Use when the exhibits are the bottleneck for a Review of Accounting Studies (RAST) manuscript — building self-contained accounting panel tables, event-study and equilibrium…
Use when targeting Review of Economics and Statistics (REStat) or deciding whether an applied econometrics manuscript fits this venue.
Use when after drift correction of LC-MS peak intensity data, when you need to identify metabolic features with excessive internal spread (within-group variability in QC samples)…
Invoke when comparing models or prompts and you want evidence, not a vibe check — choosing a model for a task (opus vs sonnet vs haiku; Claude vs Codex vs Gemini), A/B testing…
Use when performing statistical unfolding for an ATLAS cross-section measurement: building a response matrix from MC, applying Bayesian iterative unfolding (RooUnfoldBayes), SVD…
Sustained metric-improvement loop with atomic commits, auto-rollback, and experiment logging. Iterates with specialist agents, commits atomically, auto-rolls back on regression.
Use ASO Skills to run repeatable App Store keyword research, metadata optimization, competitor analysis, and growth planning from an agent session.
Use eCommerce-Skills to give compatible agents plain-text workflows for product research, listing optimization, review analysis, pricing, marketing, supply-chain checks, and…
Run the post-award research loop — provision tools, build the method, run experiments, and verify every number — then stop at gate G4 "accept results?".
Guide for designing Run resources in OptAIC. Use when creating PipelineRun, ExperimentRun, BacktestRun, PortfolioOptimizationRun, TrainingRun, InferenceRun, or MonitoringRun.
Calculate GDP-weighted mean of net exports as % of GDP using SUMPRODUCT in Excel, including all supporting statistics (min, max, median, percentiles).
Sage system operations. Sync status, version info, database statistics and maintenance.
Use when when you have loaded (un)targeted metabolite data into a Metaboprep object and need to exclude samples with excessive missing values before quality control or statistical…
Basic sample size estimator for clinical research planning. Computes per-group and total N for two-sample/paired t-tests, chi-square tests, and proportion comparisons, reporting…
Build college-algebra-floor, self-study tutorials that teach statistical formulas and derivations from the ground up — primers before use, a closure-audited glossary,…
Svensk offentlig statistik från SCB via PxWebApi v2. Använd ALLTID när någon frågar om svenska siffror, statistik, befolkning, KPI, inflation, arbetslöshet, löner, priser — from…
Svensk offentlig statistik från SCB via PxWebApi v2. Använd ALLTID när någon frågar om svenska siffror, statistik, befolkning, KPI, inflation, arbetslöshet, löner, priser — from…
Use to enforce Science's statistics and reproducibility reporting — n and replication, test choice and assumptions, effect sizes with uncertainty, multiple-comparison control,…
Scientific-methodology skills for the SciTeX ecosystem — publication-quality figures, statistics, experiment reproducibility.
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis — from…
Query NHGRI-EBI GWAS Catalog for SNP-trait associations. Search variants by rs ID, disease/trait, gene, retrieve p-values and summary statistics, for genetic epidemiology — from…
High-impact scientific manuscript preparation for journals like Nature, Blood, Cell. Use when writing abstracts, introductions, methods, results, discussions, or figure legends.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and infer — from…
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization pro — from…
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality re — from…
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figu — from…
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figu — from…
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality re — from…
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference.
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference.
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis — from…
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for — from…
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for — from…
Scientific method for validating claims with pre-registration, power analysis, statistical rigor, and Bayesian methods.
Geostatistical analysis with scikit-learn style API. Compute variograms, kriging interpolation, and spatial correlation analysis.
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality re — from…
Best practices for SciPy scientific computing, optimization, signal processing, and statistical analysis in Python
Publication-ready statistical testing — 23 tests, effect sizes, power analysis, auto test selection, and MCP tools for AI agents.
Use when after computing a scoring function over all possible genomic-metabolomic candidate pairs (e.g., all 2966 MIBiG-GNPS BGC-spectrum pairs), when you have a subset of known…
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults.
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults.
Statistical visualization on matplotlib with native pandas support. Auto aggregation, CIs, grouping for distributions (histplot, kdeplot), categorical (boxplot, violinplot),…
Statistical visualization on matplotlib + pandas. Distributions (histplot, kdeplot, violin, box), relational (scatter, line), categorical, regression, correlation heatmaps.
Find relevant math results, constructions, examples, counterexamples, and background references for a statement.
When the user wants to optimize their App Store listing for seasonal events, holidays, or trending moments — including keyword opportunities, metadata updates, screenshot theming,…
Detect signatures of natural selection using Fst, Tajima's D, iHS, XP-EHH, and other selection statistics.
Encodes a continuous improvement loop for goal-seeking agents: EVAL, ANALYZE, RESEARCH (hypothesis + evidence + counter-arguments), IMPROVE, RE-EVAL, DECIDE.
Bi-directional translator between verbose descriptions and established terminology (semantic anchors).
北师大版高中数学同步 Skill是面向课前预习、课后作业、同步巩固、单元复习、错题巩固、期中期末复习、高考复习的产品级 Hermes Skill，年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_math_bs_textbook_sync.run.
高中数学快速巩固 Skill是面向每日打卡、同步巩固的产品级 Hermes Skill，年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_math_quick_practice.run.
人教A版高中数学同步 Skill是面向课前预习、课后作业、同步巩固、单元复习、错题巩固、期中期末复习、高考复习的产品级 Hermes Skill，年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_math_rja_textbook_sync.run.
人教B版高中数学同步 Skill是面向课前预习、课后作业、同步巩固、单元复习、错题巩固、期中期末复习、高考复习的产品级 Hermes Skill，年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_math_rjb_textbook_sync.run.
Calculate sequence statistics (N50, length distribution, GC content, summary reports) using Biopython.
Calculate sequence statistics (N50, length distribution, GC content, summary reports) using Biopython.
\"Show status of connected MCP servers and debug session statistics. 顯連接MCP伺服器狀態及除錯統計。 Use when: check mcp status, list connected servers, mcp session stats, show server health,…
Generates comprehensive cluster statistics and visualizations for Seurat objects, including dimension reduction plots, gene expression visualizations, cluster quality metrics, and…
Manipulate numerical data, contingency tables, and statistical findings so that no individual or organization is identifiable in the results of the an
Use when designing or auditing ACM SIGMETRICS evaluations, covering theorem-plus-validation rigor, stating and testing modeling assumptions, analysis-vs-simulation agreement, real…