Browse Plugins & Marketplaces

Claude Agent SDK Development Plugin

Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification

Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review

Security reminder hook that warns about potential security issues when editing files, including command injection, XSS, and unsafe code patterns

A task management system for ambitious AI-driven development that doesn't overwhelm and confuse Cursor.

Repomix MCP server for AI-powered codebase analysis. Pack local/remote repositories, search outputs, and read files with built-in security scanning. Foundation plugin that enables all Repomix features in Claude Code.

Slash commands for quick Repomix operations. Pack local and remote repositories with simple commands like /pack-local and /pack-remote.

Production-grade Bash scripting with defensive programming, POSIX compliance, and comprehensive testing

WCAG accessibility auditing, compliance validation, UI testing for screen readers, keyboard navigation, and inclusive design

Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices

JavaScript and TypeScript development with ES6+, Node.js, React, and modern web frameworks

Systems programming with Rust, Go, C, and C++ for performance-critical and low-level development

JVM language development including Java, Scala, and C# with enterprise patterns and frameworks

Web scripting with PHP and Ruby for web applications, CMS development, and backend services

Functional programming with Elixir, OTP patterns, Phoenix framework, and distributed systems

ARM Cortex-M firmware development for Teensy, STM32, nRF52, and SAMD with peripheral drivers and memory safety patterns

AI-powered architectural review and code quality analysis

Documentation generation, code explanation, and technical writing with automated doc generation and tutorial creation

Interactive debugging, developer experience optimization, and smart debugging workflows

Git workflow automation, pull request enhancement, and team onboarding processes

Backend API design, GraphQL architecture, and test-driven backend development

Frontend UI development and mobile application implementation across platforms

End-to-end feature orchestration with testing, security, performance, and deployment

Unit and integration test automation for Python and JavaScript with debugging support

Test-driven development methodology with red-green-refactor cycles and code review

Code cleanup, refactoring automation, and technical debt management with context restoration

Dependency auditing, version management, and security vulnerability scanning

Error analysis, trace debugging, and multi-agent problem diagnosis

Team workflows, issue management, standup automation, and developer experience optimization

LLM application development, prompt engineering, and AI assistant optimization

Multi-agent system optimization, agent improvement workflows, and context management

Context persistence, restoration, and long-running conversation management

ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows

ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development

Production incident management, triage workflows, and automated incident resolution

Error tracing, root cause analysis, and smart debugging for production systems

Distributed system tracing and debugging across microservices

Metrics collection, logging infrastructure, distributed tracing, SLO implementation, and monitoring dashboards

Deployment patterns, rollback automation, and infrastructure templates

Pre-deployment checks, configuration validation, and deployment readiness assessment

Kubernetes manifest generation, networking configuration, security policies, observability setup, GitOps workflows, and auto-scaling

Cloud architecture design for AWS/Azure/GCP, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization

CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration

Application profiling, performance optimization, and observability for frontend and backend systems

Database query optimization, cloud cost optimization, and scalability improvements

Multi-perspective code analysis covering architecture, security, and best practices

Performance analysis, test coverage review, and AI-powered code quality assessment

Framework updates, migration planning, and architectural transformation workflows