class failure modes.Votes: 0GitHub stars: 2
- NeurophysiologistReasons from membrane biophysics, patch clamp Rs/seal quality, Neuropixels AP/LF streams, LFP referencing and spike contamination, Kilosort4/Phy curation, and stimulation-artifact suppression.Votes: 0GitHub stars: 2
- Neuropixels AnalysisNeuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuropixels 1.0/2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.Votes: 0GitHub stars: 2