Claude Skills by hamzabellouch

Production-grade Spring Boot 3.3+ architecture with Java 21, Project Loom virtual threads, layered architecture (Controller, Service, Repository, DTO), Spring Data JPA, connection pooling with HikariCP, transactional integrity, RFC 7807 ProblemDetails exception handling, and Micrometer observability. Trigger when building enterprise Java microservices or refactoring Spring Boot architectures.

Implement carbon footprint calculation engines and sustainability reporting according to the Greenhouse Gas (GHG) Protocol Corporate Standard. Calculate Scope 1 (direct fuel combustion, mobile emissions), Scope 2 (market-based and location-based electricity grids via eGRID/DEFRA factors), and Scope 3 (value chain, travel, procurement). Trigger when building ESG compliance software, carbon calculators, or corporate sustainability ledgers.

Ingest, process, and analyze smart grid IoT telemetry from renewable energy sources (Solar PV, Wind), Battery Energy Storage Systems (BESS), and industrial energy meters. Bridge Modbus TCP and IEC 61850 data packets, monitor real-time electrical metrics (Active/Reactive Power, Total Harmonic Distortion, Power Factor), and calculate state-of-charge (SoC). Trigger when building smart grid software, renewable energy monitoring, or microgrid energy control.

Engineering patterns for GDPR, CCPA/CPRA, and global data privacy compliance. Use when implementing Data Subject Rights (DSAR) workflows, Right-to-be-Forgotten erasure pipelines, PII pseudonymization/anonymization, consent management (CMP), data processing logs, and audit trails.

Best practices for implementing SOC 2 Type II compliance controls, continuous evidence collection, infrastructure policy-as-code, and automated security monitoring. Use when automating Trust Services Criteria (Security, Availability, Confidentiality, Processing Integrity, Privacy), audit logging, IAM least privilege, or CI/CD security gates.

Implement production-grade computer vision pipelines using OpenCV (C++ and Python) with CUDA acceleration. Triggers when processing real-time multi-threaded RTSP camera streams, zero-copy memory transfers, image pre-processing, contour analysis, optical flow tracking, feature detection/matching (ORB, SIFT), camera calibration, or 3D spatial pose estimation (PnP).

Deploy state-of-the-art YOLO models (YOLOv8, YOLOv10, YOLO11) for real-time object detection, instance segmentation, and pose estimation. Triggers when training custom YOLO models, exporting to TensorRT FP16/INT8, running ONNX Runtime inference, executing ByteTrack multi-object tracking, or building high-throughput FastAPI/Triton inference services.

Master production Docker multi-stage builds, container image layer caching, security hardening, non-root user execution, distroless images, and minimal footprint optimizations. Trigger when building Dockerfiles, optimizing image size, or hardening container runtime security.

Master enterprise Kubernetes Helm chart creation, templating, values schema validation, dry-run testing, releases, and rollback management. Trigger when writing Helm charts, configuring K8s deployments, or managing cloud-native releases.

Automate customer service ticket sentiment analysis, churn risk detection, and intelligent escalation using LLM embeddings and classification pipelines. Extract customer emotional valence, urgency scores, dissatisfaction root causes, and trigger automated manager escalations or CSAT recovery playbooks. Trigger when building sentiment triage, churn prevention, or automated customer support feedback loops.

Architect automated omnichannel helpdesk routing and SLA lifecycle engines across email, chat, SMS, and webhooks. Integrate with ticketing systems (Zendesk, Freshdesk, Jira Service Management), enforce strict SLA tier policies (response time, resolution time), implement skill-based agent routing, and manage ticket state machines. Trigger when building customer service backends, routing algorithms, or support automation systems.

Production Application Security (AppSec) standards, OWASP Top 10 vulnerability remediation, SAST/DAST pipeline integration, secure code review, threat modeling, and defensive security posture.

Production malware analysis workflows, reverse engineering methodologies, isolated sandbox triage, static/dynamic binary analysis, memory forensics, and YARA detection rule authoring.

Enterprise Apache Airflow 2.x DAG authoring, TaskFlow API, deferrable operators, idempotent execution models, and production workflow orchestration.

Production-grade dbt (data build tool) engineering, modular data modeling, incremental materializations, testing strategies, and macro development.

High-performance in-process analytics using DuckDB and Polars, zero-copy Apache Arrow integration, lazy evaluation, SIMD vectorized processing, and out-of-core data pipelines.

Master production PySpark and Apache Spark analytics, distributed data pipelines, Delta Lake/Iceberg optimization, memory management, and skew resolution.

Establish production-grade reproducible research workflows in Jupyter notebooks, kernel environment lockfiles, notebook linting, nbconvert automated execution, parameterization with Papermill, and modularized code extraction. Trigger when creating Jupyter notebooks, setting up data science project structures, or building automated notebook pipelines.

Master high-performance exploratory data analysis (EDA) using Pandas and Polars, missing value profiling, outlier detection, data distribution analysis, correlation matrices, and vectorised pipelines. Trigger when performing EDA, data cleaning, or memory-efficient tabular analysis in Python.

Advanced Amazon DynamoDB Single-Table Design patterns, access pattern modeling, Partition Key (PK) and Sort Key (SK) strategies, Global Secondary Indexes (GSIs), sparse indexes, and transactions. Use when designing high-scale DynamoDB data layers.

Production-grade MongoDB schema design patterns, indexing strategies, ESR rule (Equality, Sort, Range), aggregation framework optimization, and sharding/partitioning architectures. Use when designing MongoDB schemas, tuning query performance, or building aggregation pipelines.

Best practices for Prisma ORM schema design, high-performance query optimization, preventing N+1 problems, zero-downtime database migrations, connection pooling, and multi-tenant data modeling. Use when building Node.js/TypeScript applications with Prisma.

Architecting high-performance caching strategies, Cache-Aside/Write-Through/Write-Behind patterns, Redis Pub/Sub, Streams, eviction policies, distributed locking (Redlock), and memory optimization. Use when implementing Redis caching, real-time messaging, rate limiting, or session management.

Production architectural patterns, MVVM clean architecture, async thread synchronization, high-performance UI rendering, native interop, and memory optimization for enterprise Windows and cross-platform desktop applications using WPF, .NET MAUI, and Windows App SDK.

Production architecture, multi-process IPC security, V8 memory management, native node modules, window lifecycle optimization, and cross-platform desktop execution using Electron. Use when building, hardening, or tuning performance for enterprise Electron apps across Windows, macOS, and Linux.

Architectural patterns, security IPC, performance optimization, native integration, and production best practices for building cross-platform desktop applications using Tauri (v2) and Rust with modern web frontends (React, Svelte, Vue). Use when designing, building, or optimizing Tauri desktop apps.

Enterprise secrets lifecycle management pattern using HashiCorp Vault. Enforces Zero-Trust access controls, dynamic database credential leasing, secret rotation engines, AppRole/Kubernetes authentication, and Vault Agent sidecar injection.

Industrialized DevSecOps pipeline integration combining Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), Software Composition Analysis (SCA), and Secret Scanning with automated vulnerability thresholds and SARIF reporting.

Comprehensive framework for software supply chain security incorporating Software Bill of Materials (SBOM) generation/validation, SLSA (Supply-chain Levels for Software Artifacts) provenance compliance, image signing with Cosign/Sigstore, and automated pipeline verification.

Production DICOM medical imaging standards, DICOMweb RESTful services (WADO-RS, STOW-RS, QIDO-RS), PACS integration, anonymization/de-identification, and Cornerstone.js web rendering.

Production-grade FHIR R4/R5 data modeling, HL7 v2 message parsing, SMART on FHIR authorization, HIPAA-compliant patient record exchange, and HAPI FHIR integration.

Shopify theme development with Liquid syntax, custom storefront App Extensions, Admin GraphQL API integrations, Webhooks processing, and Storefront API patterns.

WooCommerce REST API integration, webhook-driven order payment processing, inventory reconciliation, custom payment gateway integration, and Action Scheduler job queues.

Integrate educational applications with major LMS platforms (Canvas LMS, Moodle, Blackboard) using the IMS Global LTI 1.3 / LTI Advantage standard and REST APIs. Implement LTI launch security, Names and Role Provisioning Services (NRPS roster sync), Assignment and Grade Services (AGS gradebook writeback), and Deep Linking. Trigger when connecting third-party tools into university LMS platforms.

Implement e-learning interoperability standards including SCORM 1.2, SCORM 2004, Experience API (xAPI / Tin Can), and CMI5. Author compliant imsmanifest.xml packages, handle browser-to-LMS SCORM JavaScript API communication (LMSInitialize, LMSSetValue, cmi.core.lesson_status), emit xAPI Actor-Verb-Object statements, and synchronize with Learning Record Stores (LRS). Trigger when building e-learning courses, LMS integrations, or training tracking modules.

Guidance for production-grade ESP32 Arduino and Embedded C/C++ development. Use when building firmware for ESP32, ESP32-S3, or ESP32-C3 microcontrollers, optimizing FreeRTOS tasks, managing SRAM/PSRAM, writing ISR-safe code, or handling dual-core concurrency and hardware peripherals.

Architectural and implementation standards for MQTT, MQTT-SN, CoAP, and IoT edge protocols. Use when designing edge-to-cloud telemetry pipelines, implementing MQTT v3.1.1/v5.0 clients, handling QoS levels, KeepAlive, Last Will and Testament (LWT), network reconnections, TLS security, and payload serialization (Protobuf, CBOR, JSON).

Production-grade embedded Rust guidelines for Raspberry Pi (bare-metal no_std and Linux embedded std/rppal/embedded-hal). Use when developing low-latency hardware control apps, embedded Rust drivers, Linux GPIO/SPI/I2C/UART software, real-time interrupt handlers, and memory-safe hardware abstractions.

HubSpot CRM API v3 development, OAuth2 authentication, Custom Objects API, Batch CRM sync operations, Webhook subscriptions, and API rate limit management.

Enterprise Salesforce development patterns, Apex triggers architecture, Lightning Web Components (LWC), SOQL query optimization, security bulkification, and Salesforce REST/SOAP APIs.

Production-grade guidance for Apache Kafka event streaming, partition strategies, consumer group management, transactional messaging, and Confluent Schema Registry integration (Avro/Protobuf/JSON Schema). Use when designing Kafka topics, configuring producers/consumers for idempotency and ordering, enforcing schema evolution policies, or implementing dead-letter queues.

Designing resilient, eventual-consistency distributed transactions using the Saga Pattern (Choreography and Orchestration). Includes Outbox Pattern, Change Data Capture (CDC), idempotent consumers, compensating transactions, dual-write prevention, and saga recovery mechanisms. Use when implementing distributed multi-service workflows without two-phase commit (2PC).

Architecting high-availability RabbitMQ messaging systems, exchange topologies (direct, fanout, topic, headers, consistent-hash), AMQP protocol patterns, prefetch tuning, publisher confirms, consumer acknowledgements, Quorum Queues, and dead-lettering. Use when implementing AMQP queue-based routing, work queues, RPC over messaging, or resilient message delivery.

Master high-frequency FIX (Financial Information eXchange) protocol messaging (FIX 4.2/4.4/5.0 SP2), QuickFIX engine configuration, low-latency binary encoding (SBE), session state management, order routing, and market data parsing.

Architect enterprise Open Banking platforms, PSD2/PSD3 compliant APIs, financial message modeling in ISO 20022 (pacs.008, camt.053, pain.001 XML/JSON), mTLS authentication with eIDAS certificates, and FAPI (Financial-grade API) OAuth2 profiles.

Architect and implement secure, PCI-DSS compliant payment processing integrations with Stripe and Adyen, featuring idempotent webhook handling, tokenization, multi-currency processing, automatic retries, and ledger-based reconciliation.

Enterprise architecture patterns for Godot Engine 4.x using GDScript and C#, Node tree composition, Custom Resources, Signal Bus patterns, Direct Server APIs (PhysicsServer, RenderingServer), memory management, and performance profiling.

Architectural patterns, Data-Oriented Technology Stack (DOTS), Unity ECS, Burst Compiler, C# Job System, memory management, zero-allocation C# patterns, and frame-budget optimization for high-performance Unity game development.

Production guidance for Unreal Engine C++ and Blueprints hybrid architecture, UObject memory management, Unreal Smart Pointers, Gameplay Ability System (GAS), Subsystems, Task Graph multithreading, and performance optimization.

Perform in-browser spatial analysis, GeoJSON feature processing, Turf.js geometric computations (buffers, convex hulls, Voronoi polygons, centroids), and Mapbox GL JS / MapLibre vector tile styling. Trigger when rendering interactive map layers, visualizing spatial datasets, or computing client-side geographic boundaries.