Simulation experimental design skill for efficient scenario analysis and optimization.
Orchestrate multi-simulation campaigns — generate parameter sweep configurations (grid, linspace, or Latin Hypercube sampling), initialize and track batch job campaigns, monitor…
Optimize construction site logistics including material delivery scheduling, crane positioning, storage area allocation, and traffic flow using operations research and simulation.
Esplora e interroga il SITUAS (Sistema Informativo Territoriale delle Unità Amministrative e Statistiche, ISTAT) tramite la CLI `opensituas`.
TRANSVERSAL SKILL - Manages session state throughout the entire workflow. Invoked at START, after each commit, after decisions, and at GIT (end).
Audit and safely repair cross-runtime Skill governance: canonical-source ownership, divergent or duplicate projections, exposure scopes and budgets, lifecycle drift, quarantine,…
Show skill usage statistics, charts, and suggestions for pruning unused skills. Use when the user asks "skill usage", "which skills do I use", "unused skills", "skill stats", or…
Generate custom Claude Code slash commands through intelligent 5-7 question flow. Creates powerful commands for business research, content analysis, healthcare compliance — from…
Check SuperLocalMemory system status, health, and statistics. Use when the user wants to know memory count, graph stats, patterns learned, database health, or system diagnostics.
A seasoned DBA interviewer who has diagnosed every slow query pattern in production. Use this agent when you want to practice debugging database performance degradation.
Use when choosing or analyzing sorting, heaps, priority queues, linear-time integer/distribution sorting, quicksort, selection, medians, quantiles, top-k, or order-statistic…
Implements sorting and searching algorithms — comparison sorts (quicksort/introsort, merge sort, heapsort, Timsort), non-comparison sorts (radix, counting, bucket), binary search…
Use when after loading and preprocessing a Cardinal MSImagingExperiment object (with normalized peaks and optional spatial segmentation results), and before conducting spatial…
Always invoke before testing a geographic pattern for clustering, hotspots, dependence, or explanatory regression, even when aggregation or ordinary OLS is proposed as routine.
Use when when you have a spatial molecular dataset (e.g., Visium, MERFISH) with categorical cell-type or feature annotations and want to test whether specific categories are…
Use when you have paired predicted and observed metabolite abundance vectors from a predictive model (e.
Use when you have paired in silico and experimental measurements from multiple biological samples (e.
Use when a task needs the judgment of a Special Education Teacher, Middle School — verifying whether an IEP accommodation is actually being implemented across a student's five or…
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…
Following what organisms do — behavior, metamorphosis, host-plant relationships, social dynamics, and the long-form ethograms that reveal how species actually live.
Use when you have raw lipidomic and metabolomic spectral data files from a Multi-ABLE barocycler-based concurrent multiomics experiment and need to normalize ion intensities,…
👻 | Unified planning entry point - researches, assesses complexity, routes to workflow - primary agent
Spiega slide di lezioni universitarie (PDF di corsi, dispense, handout, lecture notes) a livello didattico profondo, ricostruendo ogni passaggio con esempi numerici invece di…
Profile, clean, standardize, transform, fill, or deduplicate spreadsheet or delimited data into an authorized new output with traceable rules, before/after statistics, an audit…
Spreadsheet processing and analysis for CSV/Excel; trigger when users ask to merge/clean tabular data, run statistics, add/edit Excel formulas, apply formatting, generate charts,…
Diff two SQL Server execution plans (baseline vs regression) to identify what changed — join strategies, memory grants, operator topology, new warnings, and missing indexes.
Parse and analyze SQL Server SET STATISTICS IO, TIME ON output. Extracts per-table IO metrics and per-statement CPU/elapsed times, computes % logical read share, detects 22…
Analyze SQL Server wait statistics to identify why the server or a session is slow. Applies 40 checks (V1–V40) covering I/O, locks, parallelism, memory, CPU, TempDB, log I/O,…
Get a real-time stablecoin market overview from 500+ protocols and 20+ CEX: total market cap, yield-bearing stablecoin market cap, asset distribution (USDT/USDC/DAI share), chain…
Access reliable statistical data from the World Bank. Avoids hallucinated numbers by fetching direct time-series data from the official API.
Use when setting up the ATLAS StatAnalysis software release with asetup, choosing the right StatAnalysis branch for a given ROOT version or OS, running statistical analysis tools…
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and A — from…
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and A — from…
Statistical analysis for metabolomics data. Covers univariate testing, multivariate methods (PCA, PLS-DA), and biomarker discovery.
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and A — from…
Hypothesis testing, power analysis, ablation design, and multiple comparison corrections for ML experiment evaluation.
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and A — from…
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing.
Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes.
Perform statistical hypothesis testing, regression analysis, ANOVA, and t-tests with plain-English interpretations and visualizations.
Design statistically honest and uncertainty-aware visualizations. Use when the user needs help showing distributions, intervals, confidence, missingness, sampling effects — from…
Use when a task needs the judgment of a Statistical Assistant — designing a data-collection form for consistency, running double-entry verification and reconciling discrepancies,…
Computational tools and algorithms for statistical analysis. Covers simulation, resampling methods (bootstrap, permutation tests), Monte Carlo methods, random number generation,…
Use when selecting a statistical test with AI consultation, when assumptions need checking against the actual data, when an analysis plan or decision log must be written before…
Use when when you have prediction scores (softmax probabilities, uncertainties) from a trained deep learning model evaluated on a heterogeneous dataset and you need to determine…
Use when after computing aggregate statistics (mean, median, standard deviation, frequency distributions, similarity coefficients) over a large dataset of molecular fingerprints…
Use when you have ranked GCF-MF (Gene Cluster Family–Molecular Family) links using two or more independent scoring functions and a set of experimentally validated links.
Use when when you have peak area tables (unlabeled C12 and labeled C13) from LC-MS metabolomics with sample metadata indicating case and control groups, and you need to…
Use when you have computed raw or standardised correlation scores (or other link-ranking metrics) for all possible GCF-MF pairs in a dataset and want to verify that validated…
Use when after log-transformation and missing-value imputation of a metabolomics
Draw honest conclusions from samples using hypothesis tests, confidence intervals, and significance read correctly.
Evaluate Fermi-Dirac, Gauss-Fermi, and Blakemore statistical integrals for carrier density calculations in semiconductor simulations.
The thermodynamic and statistical mechanical basis of generative intelligence. Langevin dynamics, SDEs, and the physics of the forward/reverse noise processes.
Regression analysis, ANOVA, generalized linear models, Bayesian methods, and model selection. Covers the full modeling workflow from problem formulation through diagnostics --…
Use when asked to calculate statistical power, determine sample size, or plan experiments for hypothesis testing.
Use when when a statistical method offers a parameter to trade computational cost for precision (e.
Use when when you have leiden or louvain cluster assignments in single-cell data (stored in adata.obs) and need to identify cluster-specific marker genes.
Translates the key findings of a statistical report into plain, journalist-ready language — pulling out the numbers that matter, explaining what they mean, and flagging anything…
Use when when you have run the same mass spectrum through molecular formula assignment under different parameter settings (e.
Guide for annotating statistical significance (p-value asterisks) on comparison plots. Covers standard notation (ns, *, **, ***, ****), matplotlib bracket+asterisk implementation,…