Can I use it for historical data management?

Yes, it includes a Parquet Backfill expert that handles GCS verification, K8s Jobs for data regeneration, and stream mapping.

Does ssmdstorm handle infrastructure deployment?

Yes, it features experts for Harman OMS K8s deployment and can be paired with varlab-ops for comprehensive cloud infrastructure management.

What is the primary purpose of ssmdstorm?

SSMDStorm is designed to handle specialized tasks within the ssmd market data system, such as managing connectors, NATS pipelines, and exchange-specific metadata.

Which exchanges are supported by this skill?

It includes specific domain agents for Kalshi (prediction markets), Kraken Futures (crypto), and Polymarket.

How does it ensure data quality?

The skill includes a Data Quality expert that performs NATS vs. API reconciliation and uses Python tools for trade verification and match rate analysis.

SSMD Market Data Orchestrator

Name: SSMD Market Data Orchestrator
Author: aaronwald

byaaronwald

•

API 개발

Orchestrates complex market data pipeline tasks using specialized agents for exchanges, connectors, and trading APIs.

SSMDStorm is a sophisticated multi-agent orchestration skill designed for the ssmd market data ecosystem. It extends the waldstorm framework by introducing domain-specific experts for market metadata management (Secmaster), WebSocket connectors, NATS stream sharding, and trading API integration. It is particularly effective for developers working on high-frequency data pipelines, order management systems (Harman OMS), and cross-exchange symbology mapping, providing a comprehensive toolkit for managing the end-to-end lifecycle of financial market data within Kubernetes-native environments.

주요 기능

01Large-scale Parquet backfill and GCS data verification tools

02Multi-agent orchestration for specialized financial data domains

03Streamlined Harman OMS deployment and integration testing

04Automated NATS pipeline management and data quality reconciliation

05Deep domain expertise for Kalshi, Kraken, and Polymarket exchanges

061 GitHub stars

사용 사례

01Managing complex market metadata synchronization between SQL, Redis, and CDC pipelines

02Building and deploying new real-time exchange connectors and WebSocket listeners

03Executing end-to-end infrastructure deployments for trading systems using Flux and K8s

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add aaronwald/dlawskillz ssmdstorm

For use in Claude.ai and ChatGPT

Download Skill