Grammarly performance tuning
425 plugins, 2,810 skills, 200 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill grammarly-performance-tuningAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
'Optimize Grammarly API performance with caching, batching, and connection pooling.
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
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Grammarly Performance Tuning
Latency Benchmarks
| API | Typical Latency | Notes |
|---|---|---|
| Writing Score | 1-3s | Depends on text length |
| AI Detection | 1-2s | Fast for short text |
| Plagiarism | 10-60s | Async, requires polling |
Instructions
Cache Score Results
import { LRUCache } from 'lru-cache';
import { createHash } from 'crypto';
const scoreCache = new LRUCache<string, any>({ max: 500, ttl: 3600000 });
async function cachedScore(text: string, token: string) {
const key = createHash('sha256').update(text).digest('hex');
const cached = scoreCache.get(key);
if (cached) return cached;
const score = await grammarlyClient.score(text);
scoreCache.set(key, score);
return score;
}
Parallel API Calls
// Score + AI detect in parallel (they're independent)
async function fullAudit(text: string, token: string) {
const [score, ai] = await Promise.all([
grammarlyClient.score(text),
grammarlyClient.detectAI(text),
]);
return { score, ai };
}
Resources
Next Steps
For cost optimization, see grammarly-cost-tuning.