28 Plugins aus öffentlichen Claude Code marketplaces. Jedes bündelt Skills, Slash-Commands, Agents, Hooks oder MCP servers, die zusammen installiert werden.
Zeige 28 Plugins, die diesen Filtern entsprechen.
claude-code-skillsalirezarezvani/claude-skills2
dotnet-agent-skillsdotnet/skills1
agricidaniel-blogAgriciDaniel/claude-blog1
evo-hq-evoevo-hq/evo1Reiche das repo mit .claude-plugin/marketplace.json ein und wir listen jedes plugin auf.
Marketplace einreichenCloud 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
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
Knowledge 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.
Structured experiment-driven code optimization using tree search and parallel subagents
Advanced mempool analysis for MEV opportunities, pending transaction monitoring, and gas price optimization
Analyze query performance with EXPLAIN plan interpretation, bottleneck identification, and optimization recommendations
Comprehensive Azure cloud development tools including Infrastructure as Code, serverless functions, architecture patterns, and cost optimization for building scalable cloud applications.
Analytics engineering, dbt patterns, BigQuery optimization, data quality, and pipeline workflows.
developer tools
