8 Plugins aus öffentlichen Claude Code marketplaces. Jedes bündelt Skills, Slash-Commands, Agents, Hooks oder MCP servers, die zusammen installiert werden.
Model technical capacity, unit cost, and budget constraints connected to demand, performance, and reliability decisions. Use when projecting capacity from growth forecasts, sizing for peak events, designing cost-aware scaling policies, defining budget thresholds or quota/rate-limit enforcement, running or planning load/soak tests as capacity evidence, resolving SLO-cost tradeoffs, or modeling multi-tenant demand distributions, hot-tenant skew, pooled or siloed headroom, fairness evidence, and tenant-variable unit cost. Do NOT use for financial P&L statements, fundraising scenarios, or SaaS metrics (route to financial-modeling); for infrastructure implementation or cloud-resource provisioning (route to platform-engineering); or for generic cloud-cost tips and universal utilization targets — this skill does not prescribe fixed savings rates or one-size-fits-all thresholds.
Use this skill to assess, design, and evolve data architectures, including data platforms, data products, data mesh adoption, event-driven data flows, governance, modeling, and migration decisions. Load it when teams need workload-grounded tradeoffs, ownership and quality agreements, or a current-to-target data architecture. Do not use it for pipeline or platform operations, implementation details, interface contract semantics, SQL tuning, or statistical modeling; route those to data-engineering, platform-engineering, api-design-and-evolution, postgres, or data-scientist.
Use this skill when building or operating internal developer platforms: infrastructure as code, CI/CD, container orchestration, service networking, secrets, and observability, or when shaping platform products, self-service interfaces, adoption evidence, and policy guardrails. Do not use it to define release process, promotion, rollout, or rollback policy; use release-engineering for that delivery model. Route named-tool configuration and troubleshooting to the corresponding operational skill, such as kubernetes or traefik for ingress-controller configuration.
Design, automate, and operate end-to-end software releases: release process models and pipelines (trunk-based development, CD stages, release trains), progressive delivery and feature flags, versioning and artifact management (SemVer, conventional commits, changelogs, SBOM/provenance), readiness and quality gates, rollback and recovery planning, change-management and audit compliance (SOC 2, SOX, PCI), DORA metrics, and multi-team release coordination. Do not use for application feature implementation (backend-engineering/frontend-engineering), production incident root-cause debugging or on-call/SLO operations (systematic-debugging / site-reliability-engineering), security implementation or threat modeling (secure-software-engineering), or internal developer platform construction (platform-engineering).
Design, exercise, and evidence graceful degradation, disaster recovery, and restoration behavior across systems and dependencies. Covers failure-mode analysis, RTO/RPO decision records, restore testing, game days, failover drills, data integrity verification, and recovery communication. Do not use for live incident command or incident response; route to site-reliability-engineering for those. Do not use for infrastructure implementation details; route to platform-engineering.
Operate the observability stack that deploys as one unit: Prometheus scrape configuration, recording and alerting rules, relabeling, retention, and high availability; OpenTelemetry Collector pipelines (receivers, processors, exporters, sampling, trace/span correlation); and Loki ingest, LogQL, retention, and label design — with a bundled read-only telemetry-check script for Prometheus rule sanity and scrape-target reachability. Use when running, tuning, or troubleshooting a Prometheus, OpenTelemetry Collector, or Loki deployment, or reviewing the collection/ingest/retention layer, including bounded PromQL and LogQL query construction, semantic review, and no-data diagnosis. Do not use for observability strategy, SLI/SLO design, or paging policy (that is platform-engineering), Grafana dashboards, panels, and Grafana-side alerting (that is grafana), or Tempo/tracing operations, which remain deferred to a future named-tool skill.
Operate Terraform and OpenTofu across the whole infrastructure lifecycle: module structure, state backends and locking, plan/apply workflow, drift detection, remote state, upgrade and refactor flows, and evidence-based diagnostics. Use when running or inspecting terraform plans, applies, state files, imports, or state surgery, or when the bundled tfops script should handle the task. Do not use for IaC methodology or cloud design decisions - those route up to platform-engineering.
Operate Vite projects: inspect versions and configuration, run bounded development and production builds, diagnose dependency and asset failures, and configure environment-aware frontend delivery. Use when a task names Vite, vite.config, Vite plugins, import.meta.env, dev-server behavior, or Vite build output. Do not use for frontend architecture or visual implementation (route to frontend-engineering), CI/platform provisioning (route to platform-engineering), browser automation (route to playwright), or accessibility design (route to web-accessibility).
