A support ticket can read as fine on the surface while the customer quietly gets angrier. This tracker scores sentiment across the linked Slack thread and Linear issue, watching how the mood shifts from first report to fix.
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README.md
Why this subagent
A support ticket can read as fine on the surface while the customer quietly gets angrier. This tracker scores sentiment across the linked Slack thread and Linear issue, watching how the mood shifts from first report to fix.
When a thread turns negative, it flags the issue to a lead before resolution, not after the customer has already left. You see frustration building in time to step in rather than reading about it in a churn report.
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.
Score the customer's sentiment on each update as it moves through the queue.
pending
Track how sentiment shifts from first report to resolution per issue.
pending
Flag threads turning negative so a lead can step in before the customer churns.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
Score the customer's sentiment in this message from -1 to 1 and note what is driving it.
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.