Bugs get reported in Slack and then vanish. Someone types out the problem, a few people react, and the thread scrolls away before anyone files it. The same issue gets reported again next week because no record was ever made.
sonnet3 daysSlackLinearOpenAI
Claude
84ROI
66Scale
$3.6k96Saved
ROI for
README.md
Why this subagent
Bugs get reported in Slack and then vanish. Someone types out the problem, a few people react, and the thread scrolls away before anyone files it. The same issue gets reported again next week because no record was ever made.
This agent reads issues reported in your support channel and files a clean Linear ticket in the right queue, with severity and repro steps pulled from the message. It replies in the thread with the link, so the reporter can track it. Nothing depends on someone remembering to copy it over by hand.
How it runs
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
Read the message to pull the affected area, severity, and reproduction details.
pending
Create a Linear issue in the right team queue with a clean title and the details filled in.
pending
Reply in the Slack thread with the issue link so the reporter can follow it.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
From a Slack-reported issue, return a Linear issue with title, team, priority, and a description built from the reported details.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.