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HZeroxium AI Skills

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Explorez les skills IA publiés de HZeroxium et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

30

Étoiles des dépôts des skills indexés

0

Forks du dépôt

30

Moyenne des étoiles par skill indexé

0

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

30 skills

Explorer

GitHub

java-jdbc-performance

HZeroxium

JDBC performance playbook: connection pool sanity, batching, fetch size, statement tuning, and measurement. Produces measurable changes + benchmark guidance.

GitHub

java-sql-schema-migrations

HZeroxium

Flyway/Liquibase-agnostic database migration strategy for backward-compatible, zero-downtime schema changes using expand/contract. Includes rollout plan, safety checks, and verification steps.

GitHub

java-jpa-transaction-patterns

HZeroxium

Transaction boundary and JPA/Hibernate usage patterns to prevent data bugs and performance issues (lazy loading pitfalls, N+1, locking). Includes checklists, code patterns, and regression tests.

GitHub

java-cache-redis

HZeroxium

Redis caching playbook (cache-aside/read-through/write-through), TTL strategy, cache stampede protection, and invalidation/versioning. Produces cache key spec + invalidation strategy.

GitHub

java-api-design-rest

HZeroxium

Design REST APIs with strong resource modeling, pagination, filtering, error model, and versioning; produce an OpenAPI draft and controller/service contracts. Use when adding new endpoints or redesigning existi...

GitHub

java-gc-tuning

HZeroxium

A disciplined GC analysis and tuning workflow for Java (G1/ZGC): symptoms triage, evidence capture (GC logs/JFR/heap), heap sizing, allocation hotspot reduction, and safe rollout. Use when GC pauses, OOMs, or s...

GitHub

java-performance-profiling

HZeroxium

A reproducible Java performance profiling workflow using JFR and async-profiler concepts: capture evidence (CPU/alloc/locks), analyze flamegraphs, form hypotheses, ship fixes, and verify regressions. Use when C...

GitHub

java-security-audit

HZeroxium

Perform a defensive security audit for Java backend services: input validation, SSRF, deserialization risks, secrets hygiene, and authz correctness. Use before release, after incidents, or during pen-test remed...

GitHub

java-messaging-kafka

HZeroxium

Kafka producer/consumer patterns with at-least-once semantics, DLQ topics, and schema evolution. Use when building event-driven features or diagnosing lag/dup/replay issues.

GitHub

java-grpc

HZeroxium

gRPC service design and evolution with proto conventions, deadlines/timeouts, status/error mapping, and streaming guidelines. Use when you need internal RPC performance or stable contracts.

GitHub

java-concurrency-threads-virtual

HZeroxium

Choose and implement the right concurrency model in Java (thread pools vs virtual threads), including throughput/latency trade-offs, blocking I/O, backpressure, cancellation, and measurement. Use when tuning th...

GitHub

java-contract-testing

HZeroxium

Establish contract testing (OpenAPI + consumer-driven contracts) with compatibility gates to prevent breaking changes in microservices. Use when API evolution risks breaking consumers or when you need CI enforc...

GitHub

java-outbox-idempotency

HZeroxium

Transactional Outbox + idempotency guardrails for practical exactly-once behavior. Use when you see double-publish, inconsistent state, or need reliable integration events.

GitHub

java-messaging-rabbitmq

HZeroxium

RabbitMQ queue patterns with acknowledgements, retries, dead-lettering, and ordering constraints. Use when building job queues, async workers, or diagnosing requeue/poison issues.

GitHub

java-rest-clients-resilience

HZeroxium

Resilient HTTP client playbook: timeouts, retries/backoff+jitter, circuit breakers, bulkheads, and idempotency keys. Produces resilience config + retry matrix and verification tests.

GitHub

java-testing-integration

HZeroxium

Design and implement deterministic integration tests (DB/queue/external IO) using Testcontainers-style thinking, with a fixture strategy and CI-friendly execution. Use when IO/DB bugs, wiring issues, or product...

GitHub

java-testing-unit

HZeroxium

Unit testing patterns with JUnit 5 and Mockito: boundaries, naming, AAA, parameterized tests, and coverage gates. Use when adding features or fixing bugs.

GitHub

java-load-testing

HZeroxium

Create a load test plan and executable scripts (k6/Gatling style) with scenarios, success metrics, and regression gates. Use when investigating perf regressions, sizing capacity, or validating SLOs before relea...

GitHub

java-dependency-audit

HZeroxium

Audit Java dependencies for vulnerabilities, licenses, duplicates, and version conflicts; produce an upgrade plan with pinned versions and risk notes. Use during security review, CVE response, or upgrade sprint...

GitHub

java-authn-authz-jwt

HZeroxium

Design and implement robust JWT-based authentication (AuthN) and authorization (AuthZ): verification, claims validation, key rotation, token lifetimes, and safe error handling. Use when implementing login/permi...

GitHub

java-code-review-playbook

HZeroxium

Apply a production-grade code review checklist for Java backend changes: layering, error handling, security, tests, observability, performance, and maintainability. Use when preparing a PR or reviewing one.

GitHub

java-repo-bootstrap

HZeroxium

Standardize repository layout, module boundaries, naming conventions, and baseline docs for Java backend projects. Use when starting a new project, restructuring an existing repo, or migrating to a mono-repo.

GitHub

java-debugging-prod-incidents

HZeroxium

Production incident debugging playbook for Java services: triage with logs/metrics/traces, safe JVM diagnostics (jcmd/JFR/thread dumps), rollback decision tree, communication, and blameless postmortems. Use dur...

GitHub

java-observability-metrics

HZeroxium

Design and implement service metrics (counters, gauges, timers, histograms) with strict label/cardinality rules and SLO-ready signals. Use when adding KPIs/SLOs, building dashboards, or preventing metrics cardi...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.