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Detects workflow failures and inefficient patterns then files GitHub issues.
Passed 16 of 19 test cases with the skill, and 10 of 19 without it.
and 6 more in the full report
9 fixed10 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
During monitoring of session `sess-1002`, an error was detected. You ran `gh issue list --search` and found an existing open issue `https://github.com/org/repo/issues/42` covering the exact same error. Should you create a new issue or suppress it?
| Checked | Without skill | With skill |
|---|---|---|
| Suppresses the creation of a new duplicate issue. | Passed | Passed |
| References the existing issue URL https://github.com/org/repo/issues/42. | Missed | Passed |
The instructions your model reads when the skill loads.
superpowers:systematic-debugging)sanctum:workflow-improvement)Monitor workflow executions for errors and inefficiencies, automatically creating issues on the detected git platform (GitHub/GitLab) for improvements. Check session context for git_platform: and use Skill(leyline:git-platform) for CLI command mapping.
Workflows should improve over time. When execution issues occur, capturing them systematically enables continuous improvement. This skill hooks into workflow execution to detect problems and propose fixes.
# After a failed workflow
/workflow-monitor --analyze-last
# Monitor a specific workflow execution
/workflow-monitor --session <session-id>
# Analyze efficiency of recent workflows
/workflow-monitor --efficiency-report
When enabled, workflow-monitor observes execution and flags:
test cases passed, vs 10 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.