What is the best way to fix a 'context_length_exceeded' error?

You can use the /compact command to summarize the existing context or /clear to start a fresh session if the current state is too large or corrupted.

What should I do if a tool permission is denied?

Run the /permissions command to view current access levels and explicitly allow the specific tool, or update your settings.json for persistent access.

How do I handle Claude Code rate limit errors?

The skill recommends waiting at least 60 seconds and applying a retry pattern with exponential backoff and jitter to avoid high-contention failures.

How can I verify if my Claude environment is healthy?

Run the 'claude doctor' command or check specific components using /permissions, /mcp, or /hooks to identify failing dependencies.

Error Recovery & Prevention

Name: Error Recovery & Prevention
Author: hgeldenhuys

byhgeldenhuys

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Developer Tools

Handles Claude Code errors gracefully with systematic recovery strategies and prevention techniques to maintain development momentum.

About

The Error Recovery skill provides Claude with a comprehensive framework for identifying, diagnosing, and resolving technical issues encountered during the coding process. It categorizes errors into API, Tool, Context, and MCP domains, offering specific recovery workflows like exponential backoff for rate limits, context compaction for token overflows, and permission validation for tool failures. By implementing these systematic patterns, developers can minimize downtime and ensure Claude remains productive even when encountering environmental or infrastructure hurdles.

Key Features

Automated context management with compaction and clearing strategies for token overflows
Detailed error anatomy analysis to pinpoint root causes and suggested actions
1 GitHub stars
Proactive error prevention checklists and integrated system health checks
Systematic identification of error categories including API, Tool, Context, and MCP
Advanced retry logic implementation featuring exponential backoff and jitter

Use Cases

Diagnosing and resolving tool permission or file system errors without manual intervention
Optimizing long-running sessions by managing context windows to prevent state corruption
Automatically recovering from API rate limits and capacity issues during high-frequency tasks

About

Key Features

Automated context management with compaction and clearing strategies for token overflows
Detailed error anatomy analysis to pinpoint root causes and suggested actions
1 GitHub stars
Proactive error prevention checklists and integrated system health checks
Systematic identification of error categories including API, Tool, Context, and MCP
Advanced retry logic implementation featuring exponential backoff and jitter

Use Cases

Diagnosing and resolving tool permission or file system errors without manual intervention
Optimizing long-running sessions by managing context windows to prevent state corruption
Automatically recovering from API rate limits and capacity issues during high-frequency tasks