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incident-response
On-call incident triage patterns — Azure Status checks, incident correlation, and systematic response procedures.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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On-call incident triage patterns — Azure Status checks, incident correlation, and systematic response procedures.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
Protocol for sending queries, delegating tasks, and sharing context between independent Squad instances across different repositories
Create, run, and manage child squads for specific missions. Enables an HQ coordinator to fan out work to purpose-built teams.
Automatically create a comprehensive "Book of News" PDF from any conference — scrapes sessions, captures video screenshots, extracts transcripts (VTT) and slide content via OCR, generates AI digests with fact-checking, and produces an Ignite-style publication with images, announcements, code samples, and indexes.
Secure credential management for AI agents via official Bitwarden MCP server and bw CLI. Agents can store and retrieve secrets without exposing the entire vault. All access is audited.
Blog post quality patterns for technical writing — storytelling structure, code block rules, series conventions, and pre-publish checklists.
Prevent multiple Squad/Ralph instances from fighting over global gh auth state when running across repos with different GitHub accounts (personal vs EMU/enterprise).
SOC 職業分類に基づく
| name | incident-response |
| description | On-call incident triage patterns — Azure Status checks, incident correlation, and systematic response procedures. |
| confidence | medium |
| domain | incident-response, reliability, infrastructure |
During any incident or ICM, FIRST check Azure Status to determine if it's a broader Azure infrastructure issue.
Quickly distinguish "our problem" from "Azure-wide outage." During an incident, the Azure Status page reveals if other services are affected, proving that the incident is not isolated to your system. This reduces blame during incident resolution and redirects focus appropriately.
Real-world example: During a production incident, multiple Azure services were degraded simultaneously. Checking Azure Status showed others were also affected, proving it wasn't a fault in the team's deployment or configuration.
- [ ] Check Azure Status page for active incidents
- [ ] Correlate incident timeline with Azure status timeline
- [ ] Identify affected Azure services relevant to your workload
- [ ] Check if other teams are reporting similar issues
- [ ] Document findings in incident notes
- [ ] If Azure-wide: link Azure incident ID in your ICM
- [ ] If isolated: proceed with standard debugging