grammarly-data-handling
Implement Grammarly data handling patterns for document processing. Use when handling large documents, managing text chunking, or implementing data pipelines for Grammarly API. Trigger with phrases like "grammarly data", "grammarly documents", "grammarly text processing", "grammarly pipeline". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill grammarly-data-handling --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Grammarly Data Handling ## Overview Handle large documents, text chunking, and data pipelines for Grammarly API. The API accepts max 100,000 characters (4 MB) with a minimum of 30 words. ## Instructions ### Step 1: Text Chunking ```typescript function chunkText(text: string, maxChars = 90000): string[] { if (text.length <= maxChars) return [text]; const paragraphs = text.split('\n\n'); const chu
What does the grammarly-data-handling skill do?
Implement Grammarly data handling patterns for document processing. Use when handling large documents, managing text chunking, or implementing data pipelines for Grammarly API. Trigger with phrases like "grammarly data", "grammarly documents", "grammarly text processing", "grammarly pipeline". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill grammarly-data-handling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.