Linear skill now checks auto-triage agent first
The skill's workflow now prioritizes insights from Flaky, an auto-triage agent, before falling back to manual lookups — making issue summaries faster and more consistent.
The Linear-issue skill has been updated to check for automated triage insights before doing manual analysis. When processing an issue, the agent now searches for a comment from Flaky — an auto-triage agent — and extracts popularity scores and effort estimates directly from that analysis. Only if no Flaky comment exists does the skill fall back to the traditional method of looking up node popularity files or assessing effort manually.
This matters because automated triage agents already do much of this work. By leveraging those existing comments instead of recomputing, the agent can generate issue summaries faster and with greater consistency — relying on the same evaluation framework each time. The change also requires transparency: all summaries must note whether values came from Flaky or were derived manually, so readers know the source of each estimate.
In the n8n plugin's issue processing workflow, this streamlines how the agent handles incoming Linear issues.
View Original GitHub Description
- added fetching issue analysis from Flaky's comment with priority, before attempting it locally