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clean-data-xls

Normalize text, numbers, and dates in spreadsheet data.

Updated May 9, 2026
Search Tags:#standardization#spreadsheet#excel#deduplication#data-cleaning#date-formatting#text-conversion
One-click install
npx skills add https://github.com/iTzFaisal/financial-services --skill clean-data-xls-itzfaisal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: clean-data-xls
Source: https://github.com/iTzFaisal/financial-services/tree/main/.opencode/skills/clean-data-xls
Command: npx skills add https://github.com/iTzFaisal/financial-services --skill clean-data-xls-itzfaisal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Clean up messy spreadsheet data—trim whitespace, fix inconsistent casing, convert numbers-stored-as-text, standardize dates, remove duplicates, and flag mixed-type columns to prep data for analysis.

Core Features & Use Cases

  • Normalize whitespace and casing across columns; convert numbers stored as text to numeric values; standardize dates to a consistent format.
  • Remove duplicates (exact and near-duplicates) and flag mixed-type columns to prevent analysis errors.
  • Use cases include preparing data for dashboards, reports, and ad-hoc analyses in Excel workbooks or CSV/XLSX files.

Quick Start

Provide a target worksheet range or let it run on the active sheet to clean and standardize data.

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 spreadsheet data in Excel for analysis?▼

To clean messy spreadsheet data, this Skill normalizes text, converts numbers stored as text, standardizes date formats, and removes duplicates. It applies transformations directly to Excel workbooks or CSV files to ensure consistent data quality for dashboards and reporting.

How do I fix numbers stored as text in Excel and standardize inconsistent dates?▼

Fixing numbers stored as text and standardizing inconsistent dates involves detecting mixed-type columns and applying transformations via formulas or Python-based tooling. This Skill proposes fixes and converts text values to numeric formats while aligning dates to a consistent format.

Can I remove exact and near-duplicates from a CSV file automatically?▼

Yes, you can remove exact and near-duplicates from a CSV file. The Skill implements a deterministic workflow that detects duplicate rows, proposes fixes, and applies transformations to clean the data for reliable analysis.

Does this data cleaning tool work with openpyxl for XLSX files?▼

Yes, this data cleaning tool works with XLSX files. It utilizes Python and openpyxl-based tooling to apply transformations, normalizing whitespace, casing, and mixed-type columns across Excel workbooks and CSV formats.

What is the best way to flag mixed-type columns before building a dashboard?▼

The best way to flag mixed-type columns is to run a deterministic detection workflow that identifies inconsistent data types within columns. This Skill detects these issues, proposes fixes, and applies transformations to prevent analysis errors in dashboards.

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