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learn-pj-incident

Track incident response from issue reporting to risk registration in ProjSight workflows.

Updated Mar 12, 2026
Search Tags:#debugging#root cause analysis#issue tracking#risk management#incident response#project workflow#projsight
One-click install
npx skills add https://github.com/novel-jp/projsight-plugin --skill learn-pj-incident
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: learn-pj-incident
Source: https://github.com/novel-jp/projsight-plugin/tree/main/skills/learn-pj-incident
Command: npx skills add https://github.com/novel-jp/projsight-plugin --skill learn-pj-incident

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill teaches teams how to handle a production incident from first report to prevention, so they can record the problem clearly, diagnose it systematically, and keep the recovery process traceable in ProjSight.

Core Features & Use Cases

  • Incident Intake: Capture symptoms, impact, severity, and reproduction steps as a structured issue.
  • Root-Cause Investigation: Organize logs, hypotheses, and code evidence before asking AI for debugging support.
  • Fix Tracking and Prevention: Create a repair task, link it to the issue, resolve it, and register a follow-up risk to prevent recurrence.
  • Use Case: A team encounters a post-release bug, logs it as an issue, investigates the cause with AI, completes the fix, and records a mitigation plan for the next retrospective.

Quick Start

Ask the AI to walk you through an incident simulation in ProjSight, from issue creation through debugging, fix tracking, and risk registration.

Frequently Asked Questions about learn-pj-incident

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track an incident response from issue reporting to prevention in ProjSight?▼

Incident response tracking in ProjSight guides you through issue reporting, root-cause analysis, remediation, and prevention. It requires structured issue updates, task linking, and work status transitions to maintain end-to-end traceability for retrospective learning.

What is the best way to perform root cause analysis for a post-deployment bug in my project workflow?▼

Root cause analysis for a post-deployment bug involves organizing logs, hypotheses, and code evidence before requesting AI debugging support. This systematic investigation ensures you capture accurate symptoms, impact, severity, and reproduction steps within a structured issue.

Can I simulate CI failures and performance regressions using this incident response workflow?▼

Yes, you can simulate CI failures, performance regressions, and input errors within this incident response workflow. The simulation supports post-deployment bug scenarios, allowing you to practice creating repair tasks and linking them to the original issues.

How do I register follow-up risks to prevent incident recurrence after a fix?▼

To prevent incident recurrence, you register a follow-up risk after completing and resolving the repair task linked to the issue. This mitigation plan preserves traceability and provides structured documentation for your next project retrospective.

How does incident response tracking handle issue updates and task linking for traceability?▼

Incident response tracking preserves traceability by requiring structured issue updates, task linking, work status transitions, and risk registration. This ensures every step from issue intake to remediation is systematically recorded for retrospective analysis.

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