القائمة
Export pandas DataFrames or processed datasets to well-formatted CSV files with configurable encoding, delimiter, quoting, and column ordering.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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.
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.
Universal data ingestion service that loads data from CSV, Excel, JSON, and Parquet sources into a unified DataFrame format with automatic format detection.
| name | csv-export-writer |
| description | Export pandas DataFrames or processed datasets to well-formatted CSV files with configurable encoding, delimiter, quoting, and column ordering. |
| version | 0.2.0 |
Writes tabular data (pandas DataFrames) to CSV files with fine-grained control over output formatting. Supports configurable delimiter, quoting style, encoding, column ordering, header customization, and optional row-number indexing. Handles special characters and Unicode content correctly.
--input / -i: Path to input data file (Parquet, CSV, or Excel) (required)--output / -o: Output CSV file path (required)--delimiter / -d: Output delimiter (default: ,)--encoding / -e: Output encoding (default: utf-8-sig for Excel compatibility)--quoting: Quoting style: minimal, all, nonnumeric, none (default: minimal)--columns: Columns to include and their order (comma-separated; default: all)--no-header: Omit header row--no-index: Omit row index (default: true)--float-format: Format string for float columns (e.g., %.2f)--na-rep: String representation for missing values (default: empty)python3 ./skills/csv_export_writer/export.py -i <input> -o <output>pandas