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ShubhamManachekar
ShubhamManachekarCOMMUNITY
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disaster-tracking

Ingest, deduplicate, and standardize multi-source disaster data into a uniform event model.

Updated Mar 5, 2026
Search Tags:#real-time#supply-chain#risk-analysis#data-ingestion#disaster#multisource
One-click install
npx skills add https://github.com/ShubhamManachekar/GeoSupply --skill disaster-tracking
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: disaster-tracking
Source: https://github.com/ShubhamManachekar/GeoSupply/tree/main/.agent/skills/disaster-tracking
Command: npx skills add https://github.com/ShubhamManachekar/GeoSupply --skill disaster-tracking

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Disparate disaster intelligence sources generate fragmented, inconsistent data that slow down critical supply chain decisions and risk assessments.

Core Features & Use Cases

  • Ingests and standardizes multi-source disaster data (USGS, NASA EONET, GDACS) into a uniform event model.
  • Deduplicates and normalizes events to avoid duplicates across feeds, providing a single source of truth for alerts and warnings.
  • Supports real-time processing pipelines and downstream consumption by risk analytics and logistics planning.

Quick Start

Ingest real-time disaster feeds and validate events for downstream supply chain risk assessment.

Frequently Asked Questions about disaster-tracking

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

FAQPage Schema
How do I ingest real-time disaster data from multiple sources for supply chain risk assessment?▼

Real-time disaster data ingestion standardizes feeds from USGS, NASA EONET, and GDACS into a uniform event model. It normalizes events to provide a single source of truth for downstream supply chain risk assessment.

Why does my disaster intelligence data contain duplicate events across different feeds?▼

Duplicate disaster events occur because disparate intelligence sources publish overlapping alerts. Downstream de-duplication normalizes multi-source feeds into a standardized DisasterEvent schema, resolving inconsistencies to prevent repeated alerts.

What is a standardized DisasterEvent schema and when do I need it for logistics routing?▼

A standardized DisasterEvent schema is a uniform data model that normalizes fragmented disaster intelligence. You need it for logistics routing and contingency planning when consuming real-time risk feeds to ensure consistent event tracking across global supply chains.

How do I handle error handling and circuit-breaker guards during multi-source disaster data ingestion?▼

Multi-source disaster data ingestion applies robust error handling with circuit-breaker guards to manage feed failures. This prevents pipeline disruption during real-time processing by isolating unstable data sources and maintaining standardized event flow.

Can I use standardized disaster intelligence for contingency planning across global supply chains?▼

Yes, standardized disaster intelligence supports real-time processing pipelines for contingency planning across global supply chains. It ingests, deduplicates, and normalizes multi-source data to enable reliable logistics routing and risk analysis.

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