headless-investigate-incident

Name: headless-investigate-incident
Availability: InStock
Author: Unblocked

Generate ranked hypotheses and parallel investigation tracks in INCIDENT format.

13|1|Updated Mar 24, 2026

Search Tags:#automation #investigation #headless #incident #hypotheses #incident-response #parallel-tracks

Ready to run

npx skills add https://github.com/unblocked/cookbook --skill headless-investigate-incident

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: headless-investigate-incident
Source: https://github.com/unblocked/cookbook/tree/main/recipes/headless-investigate-incident
Command: npx skills add https://github.com/unblocked/cookbook --skill headless-investigate-incident

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Autonomous planning of incident investigations by generating ranked hypotheses and parallel investigation tracks, grounded in organizational context.

Core Features & Use Cases

Generates 3+ hypotheses with supporting evidence and testing steps.
Produces parallel investigation tracks to accelerate root cause analysis.
Outputs structured data ready for AI agent review in INCIDENT format.

Quick Start

Provide an autonomous incident investigation plan for the given alert prompt, producing ranked hypotheses and parallel investigation tracks.

Frequently Asked Questions about headless-investigate-incident

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

FAQPage Schema

How do I automate incident investigation planning for alerts?▼

Automate incident investigation planning by generating ranked hypotheses and parallel investigation tracks from organizational context like affected services and recent changes. It outputs structured data for AI review without gathering evidence or implementing fixes.

What is a parallel investigation track for incident response?▼

A parallel investigation track accelerates root cause analysis during incident response by structuring multiple independent investigative paths. The Skill generates these tracks alongside ranked hypotheses to guide autonomous testing and resolution efforts.

How do I generate ranked hypotheses from system architecture context?▼

Generate ranked hypotheses by feeding system architecture, recent changes, and historical incident data into the planning process. The Skill produces three or more hypotheses complete with supporting evidence and testing steps.

Can I use this incident planning skill to automatically fix production issues?▼

No, you cannot use this skill to fix production issues. It strictly plans autonomous incident investigations by producing structured hypotheses and parallel tracks, and does not gather evidence or implement fixes.

Does the incident investigation output a structured format for AI agents?▼

Yes, the incident investigation outputs structured data specifically formatted for AI agent review. It uses the INCIDENT format containing distinct sections for HYPOTHESES and PARALLEL_TRACKS to facilitate automated downstream processing.

What context do I need to provide for autonomous incident planning?▼

Provide context such as affected services, system architecture, recent changes, and historical incidents. The Skill applies this organizational context to alerts or symptom descriptions to generate the investigation plan.