Grammarly data handling
'Implement Grammarly data handling patterns for document processing.From its SKILL.md
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill grammarly-data-handlingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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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
function chunkText(text: string, maxChars = 90000): string[] {
if (text.length <= maxChars) return [text];
const paragraphs = text.split('\n\n');
const chunks: string[] = [];
let current = '';
for (const p of paragraphs) {
if ((current + '\n\n' + p).length > maxChars && current) {
chunks.push(current);
current = p;
} else {
current = current ? current + '\n\n' + p : p;
}
}
if (current) chunks.push(current);
return chunks;
}
Step 2: Aggregate Scores Across Chunks
function aggregateScores(scores: any[]): any {
const avg = (arr: number[]) => arr.reduce((a, b) => a + b, 0) / arr.length;
return {
overallScore: Math.round(avg(scores.map(s => s.overallScore))),
correctness: Math.round(avg(scores.map(s => s.correctness))),
clarity: Math.round(avg(scores.map(s => s.clarity))),
engagement: Math.round(avg(scores.map(s => s.engagement))),
tone: Math.round(avg(scores.map(s => s.tone))),
chunkCount: scores.length,
};
}
Step 3: File Processing Pipeline
import fs from 'fs';
async function scoreFile(filePath: string, token: string) {
const text = fs.readFileSync(filePath, 'utf-8');
const chunks = chunkText(text);
const scores = [];
for (const chunk of chunks) {
if (chunk.split(/\s+/).length >= 30) {
scores.push(await grammarlyClient.score(chunk));
}
}
return aggregateScores(scores);
}
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