About this skill

Problem to Solve

University volunteer service ledgers are often stored in Excel or CSV: one row per activity, with fields such as date, college/organization, and activity description. Manually splitting these rows by college can produce missed rows, inconsistent grouping, and uneven formatting. This skill targets that repetitive cleanup task by collecting all records for one college or organization into a separate file, which is easier to print, report, or hand off.

How the Skill Works

Read: pulls activity records from CSV or Excel, using the expected columns P1 date, P2 college/organization, and P3 activity description.
Group: aggregates records by the P2 value, preserving the original entries without making extra business judgments.
Output: creates one .txt file per group, containing all activity entries for that college or organization, suitable as a simple ledger or reporting draft.
Runtime paths: the material mentions Python and PowerShell; the PowerShell path requires the ImportExcel module.

Boundaries

This skill is best for ledgers with a stable, simple structure. It is not intended for complex cleansing, approval workflows, cross-table joins, or chart/report generation. If the date column contains Excel serial numbers, interval text, blanks, or inconsistent short college names, the grouping field should be checked first. The output is a .txt summary, not a formal statistical standard.

Screenshots

Use Cases

A college student affairs team receives a CSV volunteer ledger and needs one TXT summary per college.
A student organization stores volunteer activities in Excel and needs separate output files by the P2 college or organization column.
An admin receives a table with P1 date, P2 college, and P3 description, and needs records split for each college.
A volunteer coordinator consolidates activity entries across colleges and wants to reduce missed rows or incorrect manual grouping.

Best For

Student affairs staff maintaining university volunteer ledgers who need Excel/CSV records split into TXT files by college.
Volunteer coordination leads who need activity records grouped by organization and output as per-organization summaries.
Operations staff maintaining tables with P1 date, P2 college, and P3 description who need batch grouped file output.
Automation operators using Python or PowerShell to process structured spreadsheets and split volunteer activity ledgers reliably.