Design of Experiments skill for systematic optimization of nanomaterial synthesis and processing
Author custom amq-squad roles that are not in the built-in persona catalog, then wire them into a team.
In-depth Kaggle competition data analysis workflow. Use for exploratory data analysis (EDA), data preprocessing, feature engineering, statistical analysis, and comprehensive…
Decision-first data analysis with statistical rigor gates.
Expert-level data science, analytics, visualization, and statistical modeling — from science/data-science-research
Expert-level data science, analytics, visualization, and statistical modeling — from majiayu000/claude-skill-registry
Use when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
Use when planning or reporting the analysis for an American Educational Research Journal (AERJ) manuscript — multilevel/HLM and growth models, IRT/measurement, quasi-experimental…
Expert data analyst specializing in business intelligence, data visualization, and statistical analysis.
Expert data scientist specializing in statistical analysis, machine learning, and business insights. Masters exploratory data analysis, predictive modeling, and data stor — from…
Expert data scientist specializing in statistical analysis, machine learning, and business insights. Masters exploratory data analysis, predictive modeling, and data stor — from…
Architect and ship a complete multi-agent backend system on AgentField from a one-line user request. Use when the user asks to build, scaffold, design, or ship an agent system,…
AI Agent-driven Kaggle competition workflow. Learn from real competition experience: score stabilization patterns, submission troubleshooting, kernel workflows, GPU task…
Use when evaluating the model and analyzing results for an Agricultural Systems (AgSy) manuscript so it survives expert systems review — independent model evaluation (observed vs.
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts.
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts.
End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations…
Get personalized academic paper recommendations. Activate whenever the user asks for paper recommendations — explicit command (/aminer-dp) or natural language (e.g.
Use when running and reporting the statistical analysis for an Academy of Management Journal (AMJ) manuscript — measurement validity, common-method bias, the right estimator (HLM,…
Use when the research design and method are the bottleneck for an Academy of Management Journal (AMJ) manuscript — matching design (archival, survey, experiment, multi-method,…
Use when analyzing the material of an Accounting, Organizations and Society (AOS) manuscript — coding and interpreting qualitative field data, estimating experimental and survey…
Use when an Accounting, Organizations and Society (AOS) revise-and-resubmit arrives — planning revisions that may include recoding field data, new experimental conditions, or…
Use when executing and reporting the analysis for an American Political Science Review (APSR) manuscript so it survives expert, double-anonymous review — honest uncertainty,…
Expert knowledge for Azure Data Science Virtual Machines development including troubleshooting, decision making, architecture & design patterns, security, configuration,…
Use when executing and reporting the analysis for a British Journal of Political Science (BJPS) manuscript so it survives expert, double-blind review — honest uncertainty,…
Use when running and reporting the analysis for a Contemporary Accounting Research (CAR) manuscript — the right estimator for archival/capital-markets, experimental, or…
Use when the research design and identification are the bottleneck for a Contemporary Accounting Research (CAR) manuscript — choosing and defending an archival, experimental,…
Use when building the exhibits of a Contemporary Accounting Research (CAR) manuscript — descriptive/correlation/results tables for archival work, experimental cell-means and ANOVA…
Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic — from…
Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic — from…
Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic — from…
Use when starting technical work requiring structured approach - writing tests before code (TDD), planning data exploration (EDA), designing statistical analysis, clarifying…
Use when executing and reporting the analysis for a Communication Research (CR) manuscript so it survives expert, double-anonymized review — ANOVA/regression/SEM,…
Use when executing and reporting the analysis for a Conservation Biology manuscript so it survives expert, double-blind review — appropriate ecological/statistical models, honest…
Use when when deploying a multi-component research application (e.g., MAGMa's four subproject services) as containerized microservices that need to communicate…
Search the web using Brave Search API. Use for research, current events, finding information online, fact-checking, or when you need to look something up.
Use when running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation, uncertainty, robustness, and multi-method triangulation on…
Design or audit one daily reward, check-in, streak, calendar, mission, repair, comeback, or return-ritual system for apps and games, including time semantics, progression gates,…
Analyze datasets to extract insights, identify patterns, and generate reports. Use when exploring data, creating visualizations, or performing statistical analysis.
Turn raw data into decisions with statistical rigor, proper methodology, and awareness of analyti。Use when 需要数据分析、报表生成、统计洞察、数据可视化时使用。不适用于实时流数据处理。适用于独立开发者、企业团队和自动化工作流场景。
Data collection, analysis, and interpretation for scientific inquiry. Covers measurement and units, data recording and organization, descriptive and inferential statistics,…
SQL for data analysis with exploratory analysis, advanced aggregations, statistical functions, outlier detection, and business insights. 50+ real-world analytics queries.
Comprehensive data analysis expertise covering statistical analysis, data visualization, exploratory data analysis, hypothesis testing, machine learning, data cleaning, and data…
Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods.
Fact-checking and source verification workflow for research documents. Launches parallel fact-checkers, aggregates findings, applies corrections systematically.
Fact-checking and source verification workflow for research documents. Launches parallel fact-checkers, aggregates findings, applies corrections systematically.
Systematic data validation, error detection, cross-source reconciliation, and query correctness checking for analytical work.
Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and analytics stra — from…
Bundle of 50+ granular skills for Python Data Stack, SQL, Amplitude, and data engineering patterns.
Statistical analysis, ML, NLP, time series forecasting, network analysis for political intelligence data
Orchestrate data science analysis across the full project lifecycle. Use when the user needs to clean or prepare data, perform exploratory analysis, engineer features, run…
Documentation of available data science libraries (scipy, numpy, pandas, sklearn) and best practices for statistical analysis, regression modeling, and organizing analysi — from…
Documentation of available data science libraries (scipy, numpy, pandas, sklearn) and best practices for statistical analysis, regression modeling, and organizing analysi — from…
Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and analytics stra — from…
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.
Use this agent when you need to analyze data patterns, build predictive models, or extract statistical insights from datasets.
Statistical modeling and data analysis expert. A/B testing, causal inference, customer analytics (CLV, churn), anomaly detection, experiment tracking (MLflow/W&B), and data…
Data scientist senior. EDA, ML, deep learning, NLP, MLOps, experimentación, deployment.
Operate as a product data scientist who frames falsifiable hypotheses, analyzes experiments, and reports results without flattering the launch.
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.