This skill analyzes Excel/CSV complexity to route processing between fast Pandas mode and accurate HTML semantic mode, optimizing speed and reliability.
npx playbooks add skill harryoung/efka --skill excel-parser
The Excel Parser skill analyzes the complexity of Excel and CSV files to determine the most efficient processing method, routing them between fast Pandas mode for simpler files and accurate HTML semantic mode for more complex ones, optimizing both speed and reliability. This skill enables automation of Excel and CSV file processing, allowing developers to streamline their workflow. Developers would use the Excel Parser skill when they need to efficiently process Excel or CSV files as part of a larger automation task.
This compact 21-word instruction set is purpose-built for automation & integrations work in AI coding agents. Install with a single command.
This skill analyzes Excel/CSV complexity to route processing between fast Pandas mode and accurate HTML semantic mode, optimizing speed and reliability.
Excel Parser is a free automation & integrations skill for AI coding agents. This skill analyzes Excel/CSV complexity to route processing between fast Pandas mode and accurate HTML semantic mode, optimizing speed and reliability.. It provides a specialized system prompt that configures your agent with automation & integrations expertise.
Run npx playbooks add skill harryoung/efka --skill excel-parser in your terminal to install Excel Parser into your Claude Code session. It works immediately after installation.
Excel Parser is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Excel Parser is completely free and open source. The full source is available on GitHub at https://github.com/harryoung/efka/tree/main/skills/excel-parser. You only need a subscription to the AI agent you use it with.
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