debrief

Automate post-incident analysis and generate debrief documents from codebase evidence.

Updated Apr 14, 2025
One-click install
npx skills add https://github.com/vladpolewoi/config76 --skill debrief-vladpolewoi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debrief
Source: https://github.com/vladpolewoi/config76/tree/main/claude/skills/debrief
Command: npx skills add https://github.com/vladpolewoi/config76 --skill debrief-vladpolewoi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation of a structured post-incident analysis, helping you quickly document timelines, root causes, and actionable follow-ups.

Core Features & Use Cases

  • Structured Analysis: Produces a detailed debrief document with timeline, root cause, and actionable follow-ups.
  • Context Capture: Gather initial information and evidence from the codebase for a thorough analysis.
  • Root Cause Analysis: Synthesize evidence to identify the root cause and contributing factors.
  • Actionable Follow-Ups: Generate specific, assignable action items for prevention, detection, and response.
  • Document Creation: Write the debrief document using a predefined template and structure.

Quick Start

Use the debrief skill to analyze the incident described in the 'error-logs.txt' file and generate a debrief document.

Frequently Asked Questions about debrief

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

FAQPage Schema
How do I automate post-incident analysis for my codebase?

Automate post-incident analysis by using a skill that gathers incident context, collects codebase evidence, performs root cause analysis, and generates actionable follow-ups. It streamlines creating structured debrief documents directly within Claude Code.

What is included in a structured post-incident debrief document?

A structured post-incident debrief document includes a detailed incident timeline, the identified root cause, contributing factors, and specific actionable follow-up items for prevention, detection, and response.

How do I generate root cause analysis from Git operations and error logs?

Generate root cause analysis by feeding error logs and context to an automated process that queries Git operations and analyzes the codebase to synthesize evidence, identify the root cause, and document contributing factors.

Does post-incident analysis work without manual evidence collection from the codebase?

Post-incident analysis automates evidence collection directly from the codebase, but requires providing initial incident context like error logs to accurately synthesize evidence and identify the root cause.

What is the best way to create actionable incident response follow-ups?

The best way to create actionable incident response follow-ups is to synthesize collected codebase evidence to generate specific, assignable action items focused on incident prevention, detection, and response strategies.