data-structure-checker
This skill should be used when reading any tabular data file (Excel, CSV, Parquet, ODS). It automatically detects and fixes common data issues including multi-level headers, encoding problems, empty rows/columns, and data type mismatches. Returns a clean DataFrame ready for analysis with zero user intervention.
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install aws-samples/sample-deep-insight/data-structure-checker skilz install aws-samples/sample-deep-insight/data-structure-checker --agent opencode skilz install aws-samples/sample-deep-insight/data-structure-checker --agent codex skilz install aws-samples/sample-deep-insight/data-structure-checker --agent gemini
First time? Install Skilz: pip install skilz
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/aws-samples/sample-deep-insight cp -r sample-deep-insight/self-hosted/skills/data-structure-checker ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- aws-samples (GitHub)
- Repository
- sample-deep-insight
- Type
- Non-Technical
- Meta-Domain
- productivity
- Primary Domain
- excel
- Market Score
- 22.8
Browse Category
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