公開されている Claude Code marketplace からの 18 件のプラグインです。それぞれにスキル、スラッシュコマンド、エージェント、フック、MCP サーバーがまとめてインストールされます。
これらのフィルターに一致するプラグインを 18 件表示しています。
claude-code-skillsalirezarezvani/claude-skills1
butterbase-skillsbutterbase-ai/butterbase-skills1
task-pipelinessheleg/task-pipeline1
copilot-primitives-claudegbb-acelerators/awesome-harness-primitives1.claude-plugin/marketplace.json を含むリポジトリを提出すると、すべての plugin を掲載します。
marketplace を提出するCI/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).
ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
End-to-end feature orchestration with testing, security, performance, and deployment
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.
Pre-deployment checks, configuration validation, and deployment readiness assessment
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
Create Kubernetes deployments, services, and configurations with best practices
Quick smoke test suites to verify critical functionality after deployments
Runs a substantial task through a mandatory built-in intake grill, then 10 gated stages (docs, brainstorm+decompose, spec, plan, subagent build, tests, lint/deploy, post-deploy, docs/wiki, acceptance). Every stage's doctrine is built into the skill — no companion plugin required — with typed auto/judgment/manual gates, a frozen requirement spine that closes with evidence, a work board and a verification ledger that outlive a run, an exposure line naming what shipped unconfirmed, a progress rail computed from the project's own config, a proportional short path for small changes, a loop guard whose ceilings stop and record a blocker, and stage-3 tracks for what a product does, how it sounds and how it looks. Two modes need no task: `checkup` (what is unverified) and `setup` (audit existing docs); a third, `waves`, takes the whole board and closes it in waves that each finish in one pass. Retro insights can publish upstream as issues, opt-in and redacted.
developmentOpen Horizons agentic DevOps platform toolkit for Azure, AKS, Backstage, AEG, GitHub, Azure DevOps, Terraform, security, reliability, architecture, and deployment operations. Use it to install specialist agents, reusable skills, safety hooks, MCP integrations, and a safe publisher for repository customizations.
Nineteen skills: impact mapping, outcome proof, production readiness, investigation, project direction, standards, localization, dependency and API-contract decisions, deployment compatibility, system architecture design, project kickoff, delivery planning with any ticket tracker, release engineering, an observability baseline, a committed project knowledge base, and an empathy review of how people experience a product or a book, plus an opt-in pipeline that runs them in the order you pick and a delivery lead that works through a project's tickets.
productivityOrchestrate complex multi-stage deployment pipelines
Manage and execute deployment rollbacks with safety checks
Deploy monitoring stacks (Prometheus, Grafana, Datadog)
Sealos agent skills for deploying, configuring, monitoring, and troubleshooting apps on Sealos Cloud from Claude Code. Deploy from the template store, official Docker images, or project source; manage databases, object storage, networking, and logs.
Deploy ML models to production
