Claude Code 플러그인
공개 Claude Code 마켓플레이스의 플러그인 71개입니다. 각 플러그인은 함께 설치되는 스킬, 슬래시 명령, 에이전트, 훅 또는 MCP 서버를 묶습니다.
필터와 일치하는 71개의 플러그인을 표시합니다. 필터 초기화
Cloud architecture design for AWS/Azure/GCP/OCI, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization
Essential developer skills including Git workflows, SQL optimization, error handling, code review, E2E testing, authentication, debugging, and monorepo management
Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub-init, /agenthub:spawn, /hub-status, /agenthub:eval, /agenthub:merge, /agenthub:board, /hub-run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.
Complete Vercel integration skill pack with 30 skills covering deployments, edge functions, preview environments, performance optimization, and production operations. Flagship+ tier vendor pack.
Complete OpenRouter integration skill pack with 30 skills covering LLM routing, model selection, cost optimization, and multi-provider orchestration. Flagship+ tier vendor pack.
Growth & marketing skills: Marketing Funnel Plan, Lifecycle/CRM Plan, Paid Acquisition Plan, Growth Experiment Backlog, Retention Loop Design, Referral Program Design, Messaging Framework, and Conversion Rate Optimization.
Comprehensive MSBuild and .NET build skills: failure diagnosis, performance optimization, code quality, and modernization.
AI-powered blog creation, optimization, and management with 32 skill directories (1 orchestrator + 31 sub-skills), 5 agents, FLOW framework integration, semantic topic-cluster execution, multilingual publishing, brand and discourse context auto-load, and 5-category scoring. Optimized for Google rankings and AI citations.
Database architecture, schema design, and SQL optimization for production systems
Claude SEO Skills for the SE Ranking MCP server. Keyword research, content briefing, page intelligence, technical and content audits, structured data, drift monitoring, SXO diagnostics, competitive analysis, paid search, AI-search optimization, sitemap analysis, subdomain mapping, content opportunity mining, strategic roadmap planning, local SEO (GBP / NAP / local pack), international SEO (hreflang validation), Google APIs (GSC, PSI, CrUX, Indexing, GA4, YouTube, NLP), and SE Ranking API integration recipes (Data API + Project API).
seoKnowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs-spinning-up-deep-rl. Structured study notes, not a reproduction of the source.
Redis development best practices — data structures, Redis Search (lexical + vector + hybrid retrieval), caching, and performance optimization, plus Redis Iris (Agent Memory, Agent Playbooks, Context Gateway, Intent Router, Lens), and live lookup of the official redis.io documentation.
Model architectures, tokenization, fine-tuning, post-training, distributed training, optimization.
research
Marketing and conversion optimization skills including CRO methodology, StoryBrand messaging, Scorecard Marketing lead generation, viral marketing (Contagious), and 1-Page Marketing Plan
Token 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
Add Arize AX observability to LLM applications — auto-instrumentation, trace export, dataset management, experiment workflows, prompt optimization, deep linking, and migrations from Langfuse, LangSmith, and Braintrust via the ax CLI.
Docker and container development — Dockerfile optimization, docker-compose orchestration, multi-stage builds, security hardening, and CI/CD container pipelines.
Video content strategy: video scripts, YouTube channel optimization and SEO, short-form video pipelines (Reels, TikTok, Shorts), and repurposing long-form content into video. NOT for written blog content or caption-only social posts (separate skills).
Structured experiment-driven code optimization using tree search and parallel subagents
iOS engineering: networking, security, auth, accessibility, debugging, ETTrace performance, memgraph analysis, diagnostics, linting, and App Store optimization
development