Total 50,394 skills, Data Processing has 2557 skills
Showing 12 of 2557 skills
Pragmatic qualitative analysis for interview data in sociology research. Guides you through systematic coding, interpretation, and synthesis with quality checkpoints. Supports theory-informed (Track A) or data-first (Track B) approaches.
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Analyze cryptocurrency projects with tokenomics, on-chain metrics, and market analysis. Generate comprehensive crypto research reports.
Build Discounted Cash Flow (DCF) valuation models. Calculate intrinsic value with customizable assumptions. Generate professional valuation reports.
Query, browse, and analyze Spanish legislation stored as Markdown files with full Git history in the legalize-es repository.
Amazon Movers & Shakers data acquisition tool. This skill is used when users need to find hot products with recently soaring sales on Amazon, discover bestseller trends, and obtain the soaring list product list. It supports filtering by category, outputs data such as basic product information, price, ranking trend, etc., providing original market data for Temu product selection.
R statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in R for academic papers.
Execute ES|QL (Elasticsearch Query Language) queries, use when the user wants to query Elasticsearch data, analyze logs, aggregate metrics, explore data, or create charts and dashboards from ES|QL results.
Query and retrieve protein sequences, annotations, and functional data from UniProt. Supports text search, ID mapping between databases, batch downloads, and access to Swiss-Prot (reviewed) and TrEMBL (predicted) entries.
Query and retrieve protein/nucleic acid structures from RCSB PDB. Use when you need to search the PDB database for structures or metadata. Supports text, sequence, and structure-based searches, coordinate downloads, and metadata retrieval for structural biology workflows.
Query the ChEMBL database for bioactive compounds, drug targets, and bioactivity data. Use this skill when searching for small molecules, finding inhibitors for protein targets, or analyzing drug mechanisms of action.
Use this skill when performing exploratory data analysis, statistical testing, data visualization, or building predictive models. Triggers on EDA, pandas, matplotlib, seaborn, hypothesis testing, A/B test analysis, correlation, regression, feature engineering, and any task requiring data analysis or statistical inference.