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Prepare Langfuse weekly production reviews covering failures, fixes, open issues, and tracking gaps.
Passed 18 of 21 test cases with the skill, and 4 of 21 without it.
and 21 more in the full report
15 fixed4 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
After reviewing our weekly production report, we approved filing a new issue for an unhandled queue exception and adding trace evidence comments to an existing issue. Which authority skill governs proposing the write set, acquiring approval, and applying labels?
| Checked | Without skill | With skill |
|---|---|---|
| Cites linear-bug-triage or linear-agent-writes as the authority skill for Linear write-backs. | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill to produce a source-grounded production review across Datadog, incident.io, and Linear. Keep the output factual, table-first, and easy to audit from the linked source rows.
prod-us, prod-eu, prod-hipaa, and prod-jp.linear-agent-writes
is the authority; linear-bug-triage applies
it to measured findings.No measurements found when a requested signal cannot be queried or
measured.datadog-query-recipes for
production Datadog query shapes and environment/site routing.linear-bug-triage for the Linear
write-back: it proposes measured evidence comments and new filings, then
writes once you approve the set.incident-alert-tickets to check
each alert cluster against the per-monitor knowledge base and record newly
root-caused clusters there as a labelled description edit.test cases passed, vs 4 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.