Claude Plugins

A shared repository of plugins for Claude Code. Each plugin packages reusable expertise — agents, skills, prompts, and MCP server configs — into a standard format that can be discovered and consumed through the built-in MCP server. Available as an npm package for easy integration via npx.

Philosophy

Codify expertise, not just code. The best engineering knowledge lives in people's heads — how to structure a Kotlin coroutine scope, when to reach for React Server Components, which Python async patterns actually work in production. This repo turns that knowledge into portable, versionable plugins that any Claude Code session can pull in on demand.

A few principles guide the design:

• Convention over configuration. Drop files in the right directories and the system picks them up. No central registry to maintain, no config files to wire together.
• Composable pieces. Plugins are made of independent components (agents, skills, prompts, MCP configs). Use what you need, ignore what you don't.
• Plain text wins. Plugin logic lives in Markdown files. They're easy to read, easy to review, and easy to edit without tooling.
• Discovery is built in. The repo itself is an MCP server. Other tools and Claude Code instances can search and retrieve plugins programmatically via list_plugins, get_plugin, and search_plugins.

Current Plugins

Plugin	Type	Description
python-expert	Agent	Python 3.11+, async/await, Pydantic, FastAPI, SQLAlchemy
kotlin-expert	Agent	Kotlin 2.0+, coroutines, Spring Boot, domain modeling
react-expert	Agent	React 19+, concurrent rendering, Tailwind, accessibility

Installation & Usage

Add to Claude Code

Add it to your project's .mcp.json (project-level) or ~/.claude/claude_mcp_settings.json (global):

{
  "mcpServers": {
    "provectus-claude-plugins-finder": {
      "command": "npx",
      "args": ["-y", "@provectusinc/claude-plugins@latest"]
    }
  }
}

Using the plugins

Once connected, three tools become available in your Claude Code sessions:

Tool	What it does	Example prompt
list_plugins	Browse all plugins, filter by type or tag	"List all available plugins"
get_plugin	Retrieve a plugin's full content	"Get the python-expert agent prompt"
search_plugins	Search plugins by keyword	"Search for plugins related to code review"

You can ask Claude naturally and it will call the right tool:

• "What plugins are available for Python?"
• "Show me the react-expert agent"
• "Find plugins tagged with 'git'"

Claude will use the retrieved plugin content (agent prompts, skills, etc.) to enhance its responses with specialized expertise.

Add to other MCP clients

Any MCP-compatible client can connect to the server via stdio. The server package is @provectusinc/claude-plugins (binary name: claude-plugins):

npx -y @provectusinc/claude-plugins

Configure your client to spawn this command and communicate over stdin/stdout using the MCP protocol.

---

Current Repo

This repository is both a collection of plugins and an MCP server. The server exposes tools that allow any MCP-compatible client — including other Claude Code sessions — to discover, search, and retrieve plugins programmatically.

Writing a Good Agent

Agent prompts in agents/*.md define a specialized expert. A strong agent prompt:

• States the role clearly up front — what the agent is an expert in.
• Encodes real opinions — prefer pattern X over Y, always use Z. Generic advice is not useful.
• Includes concrete patterns — show the actual code structure you want, not just descriptions of it.
• Covers failure modes — what to watch out for, common mistakes, performance traps.
• Stays focused — one domain of expertise per agent. Compose multiple agents rather than building one that tries to cover everything.

Writing a Good Skill

Skill prompts in skills/*/SKILL.md define a slash command. A strong skill prompt:

• Defines the task — what the skill does when invoked.
• Specifies inputs — what arguments or context it needs.
• Describes the expected output — format, structure, level of detail.

Guidelines

• Keep plugin names lowercase and hyphenated (my-plugin, not MyPlugin).
• Use descriptive keywords in the manifest — they power the search tool.
• One concern per plugin. If you're mixing unrelated expertise, split it into separate plugins.
• Write prompts in plain Markdown. No frontmatter, no special syntax.
• Test your plugin by running the MCP server locally and calling get_plugin with your plugin name.

Getting Started

pnpm install
pnpm run dev          # Start the MCP server in dev mode

Other commands:

pnpm run build        # Compile TypeScript (only needed if modifying src/)
pnpm run start        # Run the compiled MCP server (stdio)
pnpm run test         # Run the test suite

If you are only adding or editing plugins (not modifying the MCP server source in src/), you do not need to run pnpm run build.

Testing Locally

Run the test suite

pnpm run test

This runs integration tests that verify tool registration, plugin filtering, search, and error handling using an in-memory MCP transport.

Test the server manually

You can test the stdio server by piping JSON-RPC messages directly:

# Build first (or use tsx for dev mode)
pnpm run build

# Send an initialize + list_plugins request
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}
{"jsonrpc":"2.0","method":"notifications/initialized"}
{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"list_plugins","arguments":{}}}' | node dist/index.js

Test with Claude Code

The local server is already configured in .mcp.json. Start a Claude Code session and the list_plugins, get_plugin, and search_plugins tools will be available. Try asking Claude to "list all available plugins" to verify the connection.

Test the npm package before publishing

# Simulate an npm install locally
pnpm pack

# Test the packed tarball works as a CLI
npx ./provectusinc-claude-plugins-0.0.0-develop.tgz

Claude Code Commands

These slash commands are available when working in this repo with Claude Code:

Command	Purpose
/update-readme	Regenerate the Current Plugins table in the README from plugin manifests

MCP Server

Any agentic tooling that supports the Model Context Protocol can connect to this server and programmatically list, search, and retrieve plugins — including their full markdown content.

Available Tools

Tool	Description	Parameters
list_plugins	List all plugins with optional filters	type? (skill, agent, prompt), tag? (string)
get_plugin	Get a plugin's full details or a single component's markdown	name (string), component? (skill, agent, prompt)
search_plugins	Full-text search across name, description, and tags	query (string), type? (skill, agent, prompt)

Connect from a local clone

The repo includes a .mcp.json that configures the local MCP server automatically. Just clone, install, build, and start a Claude Code session.

Contributing

Adding a Plugin

1. Create the plugin directory and manifest:

mkdir -p plugins/my-plugin/.claude-plugin

2. Write the manifest (plugins/my-plugin/.claude-plugin/plugin.json):

{
  "name": "my-plugin",
  "description": "What this plugin does",
  "version": "1.0.0",
  "keywords": ["relevant", "tags"]
}

3. Add at least one component — an agent, skill, prompt, or MCP config. See the existing plugins for examples.

4. Run /update-readme in Claude Code to regenerate the Current Plugins table in the README.

Making Changes

1. Create a branch from main.
2. Add or modify plugins following the structure above.
3. Run /update-readme to update the plugins table in the README.
4. If you changed MCP server source in src/, run pnpm run build to verify the TypeScript compiles.
5. Open a pull request with a clear description of what the plugin does and why it's useful.