Fact-checking and source verification workflow for research documents. Launches parallel fact-checkers, aggregates findings, applies corrections systematically.
Pick the right way to represent a dataset so a reader gets the finding in three seconds — a catalog of 20+ chart and diagram forms with when-to-use and failure modes, plus the…
Read each new functional-genomics data-engine release as a forward signal of pre-validated drug targets.
Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating charts and maps, cleaning messy data, calculating statistics or…
Complete data model reference for the School Management System. Contains all 29 entities organized into 5 domain layers (Geography, Academic Structure, School Operations,…
Identifies unusual values, unexpected patterns, and potential stories hidden in a dataset by systematically checking for statistical outliers and contextual anomalies.
Design and troubleshoot robust data pipelines with comprehensive quality validation, error handling, and monitoring capabilities for bioinformatics and data processing workflows
Use when you have raw spectroscopic datasets from heterogeneous sources (multiple Zenodo repositories with different file formats and scales) that must be jointly normalized,…
Specialista di protezione dati italiana ed europea — analizza GDPR, D.Lgs. 196/2003 (Codice Privacy come modificato dal D.Lgs.
Use when processing spectral datasets from open mass spectra libraries (OMSLs) where structural identifiers and ionization metadata are incomplete or inconsistent.
Systematic data validation, error detection, cross-source reconciliation, and query correctness checking for analytical work.
Infrastructure and practices for reproducible computational research. Covers environment management, data versioning, code documentation, and sharing protocols that enable others…
Structured data research: search sources, extract structured data, archive raw sources, maintain canonical tracker pages, deduplicate.
Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition wit — from…
Data discovery and analysis specialist focused on extracting actionable insights from complex datasets, identifying patterns and anomalies, and transforming raw data into — from…
Data discovery and analysis specialist focused on extracting actionable insights from complex datasets, identifying patterns and anomalies, and transforming raw data into — from…
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.
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights. — from belokonm/claude-supercode-skills
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights. — from majiayu000/claude-skill-registry
Tracks every data access request, dataset agreement, data sharing arrangement, and data source dependency referenced in research email threads — what has been requested, what has…
Catálogo centralizado de fuentes de datos confiables para el pipeline de equity research. Consultar este skill antes de generar scripts para saber exactamente dónde buscar…
Acione este esquadrão para desafios de dados e crescimento — engenharia/análise de dados, BI, dashboards, KPIs e modelos de mensuração, CLV e segmentação, experimentação de growth…
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing.
Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels.
Use when you have a curated relational dataset (structure-organism pairs) and need to quantify how structures distribute across a categorical variable (e.g., organism prevalence).
Synthesize findings from multiple research sources into coherent insights. Use when combining data from different sub-agents or research threads.
Publication-quality visualizations for biomedical and genomics data. Use when creating volcano plots, heatmaps, UMAP plots, dot plots, survival curves, forest plots, or…
Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models,…
Search 78 public scientific, biomedical, materials science, and economic databases via REST APIs. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD), earth/environment ( — from…
Search 78 public scientific, biomedical, materials science, and economic databases via REST APIs. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD), earth/environment ( — from…
Use when when you have downloaded a curated structure-organism dataset (such as LOTUS) and need to verify the reported counts of unique entities (source databases, organi — from…
Retrieve, version, and publish scientific datasets with DataLad and git-annex, and capture computational provenance with datalad run, rerun, and containers-run.
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptor — from…
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptor — from…
Multi-source ML dataset discovery. Search HuggingFace Hub, OpenML, GitHub, and paper cross-references for datasets relevant to a research task.
Use when when you have downloaded a released version of a structured dataset (e.g., LOTUS from Zenodo) and need to confirm it matches the documented headline statistics before…
Use when you have mass spectrometry data arriving through heterogeneous input formats (Task ID from GNPS, Universal Spectrum Identifiers, or Feature-Based Molecular Networking…
Use when when you have partitioned public MS/MS files from MassIVE using the ReDU File Selector into one or more filtered groups (G1–G6) and need to verify that each group's file…
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Calculate medical date windows including gestational age, estimated delivery dates, and follow-up visit scheduling.
Use audited David Deutsch argument packets to explain named concepts or test whether his worldview adds leverage to a problem.
Conduct Czech and EU legal research through the Dawmain MCP connector (live queries into e-Sbírka, NS, NSS, Ústavní soud, obecné soudy, SDEU and EUR-Lex, plus the literature in…
Morning work briefing — "what does my day look like, in one scan?" Gathers today's calendar and emails needing attention (via connected Google MCP tools when available), recent…
A股行业投研工作流：全板块 Top N 涨幅标的计算、公告窗口检索（周/月）、市场情绪证据分级判断，并以 Agent Team 并行执行 + fresh-context 对抗验证。
Web search without an API key using DuckDuckGo Lite via web_fetch. Use as a fallback when web_search fails with missing_brave_api_key error, or whenever you need to search the web…
Use when when you have unknown MS/MS spectra with observed precursor m/z values and want to infer the molecular formula and adduct type (e.g., [M+H]+, [M+Na]+, [M+K]+) in a de…
Use when when you have high-resolution LC-MS/MS data for an unknown metabolite or small molecule, have computed or measured the molecular ion mass and fragmentation spectrum, and…
Build trading systems in the style of D.E. Shaw, the pioneering computational finance firm. Emphasizes systematic strategies, rigorous quantitative research, and world-class…