Install any skill in seconds. Free to start, no credit card required.
Get Started Free →langfuse/linear-bug-triage
Use this skill after a bug or regression candidate has measured evidence to document them within linear.
Passed 16 of 20 test cases with the skill, and 5 of 20 without it.
and 19 more in the full report
15 fixed3 passed either way2 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
We identified an existing Linear issue ENG-104 for `/api/v1/users` 500 errors. We got human approval to post an evidence comment with recent 10:00-11:00 UTC metrics vs baseline. What label must be applied to the Linear issue when posting this evidence comment?
| Checked | Without skill | With skill |
|---|---|---|
| The response specifies applying the label AI commented when posting the evidence comment. | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill after a bug or regression candidate has measured evidence. This skill owns Linear search, deduplication, evidence comments, and filing new issues once a human says yes; the calling skill owns deciding whether the signal is issue-worthy.
Every write carries a label and is marked as agent-written in the text, and only
three write shapes are permitted at all.
linear-agent-writes is the authority for that
policy; read it before your first write and prefer it over this summary wherever
they differ.
For this skill it resolves to:
AI commented. Mark the
comment body as agent-written.So present the findings table either way: it is what the go-ahead is given against, and it is the report afterwards. One row per candidate:
awaiting your go-ahead with the exact comment or ticket body,
commented <issue key> once approved and posted, or filed <issue key>
once a row is approved and created.test cases passed, vs 5 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.