Errors
This skill identifies and flags potential errors in your generated text, improving accuracy and reducing unwanted outputs.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add yonatangross-errors npx -- -y @trustedskills/yonatangross-errors
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"yonatangross-errors": {
"command": "npx",
"args": [
"-y",
"@trustedskills/yonatangross-errors"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill, authored by yonatangross, provides functionality for identifying and handling errors. It appears to be designed to improve the robustness of AI agent workflows by allowing agents to detect and potentially recover from unexpected issues or failures during task execution. The specific implementation details are not provided in the source content.
When to use it
- When an AI agent is performing complex tasks that have a high potential for failure (e.g., interacting with external APIs).
- During development and testing of AI agents, to proactively identify and address error conditions.
- To build more reliable AI workflows by implementing error handling logic within the agent's processes.
- When debugging an AI agent’s behavior and needing to understand why a task failed.
Key capabilities
- Error detection
- Error handling (implied)
Example prompts
- "Check for errors in this code snippet."
- "What are the possible error conditions when calling this API?"
- "How can I handle this specific error message?"
Tips & gotchas
The source content does not provide any specific prerequisites or limitations. Further documentation would be needed to understand how to effectively integrate and utilize this skill within an AI agent environment.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.