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Export datasets to multiple formats — CSV (configurable delimiter, encoding, quoting), JSON (records/nested/lines), Parquet (compressed), and Excel (.xlsx with formatting). Supports batch export and ZIP packaging.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
Validate tabular data against configurable business rules — range checks, cross-column constraints, referential integrity against lookup tables, and temporal consistency.
Load and parse CSV files into structured data frames with configurable encoding, delimiter, and date parsing options.
Export pandas DataFrames or processed datasets to well-formatted CSV files with configurable encoding, delimiter, quoting, and column ordering.
Aggregate tabular data by one or more dimensions with configurable metrics — sum, mean, count, min, max, median. Supports multi-level grouping and pivot table generation.
Comprehensive data cleaning toolkit — handles missing values, duplicate removal, type coercion, whitespace trimming, and outlier detection in a single pass over the dataset.
Identify and remove duplicate records from tabular datasets using exact-match, fuzzy-match, or composite-key-based deduplication strategies.
基于 SOC 职业分类
| name | data-export |
| description | Export datasets to multiple formats — CSV (configurable delimiter, encoding, quoting), JSON (records/nested/lines), Parquet (compressed), and Excel (.xlsx with formatting). Supports batch export and ZIP packaging. |
| version | 1.0.0 |
Versatile data export tool that writes datasets to one or multiple file formats in a single invocation. Supports CSV (with fine-grained formatting control), JSON (multiple orientations), Parquet (with compression), and Excel (.xlsx with optional formatting). Handles batch export of multiple datasets and can package outputs into a ZIP archive.
Merges functionality from: csv_export_writer, multi_format_exporter.
--input / -i: Path(s) to input data file(s) (required)--output / -o: Output file path or directory (required)--formats / -f: Comma-separated formats: csv,json,parquet,excel (default: csv)--base-name: Base filename for multi-format output--delimiter / -d: CSV delimiter (default: ,)--encoding / -e: CSV encoding (default: utf-8-sig)--quoting: CSV quoting: minimal, all, nonnumeric, none--columns: Column selection and ordering (comma-separated)--float-format: Float format string (e.g., %.2f)--na-rep: Missing value representation (default: empty)--json-orient: JSON orientation: records, columns, split--json-indent: JSON indentation (default: 2)--parquet-compression: snappy, gzip, zstd (default: snappy)--zip: Package all outputs into ZIP--no-header: Omit CSV header row--no-index: Omit row index (default: true)export_manifest.json: List of exported files with sizes and checksumsexport_bundle.zip containing all outputspython3 ./skills/data_export/export.py -i <input> -o <output_dir> -f csv,jsonpandas, pyarrow, openpyxl