112 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 112 plugins that match these filters.
claude-code-skillsalirezarezvani/claude-skills3
agent-plugins-for-awsawslabs/agent-plugins3
butterbase-skillsbutterbase-ai/butterbase-skills1
azure-skillsmicrosoft/azure-skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceCI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration
Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).
Complete Vercel integration skill pack with 30 skills covering deployments, edge functions, preview environments, performance optimization, and production operations. Flagship+ tier vendor pack.
Complete Groq integration skill pack with 24 skills covering LPU inference, ultra-fast AI, and Groq Cloud deployment. Flagship tier vendor pack.
ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
Design, build, deploy, test, and debug serverless applications with AWS Serverless services.
Build full-stack apps with Butterbase — AI-Native Backend-as-a-Service. Skills for app creation, schema design, frontend deployment, RLS debugging, serverless functions, and contributing.
Microsoft Azure MCP and Skills integration for cloud resource management, deployments, and Azure services. Manage your Azure infrastructure, monitor applications, and deploy resources directly from your development environment.
Twelve KDD-specific skills covering data-mining conference strategy across both submission cycles: track selection, sigconf submission, rebuttal, Resubmit handling, deployment evidence, and ACM proceedings publication, grounded in official KDD 2026 CFPs and OpenReview groups.
academicGuides developers from brand discovery through iterative design to deployment-ready HTML via Stitch.
Helm chart development — chart scaffolding, values design, template patterns, dependency management, and Kubernetes deployment strategies.
EU AI Act (Regulation (EU) 2024/1689) operational compliance specialist: AI system risk classifier (Articles 5/6/50 + Annex III), conformity assessment planner (Article 43 + Annex IV checklist), and obligation tracker (provider/deployer/importer/distributor + GPAI Articles 51-55). Article-level references and cross-framework mapping to ISO 42001, NIST AI RMF, GDPR. Stdlib-only.
Deploy applications to AWS with architecture recommendations, cost estimates, and IaC deployment. Generate validated AWS architecture diagrams as draw.io XML.
9 short commands (/setup, /list, /trans, /note, /wiki, /add, /page, /cheatsheet, /ralphtrans) for Tongji Look lecture transcription, supplementary material ingestion, course wiki generation, and GitHub Pages deployment.
educationGABBE ops skills (30): operations: deployment, environments, observability, incidents, performance, cost and release management.
GitHub Actions CI/CD workflows for Google Cloud and Vertex AI deployments
Forge-focused skills and MCP configuration for Atlassian Forge: scaffold and deploy apps (forge create, templates, dev spaces), build Teamwork Graph connectors for Rovo Search/Rovo Chat, pre-deploy review, systematic debugging, plus Forge docs and Atlassian Design System lookups via MCP.
developer-tools
Build, evaluate, deploy, publish, and migrate Google ADK applications with Google's maintained agents-cli workflow for Agent Runtime, Cloud Run, GKE, and Gemini Enterprise.
Manage environment configurations and secrets across deployments
