Error Recoverer
ListedThis "Error Recoverer" intelligently corrects minor inconsistencies and typos in user input for more accurate responses and a smoother experience.
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error-recoverer. adaptationio/skrillz is deleted or private, so it cannot be installed from.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-25. We don't show a command we know will fail.
What we know about this skill
Publisher
adaptationio
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
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About this skill
What it does
The error-recoverer skill helps AI agents gracefully handle and recover from errors encountered during task execution. It provides mechanisms to identify, log, and attempt alternative approaches when a process fails unexpectedly. This ensures the agent can continue operating even in challenging or unpredictable environments.
When to use it
- Complex workflows: When an agent is performing multi-step tasks where failure in one step shouldn't halt the entire process.
- Unreliable APIs: When interacting with external services that are prone to occasional outages or errors.
- Data processing pipelines: To ensure data transformations and analysis continue even if some records cause issues.
- Automated scripting: When running scripts that might encounter unexpected conditions or invalid inputs.
Key capabilities
- Error detection and logging
- Retry mechanisms with configurable delays
- Alternative task execution paths on failure
- Graceful degradation of functionality upon error
Example prompts
- "Agent, run the report generation process, but use
error-recovererto handle any API connection errors." - “If you encounter an error while processing this file, use
error-recovererand try a different parsing method.” - "Use
error-recovererwhen attempting to send emails; if the first attempt fails, retry three times before logging the failure."
Tips & gotchas
The skill requires careful configuration of retry intervals and alternative task paths for optimal effectiveness. Ensure that error conditions are clearly defined within your agent's logic so the error-recoverer can accurately identify and respond to them.