Use when your input is a normalized, centered gene expression matrix with many genes (e.g., 12,000+) and you need to validate whether reducing to a smaller number of principal…
Professional paper research with papercli. Multi-pass search, PDF download and reading, math-aware synthesis, and a detailed referenced markdown findings report.
Mathematical foundations of uncertainty and random phenomena. Covers sample spaces, events, axioms, conditional probability, Bayes' theorem, independence, random variables,…
Profiles a dataset to surface summary statistics, distributions, missing-value matrix, correlations, outliers, and data-quality issues with severity ratings.
Track and report Claude Code skill usage statistics. Use this whenever the user asks about skill usage, skill stats, skill reports, which skills are used most or least, wants to…
Return memory statistics snapshot from UnityEngine.Profiling.Profiler — reserved, allocated, mono heap, graphics, etc. (in MB).
Ranks and analyzes statement fingerprints using aggregated SQL statistics from crdb_internal.statement_statistics to identify slow, resource-intensive, or error-prone query…
Analyzes transaction fingerprints using aggregated statistics from crdb_internal.transaction_statistics to identify high-retry transactions, contention patterns, and commit…
Estimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops
Structured methodology for constructing and verifying mathematical proofs in statistical research
Run statistically sound comparisons on eval results so prompt and model changes are judged by confidence bounds, not bar-chart vibes.
Use when reading, writing, or validating binned and/or unbinned statistical models in the HS3 (HEP Statistics Serialization Standard) JSON format: converting between HistFactory…
Deep web research and HTML report generation. When GLM needs to conduct systematic information gathering and analysis for: (1) Exploring open-ended questions through multi-step…
Use when you have a feature intensity matrix (peak vector) and a corresponding set of QC sample indices from a multi-batch LC/GC-MS experiment, and you need to establish…
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage.
Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.
Use when you have a peak table matrix with NA values that need to be imputed using cluster statistics, or when a GCIMSDataset object requires filtering by retention time (0–1100…
Use when after installing R or modifying an R environment via conda, package managers, or container images; before running any pipeline step that depends on R packages for…
Use when after training a customized R statistical or machine learning model on annotated training data, you need to persist the trained model object for reuse in downstream…
Use when beginning an LC-MS data analysis pipeline and you need to rapidly inspect instrument metadata, acquisition parameters, or scan statistics from proprietary Thermo .raw…
Audit a rehabilitation recovery tracking system -- evaluate standardized outcome instruments (FIM, Barthel Index, SF-36, DASH, LEFS, PROMIS), functional assessment scoring…
Pulls active listings, comparable sales, market statistics, and property estimates from Redfin via web research.
Anchors predictions in historical reality by identifying a class of similar past events and using their statistical frequency as a baseline (outside view) before analyzing…
Use when starting a forecast to establish a statistical baseline (base rate) before analyzing specifics.
Track and analyze regression statistics, trends, hotspots, and health indicators across test suites
Use when when you have trained a regression model on experimental retention times or similar continuous molecular property predictions and need to quantify its generalization…
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 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…
Assesses whether study results are trustworthy by auditing design integrity, sample structure, statistical handling, bias control, validation chain, and claim discipline.
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 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).
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.
High-impact scientific manuscript preparation for journals like Nature, Blood, Cell. Use when writing abstracts, introductions, methods, results, discussions, or figure legends.
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference.
Scientific method for validating claims with pre-registration, power analysis, statistical rigor, and Bayesian methods.
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,…