Parses diverse date strings into ISO-8601 format using Python scripts.
npx skills add https://github.com/christopheryeo/claude-skills --skill reverse-date
Please help me install this Agent Skill. Skill: reverse-date Source: https://github.com/christopheryeo/claude-skills/tree/main/reverse-date Command: npx skills add https://github.com/christopheryeo/claude-skills --skill reverse-date
This Skill converts a wide range of human-friendly date formats into a consistent ISO date format (YYYY-MM-DD), enabling reliable data processing and archival.
Run the convert_date.py script to convert a sample date: python scripts/convert_date.py "21 Oct 2025"
High-intent search queries and answers about installing and using this skill.
To convert dates to ISO-8601 for data normalization, this Skill parses diverse human-friendly string inputs like '21 Oct 2025' or '10/21/2025' and outputs a standardized YYYY-MM-DD format. It uses python-dateutil to handle flexible parsing across your data pipelines.
Python-dateutil supports converting numerous input formats to ISO dates, handling variations such as 'October 21, 2025', '21/10/2025', and '2025-10-21'. This broad parsing capability ensures reliable date normalization from emails, CSV exports, or user inputs.
You can parse and localize ambiguous date strings by running the convert_date.py CLI script with your date string as an argument. The script leverages python-dateutil for parsing and pytz for timezone localization before formatting the output to ISO-8601.
Yes, you need both pytz and python-dateutil installed to standardize dates to ISO format using this Skill. These Python packages provide the underlying parsing logic and timezone localization required by the convert_date.py script.
Normalizing date strings to ISO-8601 before loading into downstream analytics systems ensures consistent data processing and archival. Converting heterogeneous formats like '21 Oct 2025' into a standardized YYYY-MM-DD structure prevents parsing errors in logs and data pipelines.
Yes, you can use this date conversion script for CSV exports and email logs. It is specifically designed to normalize inconsistent human-friendly date formats found in these sources into a reliable ISO-8601 output for downstream systems.
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