Genel Claude Code pazaryerlerinden 16 eklenti. Her biri birlikte yüklenen beceriler, eğik çizgi komutları, ajanlar, kancalar veya MCP sunucuları içerir.
Bu filtrelere uyan 16 eklenti gösteriliyor.
cursor-rules-javajabrena/plinth2
claude-code-workflowswshobson/agents1
claude-code-plugins-plusjeremylongshore/tons-of-skills-marketplace1
blogging-skillsRightBlogger/bloggingskills1.claude-plugin/marketplace.json içeren depoyu gönderin, biz de her plugini listeleyelim.
Marketplace gönderMetrics collection, logging infrastructure, distributed tracing, SLO implementation, and monitoring dashboards
Log API requests with structured logging and correlation IDs
Agent skills that write blog content that ranks and doesn't read like AI.
Topology-agnostic semantic memory operations: ingest, lint, query-capture, and structured event logging. Consumers declare a memory topology in their manifest.json; kernel skills read that contract to parameterize behavior.
20 Go skills (each under 225 lines) with progressive disclosure, conditional cross-references, and bundled automation. Covers style, naming, error handling, testing, concurrency, generics, logging, documentation, performance, and more.
All 11 iOS skills: swiftui-mvvm, uikit-mvvm, viper-uikit, tca-swiftui, swift-concurrency, gcd-operations, ios-testing, ios-security, ios-accessibility, ios-localization, ios-logging.
Observability suite — metrics: Prometheus, Grafana Mimir, and Grafana reference for agents querying metrics, writing PromQL, building and fixing dashboards, and reasoning about SLOs, KPIs, and burn-rate alerting, plus the community, air-gapped mimir-distributed Helm upgrade methodology (chart↔app co-pinned ladder, the classic-vs-ingest-storage/Kafka decision, the nginx→gateway rename that silently moves the proxy's DNS name, rollout-operator sequencing and abort levers, per-hop verification, and air-gap image/CRD/egress staging); and logs: the kube-logging logging-operator (16-CRD Fluent Bit→fluentd/syslog-ng pipeline, JSON/CRI parsing, routing, buffers, upgrade floor 6.7.0) plus rancher-logging-exit — the air-gap-first migration off Rancher's frozen bundled rancher-logging chart (CVE-2026-54680, release-secret cutover, CR compatibility); and hardware metrics: snmp-exporter — Prometheus snmp_exporter v0.30.x best practices (generator.yml module curation, the never-walk-a-whole-enterpri
observabilityPino logging, Sentry error tracking, Axiom - structured logging with correlation IDs, error boundaries, performance monitoring, alerting
Pino, Axiom, Sentry installation - one-time project setup for logging and error tracking with source maps upload
Guided implementation of ZenML MLOps best practices including metadata logging, experiment tracking, alerts, schedules and triggers, secrets, streaming events, and Model Control Plane setup
iOS production error observability and logging — os.Logger, crash reporting (Sentry/Crashlytics/PostHog), MetricKit, silent error detection.
Use when you need to apply Java exception handling best practices — including using specific exception types, managing resources with try-with-resources, securing exception messages, preserving error context via exception chaining, validating inputs early with fail-fast principles, handling thread interruption correctly, documenting exceptions with @throws, enforcing logging policy, translating exceptions at API boundaries, managing retries and idempotency, enforcing timeouts, attaching suppressed exceptions, and propagating failures in async/reactive code.
Use when you need to implement or improve Java logging and observability — including selecting SLF4J with Logback/Log4j2, applying proper log levels (ERROR, WARN, INFO, DEBUG, TRACE), parameterized logging, secure logging without sensitive data exposure, environment-specific configuration, log aggregation and monitoring, or validating logging through tests.
OpenTelemetry in Python: declarative SDK setup (experimental file config), API surface and logging bridge, zero-code instrumentation (opentelemetry-distro / opentelemetry-instrument) and contrib catalog, performance tuning, breaking-change audits.
Reviews and writes Swift observability code: unified logging, signposts, MetricKit, crash reporting and symbolication, network telemetry, and production monitoring pipelines
AI 编码会话记录与查询，支持 Obsidian 集成
