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JNZader-Vault

Official

@jnzader-vault

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41Public Repos
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85Published Skills

Offers comprehensive architectural patterns for backend systems, distributed services, and full-stack development across Java, Go, and Rust ecosystems.

Skills Distribution
DomainDeveloper To...Backend Engineering (40%)Systems Programming (25%)Full-Stack Develop.. (20%)Infrastructure & O.. (15%)

Agent Skills by JNZader-Vault

Showing 85 vetted skills indexed across 1 GitHub repositories.

JNZader-VaultJNZader-Vault

prompt-improver

Analyze, research, question, and execute ambiguous user prompts.

Official
Intermediate
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langchain

Build LLM chains, agents, and RAG systems with LangChain and LangGraph.

Official
Advanced
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analytics-spring

Track analytics events across GA4, Mixpanel, Amplitude, and Segment in Spring Boot.

Official
Advanced
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mlflow

Manage ML experiments, model registries, and deployments using MLflow.

Official
Advanced
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analytics-concepts

Explain product analytics concepts including event tracking, funnels, and cohorts.

Official
Basic
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powerbi

Develop Power BI solutions with DAX measures, Power Query transformations, and dashboard designs.

Official
Advanced
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ai-ml

Build FastAPI AI/ML services with LangChain and ONNX model export.

Official
Advanced
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onnx-inference

Deploys ML models across Python, Rust, and Go using ONNX Runtime with quantization and graph transformations for edge scenarios.

Official
Advanced
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vector-db

Create and query vector databases for RAG and semantic search.

Official
Advanced
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pytorch

Trains PyTorch and Lightning autoencoder and Transformer models for sensor data analysis and forecasting.

Official
Advanced
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duckdb-analytics

Query Parquet files and S3 data lakes with DuckDB for OLAP analytics.

Official
Advanced
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scikit-learn

Implement classical machine learning algorithms for tabular data with scikit-learn.

Official
Advanced
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mqtt-rumqttc

Implement MQTT pub/sub, QoS, and LWT patterns in Rust with rumqttc.

Official
Intermediate
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tokio-async

Implement asynchronous Rust patterns with Tokio for concurrency and inter-task communication.

Official
Intermediate
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modbus-protocol

Implement Modbus protocol in Rust, Go, and Python for PLC data exchange.

Official
Advanced
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rust-systems

Build Rust edge systems with Tokio, Modbus, MQTT, and Axum.

Official
Advanced
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redis-cache

Implement Redis caching, sessions, pub/sub, rate limiting, and distributed locks.

Official
Advanced
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sqlite-embedded

Provide embedded SQLite storage with sync queue patterns for offline-first applications.

Official
Advanced
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pgx-postgres

Implement Go PostgreSQL patterns with pgx v5 for pooling, transactions, and multi-tenancy.

Official
Advanced
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graph-spring

Integrate Spring Boot applications with Neo4j, AWS Neptune, and ArangoDB graph databases.

Official
Advanced
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timescaledb

Set up and query TimescaleDB hypertables with continuous aggregates and compression.

Official
Advanced
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graph-databases

Explain graph database concepts with Cypher and Gremlin query examples.

Official
Intermediate
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frontend-web

Create Astro projects with React, Mantine UI, and TanStack Query.

Official
Advanced
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zod-validation

Validate TypeScript data structures at runtime using Zod schemas.

Official
Intermediate

Frequently Asked Questions About JNZader-Vault

FAQPage Schema
What specific backend architectures are supported by JNZader-Vault?

The registry provides patterns for Spring Boot 4.0, Go-based microservices using Chi, and asynchronous FastAPI services. It includes specialized guidance for GraphQL implementations, gRPC service configuration, and Backend-for-Frontend (BFF) patterns to optimize client-specific data delivery.

Which programming languages and runtimes are covered?

The manifest focuses on Java 21+ for enterprise Spring Boot, Go for high-performance backend services, and Rust for systems-level edge development. It also supports TypeScript for frontend interfaces using React, Astro, and Mantine UI components.

How are observability and reliability integrated into these services?

Reliability is managed through OpenTelemetry for distributed tracing, chaos engineering experiments for fault injection, and standardized RFC 7807 error handling. Infrastructure support includes Docker multi-stage builds, Kubernetes manifest management, and Traefik reverse proxy configurations.