Claude Code plugins
31 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 31 plugins that match these filters.
31 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 31 plugins that match these filters.
Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplacevLLM operator reference suite — deployment, configuration, quantization, caching, KV, tool parsers, reasoning parsers, chat templates, benchmarking, performance tuning, observability, omni, input modalities, speculative decoding, NVIDIA hardware, and a Gemma 4 31B operating-point serve recipe.
inferenceSecurity find-and-fix loop — adapted (Apache-2.0) from anthropics/defending-code-reference-harness and generalised to all vulnerability classes. Four read/write-only skills (no target-code execution): threat-model (bootstrap from code+CVEs+git-history, or interview an owner via Shostack's four questions, or both -> THREAT_MODEL.md), vuln-scan (static source review, parallel per-focus-area subagents -> VULN-FINDINGS.json), triage (adversarial N-vote verification, 16 false-positive exclusion rules, root-cause dedup, impact-on-asset x exploitability severity with stated deployment conditions, owner routing, checkpoint/resume -> TRIAGE.json), and patch (root-cause candidate diffs + independent reviewer, fix-first priority for deployment-conditional dangerous primitives, never auto-applied -> PATCHES/). The autonomous C/C++ + AddressSanitizer execution pipeline this was extracted from is referenced, not bundled (vuln-scan/HARNESS.md).
securityKubernetes suite — Argo CD application authoring (GitOps Application/ApplicationSet manifests, sync policies, AppProjects), Helm chart authoring, KEDA event-driven autoscaling, Keycloak IAM (Operator + CRDs, realm/client configuration, OIDC/SAML integration, security hardening), OpenShift application packaging, and k8s-components-checker (cross-component compatibility registry for RKE2 community stacks — kubectl/helm/pluto cluster survey, structured verdict + pre-upgrade report wrapper, skill-improver freshen and operator floor-override flows; covers 19 components: RKE2, Rancher, Harvester, Cilium, Tetragon, cert-manager, Kyverno, KEDA, Argo CD, Harbor, Traefik, Rook, Ceph, OpenEBS, GitLab, ECK, Zalando postgres-operator, Grafana Mimir, NVIDIA GPU Operator), plus rancher-upgrade — community Rancher fleet upgrade methodology (KDM downstream support matrix, CAPI→Turtles migration, Fleet, air-gapped upgrade procedure, per-minor 2.11→2.14 runbook), companion to k8s-components-checker. Harv
kubernetesAgent workflow suite — Karpathy-pattern autoresearch (hill-climbing, multi-agent research) and skill-improver (Claude Code skill optimization loop).
ai-workflowObservability 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
observabilityDeveloper tooling suite — BAML (typed LLM functions), Jinja2 templates (HuggingFace chat templates, Ansible), GNU Make best practices, and HuggingFace transformers config/tokenizer preflight (vLLM/sglang engine bridge).
developer-toolsRook-managed Ceph suite — Rook/Ceph upgrade order and version gates, the CVE-2025-30156 AES256K CephX key rotation, the Rook v1.20 ceph-csi-operator move; troubleshooting (mClock-locked recovery, PG states, OSD OOM sizing, restore-quorum, OSD removal, stuck RBD PVCs); performance (mClock NVMe capacity trap, memory sizing, PG autoscaler, networking, Tentacle Fast EC, krbd vs rbd-nbd); and RGW/S3 (SigV4 hardening fallout, AWS SDK checksums, sharding, Rook object CRDs). Squid 19.2 and Tentacle 20.2.
infrastructureOpen WebUI operator suite — REST API administration (v0.10.x: user/group lifecycle, model catalog GitOps via models/sync, config-as-code, SCIM, event webhooks, the 0.10.0 access_control→access_grants break, auth traps), RAG pipeline wiring (HuggingFace embedding + reranker via LiteLLM in front of HuggingFace Text Embeddings Inference; exact wire shapes, LiteLLM ↔ TEI gotchas, TEI configuration cliffs, end-to-end production config; BGE-M3 + BGE-Reranker-v2-m3 worked examples) and multi-pod deployment with WebSockets + Valkey Sentinel at 1000+ user scale (the structural Socket.IO + Redis frame-amplification bug #23733 and the CHAT_RESPONSE_STREAM_DELTA_CHUNK_SIZE mitigation, all multi-pod env vars, custom-model-icon perf history, helm chart gaps, full known-issues catalog with fix status).
ai-workflowInference-API compatibility suite — the three open LLM serving protocols as third-party surfaces: OpenAI Chat Completions + legacy /v1/completions (7 local servers, gateways, 10 cloud compat endpoints, reasoning-field schism, client wire behavior), OpenAI Responses (spec, streaming events, store/previous_response_id semantics, translation), and Anthropic Messages (7 native server implementations, thinking-signature seam, stop_reason divergences, Claude Code/opencode integration). Source-examined at pinned commits with live-verification logs.
inferenceUbuntu Server provisioning suite — the three configuration layers of an unattended on-premise / air-gapped Ubuntu Server LTS 24.04 / 26.04 bring-up: ubuntu-autoinstall (the Subiquity `autoinstall:` v1 schema — identity, storage LVM/ZFS/RAID/encryption, apt mirror + proxy + offline fallback, early/late-commands, NoCloud zero-touch delivery), ubuntu-cloud-init (NoCloud-datasource `#cloud-config` user-data — users, ssh, write_files, runcmd, local apt mirrors, internal-CA ca_certs, seed ISO / SMBIOS serial / `ds=nocloud` cmdline, boot stages, `datasource_list` pinning), and ubuntu-netplan (the `/etc/netplan/*.yaml` v2 network substrate both share — static addressing, bonds, bridges, VLANs, VRFs, policy routing, predictable interface naming, systemd-networkd renderer). The installer's `network:` block is netplan and its `user-data:` block is cloud-config, so the three are designed to be used together.
infrastructureInference KV-cache and transport suite — LMCache multiprocess (MP) standalone-server mode (DaemonSet + Deployment K8s pattern, ZMQ connector, L1 + L2 NIXL/POSIX/GDS/HF3FS/fs/s3/mooncake adapters) and NVIDIA NIXL transfer library (UCX/GDS/Mooncake/libfabric/HF3FS/S3 plugins, agent API, telemetry) used by Dynamo/vLLM/SGLang. Pairs with the vllm-caching skill in the `vllm` suite and sglang-hicache in the `sglang` suite.
inferenceInference host bring-up + tuning suite — Linux/GPU bare-metal host work that sits beneath any inference framework (vLLM, sglang, TensorRT-LLM). Two phases. Bring-up (nvidia-datacenter-bringup): Ubuntu 24.04 LTS from clean OS to gpu-operator cuda-validator passing — B300/B200/H100/A100/L40S/L4 driver + fabricmanager + NVLSM + DOCA-OFED install order, NVIDIA CUDA repo + DOCA repo + air-gap mirror, MOK + DKMS sign-on-build under Secure Boot, Dell PowerEdge XE9780/XE9785 baseboard firmware via iDRAC Redfish DellOemChassis.ExtendedReset, gpu-operator pre-installed-driver-mode integration. Tuning (gpu-host-tuning): read-only snapshot of CPU power state, C-states, NUMA topology, PCIe link state, GPU settings, kernel boot params, sysctl, ulimits, IRQ affinity, container runtime; optional pinned-host↔GPU memcpy bench (torch + numactl); per-lever cheat-sheets to flip settings (governor, EPP, cpuidle, persistence, ECC, hugepages, intel_iommu, NCCL env, tuned-adm profiles, BIOS guidance for Dell X
inferenceLiteLLM proxy operator suite — multi-pod Redis/Valkey coordination (the silent per-pod-fallback failure mode, the 4-way coordination-Redis resolution order incl. the undocumented general_settings.coordination_redis block since v1.93.0, Sentinel/Cluster support matrix with fix versions, per-pod-vs-shared truth table with real staleness bounds, no-op documented knobs, open-issue catalog) and the management REST API (447-path control plane, ~63% undocumented; the four 'empty means unlimited' footguns, budget semantics traps, presence-sensitive updates that trigger spurious enterprise 403s, config-vs-DB precedence, recon-first protocol via GET /routes).
inferenceSGLang operator reference suite — HiCache (three-tier hierarchical prefix cache: GPU HBM → host DRAM → distributed L3 via Mooncake/3FS/NIXL/AIBrix/EIC/SiMM/file/LMCache) and the SGLang Model Gateway (`sgl-model-gateway`, formerly `sgl-router`) — Rust router fronting vLLM/SGLang inference workers on Kubernetes with cache-aware/prefix-hash/consistent-hash routing, K8s label-selector service discovery, PD-disaggregation, and `--enable-mesh` CRDT sync between gateway replicas. Pairs with the `vllm` suite for vLLM-side reference and `inference-cache` for engine-agnostic KV-cache transport.
inferenceVet an open-source product for air-gap readiness BEFORE adoption
Structured live troubleshooting for deviation problems: something worked (or should work) and now doesn't, and the cause is unknown
Run Claude Code headlessly as an isolated CI harness against any Anthropic Messages-compatible endpoint (local engine, gateway or hosted API) or a Claude subscription token
Advise on USING Confluence well, not operating it: make the structural call
Advise on USING Jira well, not operating it: make the structural call
Install, configure, secure, and troubleshoot the mcp-atlassian MCP server (sooperset/mcp-atlassian) that connects an agent to Jira/Confluence