公開されている Claude Code marketplace からの 31 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 31 件表示しています。
wasp-nestlegioncodeinc/vibe-coding-tools1
methodsmithsajor2000/methodsmith1.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Idiomatic development across C# /.NET, Go, Java/Kotlin, Python, Rust, TypeScript, shell, and web
Development experts for 10 programming languages (Python, TypeScript, JavaScript, Go, Rust, C++, Kotlin, PHP, Lua and Perl), plus FastAPI and Node.js specialists and a refactoring agent.
Implement TypeScript, Python, Go, Rust, native apps, APIs and terminal workflows.
API/interface design and OpenAPI, backend review with integration boundaries, auth/session and authorization, error handling and observability, and Python/FastAPI project review.
Data science and data engineering agents for visualization (D3, Highcharts), notebooks (Jupyter, Google Colab), R, and Python data engineering.
Rigorous methods for statistics, machine learning, and meta-analysis, from question to paper: pre-specified SAPs, statistical and reporting-checklist review, and reproducible R and Python workflows. Every study compounds.
Design and implement IoT and embedded solutions: Arduino and Python Azure IoT Edge modules, smart-city architectures, embedded C engineering, and retro circuit mockups.
Property-based testing with Hypothesis (Python), fast-check (JS/TS), proptest (Rust) and jqwik (JVM): generators, shrinking, and CI integration. Agents (property-based-test-author, vacuous-property-critic) write one property per invariant and flag assume-heavy or always-true properties.
functional-testingPerformance engineering: frontend performance budgets and Core Web Vitals, backend latency, memory and resource profiling, caching, and Python performance.
Generate production-ready FastAPI applications from OpenAPI specifications. Includes project scaffolding, route generation, dependency injection, and Python best practices for async APIs.
Complete toolkit for building Model Context Protocol (MCP) servers in Python using the official SDK with FastMCP. Includes instructions for best practices, a prompt for generating servers, and an expert agent for guidance.
