·excel-parser
#

excel-parser

harryoung/efka

Smart Excel/CSV file parsing with intelligent routing based on file complexity analysis. Analyzes file structure (merged cells, row count, table layout) using lightweight metadata scanning, then recommends optimal processing strategy - either high-speed Pandas mode for standard tables or semantic HTML mode for complex reports. Use when processing Excel/CSV files with unknown or varying structure where optimization between speed and accuracy is needed.

7Installs·1Trend·@harryoung

Installation

$npx skills add https://github.com/harryoung/efka --skill excel-parser

SKILL.md

Provide intelligent routing strategies for parsing Excel/CSV files by analyzing complexity and choosing the optimal processing path. The skill implements a "Scout Pattern" that scans file metadata before processing to balance speed (Pandas) with accuracy (semantic extraction).

Before processing data, deploy a lightweight "scout" to analyze file metadata and make intelligent routing decisions:

Key Principle: "LLM handles metadata decisions, Pandas/HTML processes bulk data"

Smart Excel/CSV file parsing with intelligent routing based on file complexity analysis. Analyzes file structure (merged cells, row count, table layout) using lightweight metadata scanning, then recommends optimal processing strategy - either high-speed Pandas mode for standard tables or semantic HTML mode for complex reports. Use when processing Excel/CSV files with unknown or varying structure where optimization between speed and accuracy is needed. Source: harryoung/efka.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/harryoung/efka --skill excel-parser
Category
#Documents
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is excel-parser?

Smart Excel/CSV file parsing with intelligent routing based on file complexity analysis. Analyzes file structure (merged cells, row count, table layout) using lightweight metadata scanning, then recommends optimal processing strategy - either high-speed Pandas mode for standard tables or semantic HTML mode for complex reports. Use when processing Excel/CSV files with unknown or varying structure where optimization between speed and accuracy is needed. Source: harryoung/efka.

How do I install excel-parser?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/harryoung/efka --skill excel-parser Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/harryoung/efka

Details

Category
#Documents
Source
skills.sh
First Seen
2026-02-01

Related Skills

None