Agent Skills: Grammarly Data Handling

|

UncategorizedID: jeremylongshore/claude-code-plugins-plus-skills/grammarly-data-handling

Install this agent skill to your local

pnpm dlx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/HEAD/plugins/saas-packs/grammarly-pack/skills/grammarly-data-handling

Skill Files

Browse the full folder contents for grammarly-data-handling.

Download Skill

Loading file tree…

plugins/saas-packs/grammarly-pack/skills/grammarly-data-handling/SKILL.md

Skill Metadata

Name
grammarly-data-handling
Description
|

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);
}

Resources