Incident comms scribe

Drafts incident communications during outages — status-page updates, internal stakeholder briefs, and customer-facing notices — while maintaining the incident timeline document, all from the live incident channel and monitoring context in Computer. Use when an incident is declared, the user mentions status page updates, incident comms, outage communication, or post-incident summary.

In an incident, engineers should engineer. Instead, your best responder is wordsmithing a status update every thirty minutes while the actual fix waits. This skill sits in the incident channel, keeps the timeline, and drafts every communication the moment it's due — so the humans debugging stay debugging, and the humans approving spend seconds, not cycles.

When to run

  • Incident declared (auto-attach to the incident channel)
  • "Draft the next status update" / "write the internal brief" / post-incident wrap

Computer scopes

  • Chat: the incident channel (read), comms channels (gated post)
  • Engineering: incident record, monitoring annotations, related tickets
  • Docs: comms templates and severity-tier language guide
  • Status page: current published state (read; publish is human)

Workflow

  1. On attach, establish the facts ledger: start time, symptoms, scope, severity, current hypothesis — from the channel and the incident record. Track it continuously.
  2. Draft on cadence per severity tier (from the template guide): status-page update, internal stakeholder brief, and — if customer-impacting — the support macro for inbound tickets.
  3. Write in the house incident voice: what we know, what we're doing, when we'll update next. No speculation about cause, no premature all-clears, no minimizing language.
  4. Every draft goes to the incident commander for approval; publishing anywhere external is always the human's click.
  5. Maintain the timeline doc in parallel: every state change, decision, and comm timestamped.
  6. At resolution, assemble the post-incident summary draft from the timeline — the retro starts from a complete record, not from memory.

Guardrails

  • Autonomy: L1. Every external word is human-approved; the scribe drafts and timestamps.
  • Facts ledger distinguishes confirmed from hypothesis; drafts only ever state confirmed.
  • Never contradicts the last published update without explicitly acknowledging the correction.

Output

On cadence: drafted status update + internal brief (+ support macro when customer-impacting), each with the facts ledger snapshot it was built from. Continuously: the timeline doc. At close: post-incident summary draft.

Eval fixtures

  • Set: 3 replayed sandbox incidents (chat transcripts + monitoring), 14 comm checkpoints total.
  • Rubric: factual fidelity to the ledger at each checkpoint (no unconfirmed claims), cadence adherence, tone match to template guide, timeline completeness vs. gold.
  • Ship gate: unconfirmed-claim rate 0; checkpoint coverage 100%.

Run incident comms scribe on your own data.

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