grammarly-cost-tuning

Featured

Optimize Grammarly costs through tier selection, sampling, and usage monitoring. Use when analyzing Grammarly billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "grammarly cost", "grammarly billing", "reduce grammarly costs", "grammarly pricing", "grammarly expensive", "grammarly budget".

AI & Automation 2,266 stars 315 forks Updated today MIT

Install

View on GitHub

Quality Score: 99/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Grammarly Cost Tuning ## Overview Grammarly enterprise pricing is per-seat with API costs driven by text check request volume and document length. Each grammar check, tone analysis, and plagiarism scan consumes API quota proportional to word count. For organizations processing thousands of documents daily, unchecked API usage — especially on long documents or duplicate content — creates substantial cost overrun. Implementing validation gates, result caching, and sample-based scoring reduces API spend by 40-60% without sacrificing quality coverage. ## Cost Breakdown | Component | Cost Driver | Optimization | |-----------|------------|--------------| | Seat licenses | Per-user/month enterprise pricing | Audit active seats quarterly; remove inactive users | | Text check requests | Per-call API quota on grammar/tone checks | Cache results for identical text; deduplicate requests | | Document length | API cost scales with word count per request | Chunk documents over 10K words; skip boilerplate sections | | Plagiarism scans | Higher-cost endpoint for originality checks | Run only on final drafts, not every revision | | AI rewrite suggestions | Premium feature with per-request cost | Batch rewrites; limit to flagged passages only | ## API Call Reduction ```typescript class GrammarlyCostGate { private resultCache = new Map<string, any>(); shouldCheck(text: string): boolean { const words = text.split(/\s+/).length; return words >= 30 && words <= 50_000; // Skip t...

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Solid

grammarly-performance-tuning

Optimize Grammarly API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Grammarly integrations. Trigger with phrases like "grammarly performance", "optimize grammarly", "grammarly latency", "grammarly caching", "grammarly slow", "grammarly batch".

2,266 Updated today
jeremylongshore
AI & Automation Featured

grammarly-rate-limits

Implement Grammarly rate limiting, backoff, and idempotency patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Grammarly. Trigger with phrases like "grammarly rate limit", "grammarly throttling", "grammarly 429", "grammarly retry", "grammarly backoff".

2,266 Updated today
jeremylongshore
AI & Automation Featured

grammarly-observability

Implement Grammarly observability with metrics and logging. Use when setting up monitoring, tracking API performance, or implementing alerting for Grammarly integrations. Trigger with phrases like "grammarly monitoring", "grammarly metrics", "grammarly observability", "grammarly logging", "grammarly alerts".

2,266 Updated today
jeremylongshore
AI & Automation Featured

deepgram-cost-tuning

Optimize Deepgram costs and usage for budget-conscious deployments. Use when reducing transcription costs, implementing usage controls, or optimizing pricing tier utilization. Trigger: "deepgram cost", "reduce deepgram spending", "deepgram pricing", "deepgram budget", "optimize deepgram usage", "deepgram billing".

2,266 Updated today
jeremylongshore
AI & Automation Solid

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".

2,266 Updated today
jeremylongshore