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Get Started Free →hashgraph-online/refine-task
Refine an existing Agiflow task into an unambiguous, testable specification without expanding its intended outcome.
3 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 5 comparable cases; this report requires 8.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
After finalizing the draft refinement for task #330 in Agiflow and applying the approved updates, what key status indicator should be included in the final response?
| Checked | Without skill | With skill |
|---|---|---|
| Includes whether the task is ready for backlog grooming in the summary. | Missed | Passed |
The instructions your model reads when the skill loads.
Make the selected task ready for confident execution while preserving its original intent.
get_current_scope, list_projects, list_tasks, or get_task as needed.get_task for full details and list_task_comments when prior decisions may affect scope.list_project_statuses and list_members only when status or assignment context is relevant.update_task with only the fields that need to change.get_task again to verify the saved result.Acceptance criteria must be specific, measurable, achievable within the task, relevant to its outcome, and directly verifiable. Replace phrases such as "works correctly" or "handles errors" with observable behavior.
Summarize what changed, which ambiguities were resolved, and whether the task is ready for backlog-grooming.
test cases passed with the skill
More skills from the same source and nearby in the registry, with their headline benchmark lift.