99 плагинов из публичных маркетплейсов Claude Code. Каждый объединяет навыки, слэш-команды, агентов, хуки или MCP server, которые устанавливаются вместе.
Показано 99 плагинов, соответствующих фильтрам.
claude-code-skillsalirezarezvani/claude-skills2
pm-claude-skillsmohitagw15856/pm-claude-skills1
dotnet-agent-skillsdotnet/skills1
agricidaniel-blogAgriciDaniel/claude-blog1Отправьте репозиторий с .claude-plugin/marketplace.json, и мы перечислим каждый плагин.
Отправить marketplaceCloud 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.
Open-source investment research terminal integration - comprehensive equity analysis, crypto tracking, macro indicators, portfolio optimization, and AI-powered financial insights using OpenBB Platform
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.
Database query optimization, cloud cost optimization, and scalability improvements
Comprehensive MSBuild and .NET build skills: failure diagnosis, performance optimization, code quality, and modernization.
Application profiling, performance optimization, and observability for frontend and backend systems
Technical SEO optimization including meta tags, keywords, structure, and featured snippets
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.
Interactive debugging, developer experience optimization, and smart debugging workflows
Team workflows, issue management, standup automation, and developer experience optimization
Multi-agent system optimization, agent improvement workflows, and context management
Database architecture, schema design, and SQL optimization for production systems
SEO content writing, planning, and quality auditing with E-E-A-T optimization
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.
