euri-ai-marketplace
💡 Summary
A curated directory for high-quality plugins for Claude Code.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Medium. Review: outbound network access (SSRF, data egress); filesystem read/write scope and path traversal. Run with least privilege and audit before enabling in production.
Euricom Plugins Directory
A curated directory of high-quality plugins for Claude Code.
⚠️ Important: Make sure you trust a plugin before installing, updating, or using it. Anthropic does not control what MCP servers, files, or other software are included in plugins and cannot verify that they will work as intended or that they won't change. See each plugin's homepage for more information.
Structure
/plugins- Internal plugins developed and maintained by Euricom/external_plugins- Third-party plugins from partners and the community
Installation
Plugins can be installed directly from this marketplace via Claude Code's plugin system.
To install, run
/plugin marketplace add git@github.com:euricom-io/euri-ai-marketplace.git
/plugin install {plugin-name}@euricom-plugin-directory
or browse for the plugin in /plugin > Discover
Contributing
Plugins
Plugins are developed by Euricom team members. See /plugins/example-plugin for a reference implementation.
External Plugins
Third-party partners are hand picked for inclusion in the marketplace. External plugins must meet quality and security standards for approval.
Plugin Structure
Each plugin follows a standard structure:
plugin-name/
├── .claude-plugin/
│ └── plugin.json # Plugin metadata (required)
├── .mcp.json # MCP server configuration (optional)
├── commands/ # Slash commands (optional)
├── agents/ # Agent definitions (optional)
├── skills/ # Skill definitions (optional)
└── README.md # Documentation
Documentation
For more information on developing Claude Code plugins, see the official documentation.
Pros
- Curated selection of plugins
- Supports both internal and external plugins
- Clear installation instructions
Cons
- Limited information on external plugins
- Quality assurance relies on third-party standards
- No detailed usage examples provided
Related Skills
pytorch
S“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”
agno
S“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”
nuxt-skills
S“It's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author Euricom-IO.
