Unified math capabilities - computation, solving, and explanation. I route to the right tool. — from vibeeval/vibecosystem
Unified math capabilities - computation, solving, and explanation. I route to the right tool. — from majiayu000/claude-skill-registry
Unified math capabilities - computation, solving, and explanation. I route to the right tool. — from majiayu000/claude-skill-registry
Unified math capabilities - computation, solving, and explanation. I route to the right tool. — from majiayu000/claude-skill-registry
Produce reviewable worked explanation with validation, safety checks, and structured output. Use when a teacher, learner, or subject-area tutor needs this bounded workflow and…
Real-world problem formulation, mathematical abstraction, and applied mathematics for translating between practical problems and mathematical frameworks.
Use when running the final Mathematical Finance submission preflight through Wiley Research Exchange, including LaTeX source, compiled PDF, supplementary files, classifications,…
Router for a Mathematical Finance (Wiley) manuscript — decides which mathfin sub-skill to use next across the theorem-first lifecycle, from problem selection through Wiley…
Use when polishing a Mathematical Finance (Wiley) manuscript's theorem-first exposition — definitions, numbered assumptions, theorem statements, proof sketches, appendices,…
Use when working with large-scale data, similarity search, deduplication, top-K / heavy-hitters, streaming analytics, cardinality estimation, embeddings, recommender systems,…
Generate satirical "math slop" ragebait formulas that connect famous constants (φ, π, e, i) in trivially true but profound-looking equations. Outputs LaTeX.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific…
Statistical/data-analysis modeling lead for COMAP MCM/ICM Problem C. Use when you need to interpret C题需求、检查题目数据是否足够/是否允许外生数据、制定可验证的统计/机器学习建模方案，并输出不确定性区间与稳健性分析。
Execute the BACKPROPAGATION phase of MCTS to update node statistics from leaf to root
Trade mean reversion setups in the style of Scarface Trades, the mean reversion specialist known for mathematical precision and statistical edge.
Documents the results of a completed experiment or A/B test with statistical analysis, learnings, and recommendations.
Analyze survey results into actionable PM insights. Produces persona segmentation, hypothesis validation status, thematic clustering of open-text responses, statistical confidence…
Systematic review and meta-analysis pipeline for medical research. Covers protocol registration (PROSPERO), search strategy, screening, data extraction, risk of bias assessment…
Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics.
Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles.
Use when you have a raw or extracted peak feature table (CSV or tabular format) containing mass-to-charge ratios, retention times, and intensity values across multiple samples…
Use when you have an untargeted metabolomics feature table (with m/z, retention time, and statistical significance values) and want to predict which metabolic pathways and…
Use when after preprocessing, imputation, and batch correction of LC-MS peak tables when you need to group redundant or related feature measurements (e.g., [M+H]+ and [M+Na]+…
Use when you have XCMS-processed LC/MS peak data from dual-labeled (e.g., 13C) and unlabeled (12C) metabolomics samples and need to distinguish features genuinely enriched by…
Use when after statistical analysis (e.g., MB-PLS with permutation testing) has identified a subset of significant LC-MS features (p < 0.05 or similar threshold) that require…
Use when after MamsiStructSearch has completed structural clustering of statistically significant LC-MS features (p < 0.
Use when you have extracted clustering or classification accuracy metrics (NMI, ARI, purity scores) for two or more competing methods evaluated on multiple datasets, and need to…
Audit a minimum-necessary research Question Pack for evaluation validity, leakage, confounding, statistics, reproducibility, falsification, and evidence quality.
Use when after calculating differential methylation across samples using calculateDiffMeth(), when you need to separately enumerate and extract hyper-methylated (increased…
DNA methylation analysis with methylKit in R. Import Bismark coverage files, filter by coverage, normalize samples, and perform statistical comparisons.
Analyze DNA microarray data from GEO datasets. Use when asked to analyze microarray data, perform differential expression analysis, or when given a GEO accession (GSE*).
Use when after feature extraction and quality control filtering (blank masking, sample dropping, normalization) have been applied, but before statistical analysis or machine…
Detects and prevents data leakage in machine learning and mathematical modeling. Use after ML tasks involving data cleaning, feature engineering, data augmentation, algorithm…
Use when revising an MLSys paper's prose and structure, building the measured-bottleneck opening, naming the mechanism instead of listing optimizations, writing evaluation…
Stage 3.5 of the mathematical modeling pipeline. Performs global quality review of all task outputs using an independent subagent with percent-based scoring.
Implement automated machine learning model performance monitoring, statistical data drift (KS-test, PSI, Wasserstein distance), concept drift detection, and prediction quality…
Independent model QA expert who audits ML and statistical models end-to-end - from documentation review and data reconstruction to replication, calibration testing, inter — from…
Validate neuronal dynamics implementations against analytic solutions, limiting cases, nullcline predictions, or known statistical identities, and add focused tests in the…
Use when you have a fitted linear model (lmFit object) from microarray, RNA-seq, qPCR, or proteomics data and need to test for differential expression across genes while…
Estrategia e implementacao de monetizacao para produtos digitais - Stripe, subscriptions, pricing experiments, freemium, upgrade flows, churn prevention, revenue optimization e…
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.
Track and analyze Monkeytype typing statistics with improvement tips. Use when user mentions "monkeytype", "typing stats", "typing speed", "WPM", "typing practice", "typing…
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 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 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 building the analytical model or operational mechanism at the core of a Manufacturing & Service Operations Management (M&SOM) manuscript — formulating the decision,…
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 you have raw metabolomics data files in one or more of the supported formats (.raw from Thermo instruments, .d directories from Agilent, or mzXML open-format exports) and…
Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, MiniMax, Kimi, GLM, or…
Use when you have raw metabolomics data in mzML or mzXML format and need to extract ion features, align them across samples, and produce a normalized feature table for downstream…
Use when after generating a q-value bedgraph track from ChIP-Seq pileup versus local lambda comparison, and you need to identify statistically significant narrow peaks with…
Knowledge base from the NASA Schedule Management Handbook (2024 edition, Revision 2). Use for program/project schedule management of aerospace and large engineering efforts: the…
Audit, revise, or draft manuscript statistical reporting for Nature / high-impact journal submissions.
Use to enforce NEJM's clinical statistical reporting — confidence intervals over bare P values, the pre-specified intention-to-treat primary analysis, multiplicity control for…
Use as the final preflight before submitting to NEJM — a complete clinical checklist across significance, registration, reporting guidelines, abstract, statistics, display items,…
Use when you have an untargeted metabolomics feature table with m/z values, retention times, intensity measurements, and p-values from statistical testing, but lack or wi — from…
Use when after executing a molecular networking workflow on GC-MS data that has been processed through auto-deconvolution, and a published reference network exists from a prior…