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Math Stats (Page 8 of 10)

569 Claude Code skills in the Math Stats sub-category of Science & Research.

569 skills · updated 2026-06-08 · showing 421–480 of 569 by quality score

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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…
Track and analyze regression statistics, trends, hotspots, and health indicators across test suites
Detect performance regressions by comparing benchmarks across versions with latency, throughput, and statistical significance analysis
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.
Sustained metric-improvement loop with atomic commits, auto-rollback, and experiment logging. Iterates with specialist agents, commits atomically, auto-rolls back on regression.
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…
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.
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.
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.
When the user wants to optimize their App Store listing for seasonal events, holidays, or trending moments — including keyword opportunities, metadata updates, screenshot theming,…
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.
\"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,…
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…
Esplora e interroga il SITUAS (Sistema Informativo Territoriale delle Unità Amministrative e Statistiche, ISTAT) tramite la CLI `opensituas`.
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.
Use when choosing or analyzing sorting, heaps, priority queues, linear-time integer/distribution sorting, quicksort, selection, medians, quantiles, top-k, or order-statistic…
Following what organisms do — behavior, metamorphosis, host-plant relationships, social dynamics, and the long-form ethograms that reveal how species actually live.
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…
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…
Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes.
Computational tools and algorithms for statistical analysis. Covers simulation, resampling methods (bootstrap, permutation tests), Monte Carlo methods, random number generation,…
Regression analysis, ANOVA, generalized linear models, Bayesian methods, and model selection. Covers the full modeling workflow from problem formulation through diagnostics --…
Guide for annotating statistical significance (p-value asterisks) on comparison plots. Covers standard notation (ns, *, **, ***, ****), matplotlib bracket+asterisk implementation,…
Statistical Significance Calculator - Auto-activating skill for Data Analytics. Triggers on: statistical significance calculator, statistical significance calculator Part of the…
10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling.
Statistics, probability, linear algebra, and mathematical foundations for data science
Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods.
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference.
Python statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA, SARIMAX, VAR), with rigorous inference, diagnostics, and hypothesis…
Designs statistical arbitrage pairs with cointegration analysis, spread dynamics, and entry/exit signal calibration.
Evaluate survey data pipelines and research methodology. Analyzes response bias detection (speeders, straight-liners, bots), statistical significance testing (t-test, chi-square,…
Design and execute insect population surveys covering survey design, sampling methods, field execution, specimen identification, diversity index calculation including…
Kaplan-Meier survival analysis tool for clinical and biological research. Generates publication-ready survival curves with statistical tests.
Använd denna färdighet när användaren frågar om svensk statistik, svenska befolkningsdata, ekonomisk data för Sverige, svensk arbetsmarknad, svensk miljöstatistik,…
Använd denna färdighet när användaren frågar om Trafikanalys, transportstatistik, fordon i trafik, bilregistreringar, nyregistreringar, fordonskilometer, järnvägstransport,…
textstat is a Python package that calculates readability statistics for text content, including Flesch Reading Ease, Gunning Fog Index, SMOG Index, Coleman-Liau Index, and…
Abductive reasoning about causes. Takes a phenomenon, separates observations from interpretations, then spawns diagnosticians applying different reasoning lenses (technical,…
Analyzes time-series data for patterns, trends, seasonality, and anomalies, with forecasting using statistical and machine learning methods.
Fast and accurate code statistics tool written in Rust. Counts lines of code, comments, and blanks across 200+ languages, with output in JSON, YAML, or CBOR for programmatic…
Identify and prioritize causal variants at GWAS loci using statistical fine-mapping and locus-to-gene predictions.
Compare GWAS studies, perform meta-analyses, and assess replication across cohorts. Integrates NHGRI-EBI GWAS Catalog and Open Targets Genetics to compare study designs, effect…
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