Total 50,522 skills, Data Processing has 2561 skills
Showing 12 of 2561 skills
Analyze China's macroeconomic data, PBOC monetary policy, fiscal policy, and their impact on A-share and Hong Kong stock markets. Track GDP, CPI, PPI, PMI, social financing, and interpret policy signals. Apply this when users inquire about China's macroeconomy, PBOC policies, the impact of economic data on markets, or need to understand policy implications for investment.
Automatic CSV Data Analysis and Insight Generation Tool
Use when designing dashboards, reports, and narratives for GTM stakeholders.
Analyze CSV files, generate summary statistics, and create visualizations using Python and pandas. Use when the user uploads, attaches, or references a CSV file, asks to summarize or analyze tabular data, requests insights from CSV data, or wants to understand data structure and quality.
Architect and co-design futureproof persistence systems built on open data principles. Use when designing data layers, choosing storage formats, structuring knowledge bases, building file-system-as-database architectures, or evaluating existing systems for portability and longevity. Use when user says "design my data model", "how should I store this", "is my data portable", "audit my persistence layer", "plan a migration", or asks about file-based databases, Markdown schemas, or Obsidian-compatible data formats. Do NOT use for general coding tasks, database query optimization, or SQL schema design.
Convert between CSV, JSON, and YAML formats.
This skill should be used when the user needs to visualize BAM alignment files in IGV (Integrative Genomics Viewer). Triggers include requests to generate IGV screenshots, visualize genomic regions with multiple BAM tracks, or create batch visualizations for WGS analysis results.
Installs 425 bioinformatics skills covering sequence analysis, RNA-seq, single-cell, variant calling, metagenomics, structural biology, and 56 more categories. Use when setting up bioinformatics capabilities or when a bioinformatics task requires specialized skills not yet installed.
Best-practice kit for BI dashboard layout, storytelling, and adoption.
Patterns and best practices for using Lakebase Autoscaling (next-gen managed PostgreSQL) with autoscaling, branching, scale-to-zero, and instant restore.
Use when "Dask", "parallel computing", "distributed computing", "larger than memory", or asking about "parallel pandas", "parallel numpy", "out-of-core", "multi-file processing", "cluster computing", "lazy evaluation dataframe"
Guidance for data resharding tasks that involve reorganizing files across directory structures with constraints on file sizes and directory contents. This skill applies when redistributing datasets, splitting large files, or reorganizing data into shards while maintaining constraints like maximum files per directory or maximum file sizes. Use when tasks involve resharding, data partitioning, or directory-constrained file reorganization.