Claude Code プラグイン
公開されている Claude Code marketplace からの 81 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 81 件表示しています。
公開されている Claude Code marketplace からの 81 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 81 件表示しています。
.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Install the "AAS Backend & API Platform" editorial skill bundle for Claude Code.
Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development
32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security, incident-response, red-team, threat-detection. v2.8.1 audits senior-fullstack / senior-frontend / senior-backend against karpathy-coder + Matt Pocock — each ships a 7-question forcing-question library, 4 customization profiles (JSON), deterministic decision engine, composition map into POWERFUL specialists, plus cs-fullstack-engineer / cs-frontend-engineer / cs-backend-engineer orchestrator agents (context: fork) + /cs-fullstack-review, /cs-frontend-review, /cs-backend-review, /cs-engineer-grill slash commands.
Content generation, AI backends, and utility tools for daily work efficiency
Autonomous multi-agent development framework with spec-driven sprints. Write specs, run /sprint, and let coordinated agents (backend, frontend, QA, UI testing) handle implementation through self-iterating convergent loops.
REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation
Skills + Subagents for backend development - Use skills for coding guidance, or run recipe workflows for full orchestrated agentic coding with specialized agents
Skills + Subagents for fullstack development (backend + React/TypeScript) - Use skills for coding guidance, or run recipe workflows for full orchestrated agentic coding with specialized agents
Application profiling, performance optimization, and observability for frontend and backend systems
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.
Composable AI skills covering the full software delivery lifecycle — for backend engineers, frontend engineers, QA, BAs, and more. Install once, invoke the skills you need.
API security hardening, authentication implementation, authorization patterns, rate limiting, and input validation
Web scripting with PHP and Ruby for web applications, CMS development, and backend services
Comprehensive .NET backend development with C#, ASP.NET Core, Entity Framework Core, and Dapper for production-grade applications
Schema validation, data quality monitoring, streaming validation pipelines, and input validation for backend APIs
Unified AI-native Vibe Coding plugin: PRD generation, digging analysis, screen-spec (IA / User Flow / Wireframe HTML / Dev Handoff), team-based parallel implementation, quality-gated auto-commit, 20 design styles, frontend (React/Next.js), backend (NestJS/Prisma), mobile (React Native/Expo), AI integration (STT/LLM), DevOps (Docker/CI-CD). 11 agents, 5 commands, 8 skills, team knowledge wiki (auto-collect + recall for WIGTN repos).
Reverse-engineer any codebase into a complete PRD. Frontend (React, Vue, Angular, Next.js), backend (NestJS, Django, Express, FastAPI), and fullstack. 2 Python scripts (codebase_analyzer, prd_scaffolder), 2 reference guides, /code-to-prd slash command.
Backend: APIs, databases, GraphQL, auth, payments, realtime, serverless, microservices. 26 skills.
Implement TypeScript, Python, Go, Rust, native apps, APIs and terminal workflows.
CLI toolbox for Observability-Driven Development (ODD): coding agents observe local runs on an OpenTelemetry/Grafana stack - or remote ones on any OpenTelemetry backend - and feed the next spec-driven improvement loop.
observability