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Godiva Signal Schema

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Parse Godiva signals into structured incidents.

Data & Analytics#monitoring#schema#data-extraction#incident#signal#ai-decisioning
AuthormyriosMin
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill defines a deterministic extraction schema to parse maintenance emails, monitoring alerts, and manual triggers into structured incident records for AI decisioning.

Core Features & Use Cases

  • Structured extraction: Extracts signal_type, vendor, subject, affected_system, timestamps, and canonical fields from diverse signals.
  • Domain mapping: Maps affected systems to LaunchDarkly domains to enable consistent bundle selection.
  • Use Case: Normalize operational signals from emails, dashboards, and operators into a uniform incident model for downstream automation and analytics.

Quick Start

Ingest a sample maintenance email into the Godiva Signal Schema to obtain a structured incident record you can feed into the decisioning engine.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Godiva Signal Schema
Download link: https://github.com/myriosMin/godiva/archive/main.zip#godiva-signal-schema

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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