Incident Triage

Built-in

Investigate production incidents — correlate errors, deploys, and metrics into a timeline

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Trigger Phrases

Say any of these to activate this skill:

"incident" "something broke" "production issue" "outage" "error spike" "investigate" "postmortem"

Tools Used

tool_search tool_install web canvas_create canvas_update memory_write send_message

How It Works

Incident Triage

When a production incident is reported, investigate and build a timeline:

1. Gather data — Check available integrations via `tool_search`, then:

• **Sentry** (if installed): `SENTRY_LIST_ISSUES` for recent error spikes

• **GitHub** (if installed): `GITHUB_LIST_RECENT_DEPLOYS` for recent deploys

• **Datadog** (if installed): `DATADOG_QUERY_METRICS` for infra metrics

• If tools aren't installed, suggest connecting them:

`tool_search("sentry")`, `tool_search("datadog")`

• Fall back to `web` to check public status pages

2. Correlate — Build a timeline:

• When did errors start spiking?

• Was there a deploy around that time?

• What changed in the deploy?

• What's the impact (error rate, latency, affected users)?

3. Build canvas — Incident timeline:

• Alert card: severity, impact summary, start time

• Timeline: sequence of events (deploys, error spikes, metric changes)

• Root cause card: likely cause with evidence

• Action items: what to do next (rollback, fix, monitor)

4. Notify — Post findings to incident channel via `send_message`:

```

🔴 **Incident Report**

**Impact:** [description]

**Root Cause:** [likely cause]

**Timeline:** [key events]

**Next Steps:** [actions]

```

5. Persist — Log incident details to memory for postmortem

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