data-structure-checker
OfficialAuto-fixes messy tabular data for analysis.
Data & Analytics#pandas#data-cleaning#data-preparation#unicode-path#data-type-inference#encoding-detection#multi-level-headers
Authoraws-samples
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill automatically detects and fixes common data file issues when reading any tabular data file (Excel, CSV, Parquet, ODS). It returns a clean DataFrame ready for analysis with zero user intervention.
Core Features & Use Cases
- Auto-fixes:
- Multi-level/hierarchical headers (flattens with a separator)
- Encoding issues (utf-8, cp949, euc-kr, etc.)
- Empty rows and columns
- Data type inference and conversion
- Duplicate column names
- Unicode path issues (Korean/CJK filenames)
- Use Case: Quickly turn messy data files into analysis-ready DataFrames across formats (Excel, CSV, Parquet, ODS).
Quick Start
To read any tabular data file with automatic issue detection and fixing, run the checker script: uv run python skills/data-structure-checker/scripts/checker.py data.xlsx
Dependency Matrix
Required Modules
numpypandas
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: data-structure-checker Download link: https://github.com/aws-samples/sample-deep-insight/archive/main.zip#data-structure-checker Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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