Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
Browse data & analytics skills
Showing 8,929–8,952 of 13,073 skills
Adapt scientific abstracts to conference-specific word limits, section rules, and formatting constraints; use when reshaping an existing abstract for submission.
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). ...
Use when formatting references for journal submission, converting between citation styles (APA, MLA, Vancouver, Chicago), generating bibliographies for manuscripts, or ensuring consistent reference formatting. Automatically formats citations and bibliographies in 1000+ academi...
Use blind-review-sanitizer for academic writing workflows that need structured anonymization, explicit assumptions, and clear output boundaries for double-blind submission.
Use biotech-pitch-deck-narrative for academic writing workflows that need structured investor-facing storytelling, explicit assumptions, and clear output boundaries.
Generates structured biomedical outlines for review articles, discussion sections, and thesis proposals. Use when a user provides biomedical keywords, results/discussion text, or a proposal title plus background and needs a directly usable academic writing scaffold.
Generate structured SOAP notes from clinical narratives, transcripts, or existing notes; use when the user needs de-identified clinical documentation organized into Subjective, Objective, Assessment, and Plan sections, with clear assumptions and review points.
Use when determining author order on research manuscripts, assigning CRediT contributor roles for transparency, documenting individual contributions to collaborative projects, or resolving authorship disputes in multi-institutional research. Generates fair and transparent auth...
Use anki-card-creator for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries for study-card generation.
Generate interactive anatomy quizzes for medical education with multiple.
Generates CIOMS I-compliant ICSR narratives from adverse event case data for FDA and EMA regulatory submission. Includes temporal analysis, MedDRA coding, causality assessment using WHO-UMC or Naranjo criteria, and multi-format output.
Generates submission-ready Elsevier/SCI Highlights from manuscript text or extracted PDF/DOCX/TXT content. Use when a user needs 3-5 concise, evidence-grounded highlight bullets for a research paper, review, meta-analysis, case report, or bioinformatics manuscript.
Refines long medical academic texts into SCI-style unstructured Chinese and English abstracts; use when you need to condense drafts/reports/summaries into bilingual abstracts and generate Summary_Report.md.
Systematically retrieve, deduplicate, classify, and relevance-audit publicly available omics datasets for a user-specified disease, phenotype, gene, or biological process. Covers all major omics types (transcriptomics, proteomics, metabolomics, epigenomics, genomics, single-cell, spatial, lipidomics, multi-omics) across the broadest set of public repositories (GEO, SRA, ArrayExpress, PRIDE, OmicsDI, CELLxGENE, GDC/TCGA, ENCODE, and 20+ more). Use when the user asks to find, survey, catalog, o...
Run differential expression analysis on bulk RNA-seq count data with DESeq2 (R). Covers DESeqDataSet construction from a count matrix, tximport (Salmon/Kallisto), featureCounts, or SummarizedExperiment; pre-filtering; design formulas (simple, batch, paired, interaction, multi-factor, LRT); result extraction by coefficient or contrast; log-fold-change shrinkage (apeglm/ashr); VST/rlog transformations; and exporting significant genes. Use when the user has RNA-seq counts and wants differential ...
Working with Excel files programmatically.
World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled e...
A modular super-skill combining developer and web capabilities. Use when the user needs Python execution, package management, git operations, URL fetching, or API interactions. Triggers include requests to run code, install packages, check git status, commit changes, fetch web content, or call APIs. This skill provides a unified workflow for development and web automation tasks.
MiniMax spreadsheet production system. Engage for any task that involves tabular data, numeric analysis, or spreadsheet generation. Supports XLSX/XLSM/CSV through Python 3 (openpyxl + pandas) for workbook construction, formula recalculation via recalc.py (LibreOffice headless), and the MiniMaxXlsx CLI (C#/.NET) for structural validation, formula auditing, and pivot table synthesis.
Search and analyze lost bitcoins - find old inactive wallets, analyze dormant addresses, track ancient coins and research forgotten wealth on the Bitcoin blockchain.
v0.4.16 - Trade prediction markets (Polymarket, Kalshi) - positions, orders, risk management, Kelly sizing, wallet analytics, Monte Carlo, arbitrage, quantitative analytics, AFML (bars, labeling, fractional differentiation, HRP, denoising), multi-strategy orchestration, alpha research, tier-gated features, and market discovery.
Activate when the user asks a question that requires judgment, choice, or decision-making. This skill helps provide structured decision support by analyzing from both AI perspective and user's perspective, with confidence levels and confidence ratings to help users assess the certainty of conclusions.
Use this skill when users need to search for datasets, download data files, or explore data repositories. Triggers include: requests to \"find datasets\", \"search for data\", \"download dataset from Kaggle\", \"get data from Hugging Face\", \"find ML datasets\", or mentions of data repositories like Kaggle, UCI ML Repository, Data.gov, or Hugging Face. Also use for previewing dataset statistics, generating data cards, or discovering datasets for machine learning projects. Requires OpenClawCL...
Analyze data evolution patterns in construction organizations. Assess digital maturity and data strategy for construction companies