query-operational-knowledge-during-incidents

Query federated memory banks to surface incident-relevant operational knowledge.

1|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/constellize/marketplace --skill query-operational-knowledge-during-incidents
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: query-operational-knowledge-during-incidents
Source: https://github.com/constellize/marketplace/tree/main/plugins/constellize-operations/skills/query-operational-knowledge-during-incidents
Command: npx skills add https://github.com/constellize/marketplace --skill query-operational-knowledge-during-incidents

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Incident responders often struggle to locate and assemble relevant operational context across federated memory banks during incidents, slowing diagnosis and remediation.

Core Features & Use Cases

  • Federated knowledge querying across multiple sources (runbooks, past incidents, dependencies, architecture context) to surface incident-specific context.
  • Prioritized context extraction that emphasizes recency, relevance, and critical dependencies.
  • Dependency traversal to map upstream and downstream impact and guide containment and recovery actions.
  • Architecture-aligned insights to validate design assumptions and uncover deviations that slow resolution.
  • Synthesis of findings into an actionable investigation path with knowledge gaps and recommended next steps.

Quick Start

Prompt the system to synthesize incident-relevant knowledge across memory banks and return a prioritized, actionable investigation path.

Frequently Asked Questions about query-operational-knowledge-during-incidents

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

FAQPage Schema
How do I surface relevant runbooks and past incidents during an active incident?

To surface relevant runbooks and past incidents during an active incident, query federated memory banks to extract prioritized operational knowledge, mapping affected components and dependencies. This synthesizes a focused investigation path with actionable next steps.

What is federated knowledge querying for incident management?

Federated knowledge querying for incident management is the process of searching across multiple operational memory banks to assemble incident-specific context. It emphasizes recency, relevance, and critical dependencies to accelerate diagnosis and remediation.

How do I map upstream and downstream dependencies to guide incident containment?

Map upstream and downstream dependencies to guide incident containment by traversing federated architecture context and memory banks. This identifies critical impact zones, validates design assumptions, and directs focused recovery actions.

Can I use architecture context to uncover deviations slowing incident resolution?

Yes, you can use architecture-aligned insights from memory banks to validate design assumptions and uncover architecture deviations slowing incident resolution. This context helps responders quickly identify systemic mismatches and prioritize remediation steps.

What is the best way to assemble focused context for time-constrained incidents?

The best way to assemble focused context for time-constrained incidents is to synthesize operational knowledge across federated memory banks. This returns a prioritized investigation path complete with knowledge gaps and actionable next actions.

How do I identify knowledge gaps when investigating affected components during an incident?

Identify knowledge gaps when investigating affected components by synthesizing queried operational knowledge from memory banks. The synthesis explicitly returns missing context alongside prioritized steps, directing responders to gather necessary missing data.