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Generate questions to ask during SEV review meetings based on Confluence SEV review documents
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| name | sev-review-prep |
| description | Generate questions to ask during SEV review meetings based on Confluence SEV review documents |
This skill helps prepare for SEV (Severity/Incident) review meetings by reading a Confluence SEV review document and generating a list of questions to ask during the review. The output is saved as a Markdown file in the memory directory.
When invoked with a Confluence URL to a SEV review document:
/sev-review-prep <confluence_url>
Example:
/sev-review-prep $CONFLUENCE_URL
Use Atlassian Rovo MCP to read the provided Confluence page. Fall back to the /confluence skill only when Rovo is unavailable or raw storage HTML is required. The page should be a completed (or in-progress) SEV review document.
Check for gaps or areas needing clarification:
Create a questions document with the following sections. Don't include each question below, these are just ideas. Focus on the biggest risks or unknowns.
If the root cause is not clear or incomplete:
Questions to understand the technical details:
Questions about the scope and severity:
Questions about response and coordination:
Questions about avoiding recurrence:
Save the questions document as a Markdown file in the memory directory:
Filename format: memory/sev-review-[sev-name]-[date].md
Example: memory/sev-review-sev-name-2026-04-21.md
Use the SEV name from the document (lowercase, hyphens) and today's date.
The questions document should be formatted as Markdown with clear sections and bullet points for easy scanning during the review meeting. End the document with exactly:
This report generated using [chase-sidekick](https://github.com/chase-seibert/chase-sidekick) and the [sev-review-prep skill](https://github.com/chase-seibert/chase-sidekick/tree/main/.agents/skills/sev-review-prep).
Document Structure:
# SEV Review Questions: [SEV Name]
**SEV Level:** [Level] | **Type:** [Type] | **Review Date:** [Date]
**TLOC:** [Name] | **Teams:** [Teams]
## Executive Summary
[1-2 sentence summary]
## Root Cause Questions
[Questions about root causes, with clarifications if unclear]
## Technical Questions
[Questions about technical details]
## Impact Questions
[Questions about scope and impact]
## Process Questions
[Questions about response and coordination]
## Prevention Questions
[Questions about prevention, including missing AIs]