Convert diverse date inputs to canonical YYYY-MM format using Python.
npx skills add https://github.com/christopheryeo/claude-skills --skill reverse-month
Please help me install this Agent Skill. Skill: reverse-month Source: https://github.com/christopheryeo/claude-skills/tree/main/reverse-month Command: npx skills add https://github.com/christopheryeo/claude-skills --skill reverse-month
This Skill converts a wide range of date formats into a standardized year-month representation (YYYY-MM), enabling consistent monthly analysis and reporting.
python scripts/convert_month.py "21 Oct 2025"
High-intent search queries and answers about installing and using this skill.
To convert diverse date formats to a standardized YYYY-MM value, you can use a Python parser that accepts inputs like "21 Oct 2025" or "October 2025" and outputs a uniform year-month representation for consistent monthly reporting.
The best way to parse multiple date string formats into a uniform year-month value is using the Python dateutil parser, which automatically detects diverse input formats and emits a canonical YYYY-MM value for calendar-based filtering.
Yes, the dateutil parser works with varied inputs like "2025-10-21" and "October 2025" for monthly reporting, reliably extracting the year and month to harmonize all dates to YYYY-MM for dataset aggregation.
To extract year-month from a specific date string, run the Python script by passing your date as an argument, such as `python scripts/convert_month.py "21 Oct 2025"`, which processes the input and returns the YYYY-MM format.
Yes, you can use this YYYY-MM conversion approach for calendar-based filtering across datasets, as it harmonizes various date column entries into a consistent format required for accurate time-series grouping and monthly aggregation.
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