Claude-code-plugins-plus-skills grammarly-core-workflow-a

install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/grammarly-pack/skills/grammarly-core-workflow-a" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-skills-grammarly-core-workflow-a && rm -rf "$T"
manifest: plugins/saas-packs/grammarly-pack/skills/grammarly-core-workflow-a/SKILL.md
source content

Grammarly Writing Score Integration

Overview

Integrate Grammarly's Writing Score API into your application. Score documents, track writing quality over time, and provide feedback. The API evaluates text across four dimensions: engagement, correctness, clarity, and tone.

Prerequisites

  • Completed
    grammarly-install-auth
    setup
  • Understanding of score dimensions

Instructions

Step 1: Typed Score Client

// src/grammarly/scoring.ts
interface WritingScore {
  overallScore: number;
  engagement: number;
  correctness: number;
  clarity: number;
  tone: number;
}

interface ScoreRequest {
  text: string;
  audienceType?: 'general' | 'knowledgeable' | 'expert';
  domain?: 'academic' | 'business' | 'general' | 'email' | 'casual';
}

async function scoreDocument(req: ScoreRequest, token: string): Promise<WritingScore> {
  const response = await fetch('https://api.grammarly.com/ecosystem/api/v2/scores', {
    method: 'POST',
    headers: { 'Authorization': `Bearer ${token}`, 'Content-Type': 'application/json' },
    body: JSON.stringify(req),
  });
  if (!response.ok) throw new Error(`Grammarly API ${response.status}: ${await response.text()}`);
  return response.json();
}

Step 2: Batch Document Scoring

async function batchScore(documents: string[], token: string): Promise<WritingScore[]> {
  const results: WritingScore[] = [];
  for (const doc of documents) {
    if (doc.split(/\s+/).length < 30) {
      console.warn('Skipping: minimum 30 words required');
      continue;
    }
    const score = await scoreDocument({ text: doc }, token);
    results.push(score);
    await new Promise(r => setTimeout(r, 500)); // Rate limit buffer
  }
  return results;
}

Step 3: Quality Threshold Enforcement

interface QualityGate {
  minOverall: number;
  minCorrectness: number;
  minClarity: number;
}

function checkQualityGate(score: WritingScore, gate: QualityGate): { passed: boolean; issues: string[] } {
  const issues: string[] = [];
  if (score.overallScore < gate.minOverall) issues.push(`Overall ${score.overallScore} < ${gate.minOverall}`);
  if (score.correctness < gate.minCorrectness) issues.push(`Correctness ${score.correctness} < ${gate.minCorrectness}`);
  if (score.clarity < gate.minClarity) issues.push(`Clarity ${score.clarity} < ${gate.minClarity}`);
  return { passed: issues.length === 0, issues };
}

// Usage: enforce quality before publishing
const score = await scoreDocument({ text: blogPost }, token);
const gate = checkQualityGate(score, { minOverall: 80, minCorrectness: 90, minClarity: 75 });
if (!gate.passed) console.error('Quality gate failed:', gate.issues);

API Limits

LimitValue
Max text size4 MB
Max characters100,000
Min words30

Error Handling

ErrorCauseSolution
400
Text too shortEnsure >= 30 words
413
Text too largeSplit into chunks < 100K chars
429
Rate limitedImplement exponential backoff

Resources

Next Steps

For AI and plagiarism detection, see

grammarly-core-workflow-b
.