Genel Claude Code pazaryerlerinden 5.634 eklenti. Her biri birlikte yüklenen beceriler, eğik çizgi komutları, ajanlar, kancalar veya MCP sunucuları içerir.
festivalObedience-Corp/festival1.claude-plugin/marketplace.json içeren depoyu gönderin, biz de her plugini listeleyelim.
Marketplace gönderReact, Vue, Svelte, CSS and component skills for building interfaces.
SQL, analytics, datasets, models and machine-learning workflows.
Docker, Kubernetes, CI/CD and cloud (AWS/Azure/GCP) automation.
For developers creating and maintaining skills for AI coding agents.
Create design tokens, principles, and naming conventions for a new design system.
Audit code changes for bugs, security flaws, and quality issues before merging.
Identify design debt, audit tokens, and enforce consistency across a product.
Install this pack to generate a complete brand identity kit including logo, color palette, typography, and mockups.
Analyze competitor ads, design ad creative, and set up campaigns on Google/Meta/LinkedIn.
Audit MCP servers for secrets exposure, shell injection, and supply chain risks.
For data scientists to create static and interactive plots using Python libraries.
Installs a pipeline to validate, plan, execute, and enforce a secure code review on PRs.
Extract structured data from social media platforms via browser automation.
Design and orchestrate multi-agent AI teams using the CrewAI framework with agent roles, task decomposition, and crew processes.
For product managers and strategists to assess market opportunity and competitive landscape.
Create a PRD by clarifying the idea, researching, and generating a comprehensive requirements document.
Scaffold, build, verify, and share a new agent skill with the team.
Festival Methodology: goal-oriented project management for human-AI development workflows. Provides fest and camp CLI integration, automatic installation, and methodology guidance.
Everything for writing and publishing research: paper writing, journal formats, literature review, citations, ideation and figures.
researchMachine learning experiments, training, evaluation and reproducible papers.
research
