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headless-recommend-fixes

Generate ranked remediation options for incidents from parsed context and historical fixes.

13|1|Updated Mar 24, 2026
Search Tags:#automation#remediation#patterns#postmortem#headless#risk#incident
One-click install
npx skills add https://github.com/unblocked/cookbook --skill headless-recommend-fixes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: headless-recommend-fixes
Source: https://github.com/unblocked/cookbook/tree/main/recipes/headless-recommend-fixes
Command: npx skills add https://github.com/unblocked/cookbook --skill headless-recommend-fixes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides autonomous incident remediation guidance by generating ranked fix recommendations based on historical patterns, helping teams reduce mean time to mitigation without manual triage.

Core Features & Use Cases

  • Automated evaluation: parses incident context, searches for past remediation patterns, and ranks potential actions by risk and impact.
  • Tiered recommendations: outputs immediate mitigations, root-cause fixes, and preventive measures ready for PRs or runbooks.
  • Use Case: during an on-call incident, an agent can autonomously propose a prioritized remediation plan with justifications and rollback considerations.

Quick Start

Provide an incident description and let the skill generate ranked remediation options for containment, root-cause fixes, and prevention.

Frequently Asked Questions about headless-recommend-fixes

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

FAQPage Schema
How do I automate incident remediation recommendations in a CI/CD pipeline?▼

Automated incident remediation in a CI/CD pipeline uses a headless workflow to parse incident context, research historical fixes, and output ranked mitigation and root-cause recommendations. This reduces manual triage during automated deployments.

What are tiered recommendations for incident remediation?▼

Tiered remediation recommendations categorize proposed fixes into immediate mitigations, root-cause fixes, and preventive measures. This structured approach helps teams systematically address incidents from containment through long-term prevention.

Can I generate ranked fix options for an on-call incident automatically?▼

Yes, you can automatically generate ranked fix options for an on-call incident. An autonomous agent evaluates incident context and historical patterns to prioritize potential actions by risk and impact, providing justifications and rollback considerations.

How do I find historical remediation patterns for a confirmed incident root cause?▼

Finding historical remediation patterns involves parsing the confirmed incident context and searching past postmortem data. The system matches similar incidents to rank potential fix candidates based on previous successful mitigations and preventive measures.

Does autonomous incident remediation work in headless orchestration environments?▼

Autonomous incident remediation works in headless orchestration environments by operating without manual intervention. It parses context, validates fix candidates, and outputs structured remediation plans suitable for CI/CD agents and automated workflows.

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