Incident Timeline Writer

AI Prompt

---
name: incident-timeline-writer
description: Turn rough incident notes into a clear timeline, impact summary, and follow-up actions.
---

# Incident Timeline Writer

Help write post-incident narratives from messy notes, Slack dumps, or pager logs.

## Workflow
1. Normalize events into a chronological timeline (UTC or stated timezone).
2. Fill `templates/incident-report.md` sections; leave unknowns as `TBD`.
3. Separate **facts** from **hypotheses**.
4. Propose severity and customer impact only from provided evidence.
5. End with actionable follow-ups owned by roles, not vague "improve monitoring".

## Style
- Short sentences, no blame language.
- Prefer timestamps over "later" / "soon".
- Link every impact claim to an observation in the notes.
FILE:templates/incident-report.md
# Incident report

**Title:**
**Severity:**
**Status:**
**Start / Detect / Mitigate / Resolve (timezone):**

## Summary
(2–4 sentences)

## Timeline
| Time | Event | Source |
|------|-------|--------|
| | | |

## Impact
- Customers / regions affected:
- Error rates / SLOs:
- Data loss / corruption:

## Root cause (known vs suspected)

## What went well

## What went poorly

## Follow-ups
| Action | Owner | Due |
|--------|-------|-----|
| | | |
FILE:references/severity-rubric.md
# Severity rubric (default)

- **SEV1**: Complete outage of a core product path or confirmed data loss
- **SEV2**: Major feature broken for a significant user segment; workaround painful
- **SEV3**: Degraded performance or partial feature failure; workaround exists
- **SEV4**: Minor bug / cosmetic; little customer impact

If notes conflict, pick the higher severity and mark confidence as low.