How does this skill handle the '413 Payload Too Large' error?

It provides specific instructions for splitting text into smaller chunks based on paragraph boundaries to stay within the 4MB or 100,000 character limit.

Does this skill provide diagnostic tools?

Yes, it includes pre-configured bash commands using curl to test API connectivity and validate authorization tokens.

What is the minimum text requirement for the Grammarly API?

The API typically requires a minimum of 30 words to process a request successfully and avoid a 400 Bad Request error.

Can this skill help if my plagiarism check is stuck on pending?

Yes, it recommends a polling strategy (every 3-5 seconds) with a 90-second timeout to effectively manage long-running plagiarism scans.

Grammarly Error Troubleshooter

Name: Grammarly Error Troubleshooter
Author: jeremylongshore

byjeremylongshore

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2,024

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Gestión de Contenido

Troubleshoots and resolves common Grammarly API errors, authentication issues, and integration bottlenecks.

The Grammarly Common Errors skill empowers Claude to identify, diagnose, and fix technical issues encountered when integrating with the Grammarly API. It provides structured guidance on handling specific HTTP status codes like 413 (Payload Too Large) and 429 (Rate Limits), offers quick diagnostic commands for API connectivity, and shares best practices for managing plagiarism checks and AI detection scores. This skill is essential for developers building writing enhancement features who need to ensure robust error handling and smooth user experiences within their applications.

Características Principales

01Guidance on optimal text length and chunking for large documents

02Strategies for handling plagiarism check timeouts and AI detection inconsistencies

03Integrated curl commands for rapid API connectivity and sample text testing

04Automated diagnosis of Grammarly HTTP error codes (400, 401, 413, 429)

05Step-by-step resolution paths for token authentication and re-authentication

062,024 GitHub stars

Casos de Uso

01Debugging failed Grammarly API requests during local development or production monitoring

02Optimizing document processing workflows to prevent payload size errors

03Implementing robust rate-limiting and exponential backoff logic for SaaS applications

Características Principales

01Guidance on optimal text length and chunking for large documents

02Strategies for handling plagiarism check timeouts and AI detection inconsistencies

03Integrated curl commands for rapid API connectivity and sample text testing

04Automated diagnosis of Grammarly HTTP error codes (400, 401, 413, 429)

05Step-by-step resolution paths for token authentication and re-authentication

062,024 GitHub stars

Casos de Uso

01Debugging failed Grammarly API requests during local development or production monitoring

02Optimizing document processing workflows to prevent payload size errors

03Implementing robust rate-limiting and exponential backoff logic for SaaS applications