reverse-month_skill

Overview

This skill converts dates from many human-readable formats into the standardized reverse month format (YYYY-MM). It extracts only the year and month components so dates are ready for monthly reporting, aggregation, or filtering. The implementation uses Python and flexible parsing to accept a wide variety of input styles.

How this skill works

The tool parses an input date string with a tolerant parser and normalizes the result to the ISO year-month representation (YYYY-MM). It accepts full dates, partial dates (like 'Oct 2025'), slash/dash-separated forms, and typical human formats, returning an error if parsing fails. Internally it relies on date parsing libraries to interpret the input and then formats the datetime to year-month only.

When to use it

• Preparing data for monthly aggregations or time-series grouping
• Standardizing month identifiers across mixed source formats
• Filtering or querying records by calendar month
• Generating billing, subscription, or reporting periods
• Converting user-entered dates to a consistent month key

Best practices

• Prefer supplying a full date (day-month-year) when available to avoid ambiguity
• Normalize input timezones or remove time components before parsing if timezone matters
• Validate parsing success and handle errors by logging the original string
• Use YYYY-MM output as a stable key in databases or filenames
• Document expected input locales where ambiguous numeric dates (e.g., 03/04/2025) may vary

Example use cases

• Transforming event timestamps into month keys for aggregation pipelines
• Converting user-entered dates in forms to YYYY-MM for storage
• Preparing monthly revenue reports by grouping transactions by YYYY-MM
• Filtering calendar datasets to a target month using standardized strings
• Creating filenames or directory structures that represent year-month slices