Claude Code plugins
14 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 14 plugins that match these filters.
14 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 14 plugins that match these filters.
Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceToken optimization for every stage of the agent journey: crush tool outputs before they enter context, navigate code by map instead of reading files, diet the output register, budget the window cache-aware, measure everything, and hand off sessions at 5% of transcript size
Implement caching strategies with Redis, CDN, and HTTP headers
PI (Wisdom-in-Action) Engine v10 — zero-question imperatives, ⚡PI-01~05 KV-Cache anchors, scene router, delivery quality gates, four dojos
Optimize caching strategies for improved performance
Database plugin for database-cache-layer
Screen a client, counterparty, payer or corporate against the sanctions lists published by the designating authorities themselves — the UK Sanctions List (FCDO), OFSI, the UN Security Council, the EU consolidated list and OFAC's SDN and non-SDN lists. Use when onboarding, before taking a payment, before completing a transaction, or whenever a name must be checked against sanctions. Produces candidates and provenance, never a clearance: the record names every list searched with its publication date and count, states what was NOT searched, and ends at a blank decision block. Fails closed — a cache that is missing, damaged, truncated or stale is reported NOT SEARCHED and the process exits non-zero, so nothing can read an incomplete run as clean. Matches across transliteration, diacritics, homoglyphs and initials, because nobody spells a name the way the publisher does. Standard library only; screening opens no network connection.
Journal name abbreviation lookup — ISO 4 + MEDLINE, multi-source cascade (JabRef ~25K journals → AbbrevISO → NLM Catalog), BibTeX field rewrite, batch and NDJSON streaming, agent-native JSON envelope with stable error codes, dry-run on every mutating command, --idempotency-key for replay-safe bib rewrites, and atomic cache rebuild that preserves the old cache on failure
Cache testing across browser, CDN, proxy, application and data-store layers: Redis, CDN purges, Varnish VTC tests, and cache-key collision audits. Covers RFC 9111 HTTP caching, Cloudflare / Fastly / CloudFront purge APIs, browser Cache-Control tests, and cache-coherence patterns with stampede and stale-while-revalidate references. A detector agent (cache-key-collision-detector) finds keys missing a tenant, user or locale discriminator.
backend-distributedApplication-level caching strategies, HTTP caching, cache invalidation, and stampede prevention
Apollo Client GraphQL patterns — normalized cache and type policies, queries, mutations with optimistic updates, pagination, fragments, subscriptions, and Suspense hooks
Next.js App Router patterns (15-16) - file-based routing, Server/Client Components, streaming, Suspense, metadata API, parallel routes, Server Actions, mutations, revalidation, Cache Components
Operate, configure, benchmark, and troubleshoot vLLM inference servers: Docker and Kubernetes deployment, quantization-aware model configuration (tensor parallelism, KV cache), OpenAI-compatible API serving, throughput and latency benchmarking, continuous batching tuning, GPU operation, and upgrade/rollback. Use when deploying or running a vLLM server (vllm serve, vllm/vllm-openai), sizing a model and its KV cache for GPUs, selecting quantization and parallelism, serving via /v1 endpoints, measuring serving throughput or latency, tuning batching, or diagnosing GPU, OOM, or startup failures in a vLLM deployment. Do not use for model training, fine-tuning, evaluation-set design, or engine-selection methodology (that is ml-engineering), or for operating the llama.cpp stack with GGUF models (that is llama-cpp); other inference engines (TGI, Ollama, Triton) are out of scope.
Inference 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.
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.
inference