JNZader-Vault avatar

JNZader-Vault

Official

@jnzader-vault

0Followers
|
41Public Repos
|
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
JNZader-VaultJNZader-Vault

langchain

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

Official
Advanced
JNZader-VaultJNZader-Vault

analytics-spring

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

Official
Advanced
JNZader-VaultJNZader-Vault

mlflow

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

Official
Advanced
JNZader-VaultJNZader-Vault

analytics-concepts

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

Official
Basic
JNZader-VaultJNZader-Vault

powerbi

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

Official
Advanced
JNZader-VaultJNZader-Vault

ai-ml

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

Official
Advanced
JNZader-VaultJNZader-Vault

onnx-inference

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

Official
Advanced
JNZader-VaultJNZader-Vault

vector-db

Create and query vector databases for RAG and semantic search.

Official
Advanced
JNZader-VaultJNZader-Vault

pytorch

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

Official
Advanced
JNZader-VaultJNZader-Vault

duckdb-analytics

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

Official
Advanced
JNZader-VaultJNZader-Vault

scikit-learn

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

Official
Advanced
JNZader-VaultJNZader-Vault

mqtt-rumqttc

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

Official
Intermediate
JNZader-VaultJNZader-Vault

tokio-async

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

Official
Intermediate
JNZader-VaultJNZader-Vault

modbus-protocol

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

Official
Advanced
JNZader-VaultJNZader-Vault

rust-systems

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

Official
Advanced
JNZader-VaultJNZader-Vault

redis-cache

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

Official
Advanced
JNZader-VaultJNZader-Vault

sqlite-embedded

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

Official
Advanced
JNZader-VaultJNZader-Vault

pgx-postgres

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

Official
Advanced
JNZader-VaultJNZader-Vault

graph-spring

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

Official
Advanced
JNZader-VaultJNZader-Vault

timescaledb

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

Official
Advanced
JNZader-VaultJNZader-Vault

graph-databases

Explain graph database concepts with Cypher and Gremlin query examples.

Official
Intermediate
JNZader-VaultJNZader-Vault

frontend-web

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

Official
Advanced
JNZader-VaultJNZader-Vault

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.