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Handle errors caught in Output workflows without losing failure context.
Passed 22 of 23 test cases with the skill, and 14 of 23 without it.
and 11 more in the full report
8 fixed14 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
Show me the standard boilerplate for exporting a workflow definition named `process_order` that calls a step function `processOrderStep(input)` using the core workflow helper framework.
| Checked | Without skill | With skill |
|---|---|---|
| The implementation exports using the workflow function from @outputai/core. | Missed | Passed |
| The workflow options specify process_order as the name parameter. | Missed | Passed |
The instructions your model reads when the skill loads.
Steps and evaluators run as Temporal Activities. Temporal applies their configured retry policy before returning a successful result or throwing a final failure to workflow code.
A workflow catch around a step therefore runs only after the step has exhausted its Activity retries. Catching that failure does not disable or bypass the Activity retry policy.
The catch block decides what the workflow does with the final failure:
Do not add a catch block that only wraps or logs an error. It can discard Temporal's failure type, cause chain, and retry metadata.
// Avoid: replaces the original Temporal failure chain.
try {
return await fetchData( input );
} catch ( error ) {
throw new Error( `Fetch failed: ${error.message}` );
}
When the workflow cannot recover, let the step failure propagate:
export default workflow( {
name: 'fetch_workflow',
fn: async input => fetchData( input )
} );
If a catch block handles only known failures, always rethrow everything else.
test cases passed, vs 14 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.