Agent skill · Data & Analytics

excel-data-analyzer

Analyze messy and unstructured Excel files to identify data quality issues, detect format inconsistencies, find missing values, and generate comprehensive analysis reports. Use when Claude needs to work with Excel files (.xlsx, .xls) for data quality assessment, structure analysis, or when users request data auditing, cleaning recommendations, or statistical summaries of spreadsheet data.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill excel-data-analyzer-mineru98-skills-store-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/analysis/excel-data-analyzer-mineru98-skills-store-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Excel Data Analyzer ## Overview Analyze Excel files to identify data structure, quality issues, format inconsistencies, and statistical patterns. Generate comprehensive markdown reports with actionable insights for data cleaning and improvement. ## Quick Start Analyze any Excel file with a single command: ```bash cd /path/to/skill/scripts bun install # First time only bun run analyze_excel.ts /path/to/data.xlsx ``` Output: Markdown report (`data_analysis.md`) with complete analysis. ## Core Capabilities ### 1. Data Structure Detection Automatically identifies: - Column names and data types (integer, float, string, date, email, boolean, mixed) - Row and column counts per sheet - Distinct value counts - Sample values for quick inspection ### 2. Data Quality Analysis Detects quality issues: - **Missing values:** Percentage and count of nulls per column - **High null columns:** Flags columns with >50% missing data - **Mixed data types:** Identifies columns with inconsistent types - **Format issues:** Detects leading/trailing whitespace, inconsistent casing, numeric strings ### 3. Statistical Summaries Generates statistics for numeric columns: - Min, max, mean, median, standard deviat

What's inside
Steps it walks through
  1. Overview
  2. Quick Start
  3. Core Capabilities
  4. 1. Data Structure Detection
  5. 2. Data Quality Analysis
  6. 3. Statistical Summaries
  7. 4. Quality Scoring
  8. 5. Multi-Sheet Support
  9. Usage
  10. Basic Analysis
  11. Custom Output Path
  12. First-Time Setup
  13. Workflow
  14. Report Structure
Ships with 1 file
  • metadata.json
Commands it runs
cd /path/to/skill/scripts
bun install  # First time only
bun run analyze_excel.ts /path/to/data.xlsx
bun run analyze_excel.ts data.xlsx
bun run analyze_excel.ts data.xlsx --output reports/audit.md
cd /path/to/excel-data-analyzer/scripts
bun install
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About this skill
What does the excel-data-analyzer skill do?

Analyze messy and unstructured Excel files to identify data quality issues, detect format inconsistencies, find missing values, and generate comprehensive analysis reports. Use when Claude needs to work with Excel files (.xlsx, .xls) for data quality assessment, structure analysis, or when users request data auditing, cleaning recommendations, or statistical summaries of spreadsheet data.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill excel-data-analyzer-mineru98-skills-store-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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