Detect performance regressions by comparing benchmarks across versions with latency, throughput, and statistical significance analysis
Use when after generating collision cross section predictions on a validation or test set using a trained graph neural network model, and you need to quantify prediction accuracy…
Build and operate the "Regression Sentinel Design for climate adaptation initiatives" capability for climate adaptation initiatives.
Catalog FDA and EMA regulatory precedents by therapeutic area, including expedited pathway statistics, approval basis, endpoint acceptance, advisory committee outcomes, and…
Build trading systems in the style of Renaissance Technologies, the most successful quantitative hedge fund in history.
Use when you have high-dimensional replicate experiment data (metabolomics, proteomics, or genomics) with multiple biological or technical replicates per sample, and you need to…
Optimize the research agent for rate limit handling, API call efficiency, web search integration fixes, and improved streaming UX with granular progress updates and source…
Use when exhibits are the bottleneck for a Research Policy (RP) manuscript — designing tables and figures (regression tables, patent/bibliometric maps, event-study plots, case…
Use when the causal-identification or measurement strategy is the bottleneck for a The Review of Economics and Statistics (REStat) manuscript — a DID / RD / IV / shift-share…
Use when a The Review of Economics and Statistics (REStat) decision letter (R&R or reject-and-resubmit) has arrived and the manuscript needs a response-to-referees letter and a…
Use when assembling the data-and-code replication package for a The Review of Economics and Statistics (REStat) manuscript under the journal's Data and Code Availability Policy —…
Use when the headline estimate of a The Review of Economics and Statistics (REStat) manuscript needs to survive specification, sample, measurement, and inference choices before…
Use when building or revising the exhibits of a The Review of Economics and Statistics (REStat) manuscript so the main result is legible in one table or figure in AEA/REStat house…
Use when deciding how much theory or structure a The Review of Economics and Statistics (REStat) manuscript should carry — right-sizing a model so it interprets or disciplines the…
Use when deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J.
Use when deciding which restat-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics…
Use when revising the prose of a The Review of Economics and Statistics (REStat) manuscript — especially the abstract and introduction — so the applied question and the estimate…
Assesses whether study results are trustworthy by auditing design integrity, sample structure, statistical handling, bias control, validation chain, and claim discipline.
7 seconds. That's how long a recruiter spends on your resume. CellCog makes every second count — #1 on DeepResearch Bench (Feb 2026) to research your target role, ATS…
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…