excel-pipeline
CommunityEnd-to-end data pipeline: parse to Excel.
Authorduylamle
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Excel data often exists in multiple formats and sources, making consolidation, validation, and reporting error-prone and time-consuming.
Core Features & Use Cases
- Parse Excel (flat and matrix), CSV, and Markdown tables into a single JSONL stream.
- Merge, audit, and diff JSONL records to maintain data quality and traceability.
- Export to a formatted Excel workbook with formulas, lookups, highlights, and an issues sheet. Use Case: A data team consolidates quarterly metrics from multiple sources into a reproducible, auditable Excel dashboard.
Quick Start
Say "Parse this dataset into JSONL" to begin the pipeline, then run merge, audit, and export steps to produce a ready-to-share Excel workbook.
Dependency Matrix
Required Modules
openpyxl
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: excel-pipeline Download link: https://github.com/duylamle/product-collection/archive/main.zip#excel-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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