skills.rest
r9412460971-cloud
r9412460971-cloudCOMMUNITY
Explore all skills by this author →
GitHub

clean-data-xls

Clean messy Excel and .xlsx spreadsheet data with formulas or openpyxl.

31|4|Updated Jun 13, 2026
Search Tags:#data-cleaning#data-normalization#data-standardization#duplicate-removal#spreadsheet-cleanup#excel-formatting#xlsx-prep
One-click install
npx skills add https://github.com/r9412460971-cloud/OPC-skill --skill clean-data-xls-r9412460971-cloud
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: clean-data-xls
Source: https://github.com/r9412460971-cloud/OPC-skill/tree/main/skills/clean-data-xls
Command: npx skills add https://github.com/r9412460971-cloud/OPC-skill --skill clean-data-xls-r9412460971-cloud

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Messy spreadsheet data with inconsistent formatting, extra whitespace, duplicate rows, and mixed data types creates unnecessary manual work and introduces errors that compromise downstream analysis accuracy.

Core Features & Use Cases

  • Multi-Issue Detection: Automatically identifies common data problems including leading/trailing whitespace, inconsistent categorical casing, numbers stored as text, non-standard date formats, exact and near-duplicate rows, blank cells in populated columns, mixed-type columns, encoding errors, and Excel error values like #REF! and #N/A.
  • Transparent Cleaning: Prefers formula-based fixes in helper columns for Excel workflows to keep transformations auditable, and supports full computed cleaning for standalone .xlsx files.
  • Use Case: For a sales dataset with messy customer name entries, inconsistent date formats, and revenue numbers stored as text, this skill automates all cleanup steps to produce analysis-ready data in minutes.

Quick Start

Use the clean-data-xls skill to clean up the messy sales data in the active Excel worksheet.

Frequently Asked Questions about clean-data-xls

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I clean messy Excel data with inconsistent formatting and numbers stored as text?▼

To clean messy Excel data, this skill fixes whitespace, inconsistent casing, numbers stored as text, and non-standard dates using formula-based helper columns or computed values to ensure your spreadsheet is analysis-ready.

What is the best way to remove duplicate rows and fix encoding errors in an xlsx file?▼

The best way to remove duplicate rows and fix encoding errors in an xlsx file is using this skill's standalone Python openpyxl processing, which performs full computed cleaning to repair issues that formulas cannot resolve.

Does spreadsheet cleanup work with Office JS for auditable transformations?▼

Yes, spreadsheet cleanup works with Office JS by applying formula-based fixes in helper columns, keeping your data transformations auditable and transparent for downstream financial or operational analysis.

Can I standardize non-standard date formats and fix Excel error values like #REF! automatically?▼

Yes, you can automatically standardize non-standard date formats and fix Excel error values like #REF! and #N/A, as the skill detects and resolves these multi-issue formatting problems during the pre-analysis data preparation workflow.

What are the limitations of using formulas for data normalization in Excel?▼

The limitation of using formulas for data normalization is that they cannot resolve issues like encoding repair; for these constraints, the skill switches to computed value cleaning via Python openpyxl for standalone xlsx files.

How do I prepare a spreadsheet for analysis when categorical casing is inconsistent?▼

To prepare a spreadsheet for analysis with inconsistent categorical casing, this skill detects and standardizes the formatting automatically, alongside fixing whitespace and mixed data types, to produce analysis-ready data in minutes.

Related Skills

Explore More Data & Analytics Skills→
pascallammerspascallammers
1

document-processing-xlsx

Creates, parses, and manipulates Excel spreadsheets (.xlsx, .xls) using SheetJS.

Community
Intermediate
VoDaiLoczVoDaiLocz
24

xlsx

Create, edit, and analyze Excel files using openpyxl and pandas.

Community
Advanced
Timmy6942025Timmy6942025
3

3-statement-model

Automate 3-statement financial model completion in Office JS or Python/openpyxl.

Community
Advanced
alexjcmalexjcm

xlsx

Clean, transform, and standardize spreadsheet data across XLSX, CSV, and TSV inputs.

Community
Intermediate