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Plugin Structure

OrganizationPopular
anthropics
plugin-structure

This skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", "set up plugin.json", "use ${CLAUDE_PLUGIN_ROOT}", "add commands/agents/skills/hooks", "configure auto-discovery", or needs guidance on plugin directory layout, manifest configuration, component organization, file naming conventions, or Claude Code plugin architecture best practices.

Overview

Publisheranthropics
Repositoryclaude-plugins-official
Skill nameplugin-structure
Stars
36.4K
Forks
4.1K
Bundled files
5
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by anthropics on GitHub. Read the source before you install it.

Installation

Install the Plugin Structure AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/anthropics/claude-plugins-official.git /tmp/claude-plugins-official
mkdir -p .claude/skills
cp -r /tmp/claude-plugins-official/plugins/plugin-dev/skills/plugin-structure .claude/skills/plugin-structure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plugin Structure in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Plugin Structure on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Plugin Structure is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Plugin Structure for Claude Code

Overview

Claude Code plugins follow a standardized directory structure with automatic component discovery. Understanding this structure enables creating well-organized, maintainable plugins that integrate seamlessly with Claude Code.

Key concepts:

  • Conventional directory layout for automatic discovery
  • Manifest-driven configuration in .claude-plugin/plugin.json
  • Component-based organization (commands, agents, skills, hooks)
  • Portable path references using ${CLAUDE_PLUGIN_ROOT}
  • Explicit vs. auto-discovered component loading

Directory Structure

Every Claude Code plugin follows this organizational pattern:

plugin-name/
├── .claude-plugin/
│   └── plugin.json          # Required: Plugin manifest
├── commands/                 # Slash commands (.md files)
├── agents/                   # Subagent definitions (.md files)
├── skills/                   # Agent skills (subdirectories)
│   └── skill-name/
│       └── SKILL.md         # Required for each skill
├── hooks/
│   └── hooks.json           # Event handler configuration
├── .mcp.json                # MCP server definitions
└── scripts/                 # Helper scripts and utilities

Critical rules:

  1. Manifest location: The plugin.json manifest MUST be in .claude-plugin/ directory
  2. Component locations: All component directories (commands, agents, skills, hooks) MUST be at plugin root level, NOT nested inside .claude-plugin/
  3. Optional components: Only create directories for components the plugin actually uses
  4. Naming convention: Use kebab-case for all directory and file names

Plugin Manifest (plugin.json)

The manifest defines plugin metadata and configuration. Located at .claude-plugin/plugin.json:

Required Fields

json
{
  "name": "plugin-name"
}

Name requirements:

  • Use kebab-case format (lowercase with hyphens)
  • Must be unique across installed plugins
  • No spaces or special characters
  • Example: code-review-assistant, test-runner, api-docs

Recommended Metadata

json
{
  "name": "plugin-name",
  "version": "1.0.0",
  "description": "Brief explanation of plugin purpose",
  "author": {
    "name": "Author Name",
    "email": "author@example.com",
    "url": "https://example.com"
  },
  "homepage": "https://docs.example.com",
  "repository": "https://github.com/user/plugin-name",
  "license": "MIT",
  "keywords": ["testing", "automation", "ci-cd"]
}

Version format: Follow semantic versioning (MAJOR.MINOR.PATCH) Keywords: Use for plugin discovery and categorization

Component Path Configuration

Specify custom paths for components (supplements default directories):

json
{
  "name": "plugin-name",
  "commands": "./custom-commands",
  "agents": ["./agents", "./specialized-agents"],
  "hooks": "./config/hooks.json",
  "mcpServers": "./.mcp.json"
}

Important: Custom paths supplement defaults—they don't replace them. Components in both default directories and custom paths will load.

Path rules:

  • Must be relative to plugin root
  • Must start with ./
  • Cannot use absolute paths
  • Support arrays for multiple locations

Component Organization

Commands

Location: commands/ directory Format: Markdown files with YAML frontmatter Auto-discovery: All .md files in commands/ load automatically

Example structure:

commands/
├── review.md        # /review command
├── test.md          # /test command
└── deploy.md        # /deploy command

File format:

markdown
---
name: command-name
description: Command description
---

Command implementation instructions...

Usage: Commands integrate as native slash commands in Claude Code

Agents

Location: agents/ directory Format: Markdown files with YAML frontmatter Auto-discovery: All .md files in agents/ load automatically

Example structure:

agents/
├── code-reviewer.md
├── test-generator.md
└── refactorer.md

File format:

markdown
---
description: Agent role and expertise
capabilities:
  - Specific task 1
  - Specific task 2
---

Detailed agent instructions and knowledge...

Usage: Users can invoke agents manually, or Claude Code selects them automatically based on task context

Skills

Location: skills/ directory with subdirectories per skill Format: Each skill in its own directory with SKILL.md file Auto-discovery: All SKILL.md files in skill subdirectories load automatically

Example structure:

skills/
├── api-testing/
│   ├── SKILL.md
│   ├── scripts/
│   │   └── test-runner.py
│   └── references/
│       └── api-spec.md
└── database-migrations/
    ├── SKILL.md
    └── examples/
        └── migration-template.sql

SKILL.md format:

markdown
---
name: Skill Name
description: When to use this skill
version: 1.0.0
---

Skill instructions and guidance...

Supporting files: Skills can include scripts, references, examples, or assets in subdirectories

Usage: Claude Code autonomously activates skills based on task context matching the description

Hooks

Location: hooks/hooks.json or inline in plugin.json Format: JSON configuration defining event handlers Registration: Hooks register automatically when plugin enables

Example structure:

hooks/
├── hooks.json           # Hook configuration
└── scripts/
    ├── validate.sh      # Hook script
    └── check-style.sh   # Hook script

Configuration format:

json
{
  "PreToolUse": [{
    "matcher": "Write|Edit",
    "hooks": [{
      "type": "command",
      "command": "bash ${CLAUDE_PLUGIN_ROOT}/hooks/scripts/validate.sh",
      "timeout": 30
    }]
  }]
}

Available events: PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification

Usage: Hooks execute automatically in response to Claude Code events

MCP Servers

Location: .mcp.json at plugin root or inline in plugin.json Format: JSON configuration for MCP server definitions Auto-start: Servers start automatically when plugin enables

Example format:

json
{
  "mcpServers": {
    "server-name": {
      "command": "node",
      "args": ["${CLAUDE_PLUGIN_ROOT}/servers/server.js"],
      "env": {
        "API_KEY": "${API_KEY}"
      }
    }
  }
}

Usage: MCP servers integrate seamlessly with Claude Code's tool system

Portable Path References

${CLAUDE_PLUGIN_ROOT}

Use ${CLAUDE_PLUGIN_ROOT} environment variable for all intra-plugin path references:

json
{
  "command": "bash ${CLAUDE_PLUGIN_ROOT}/scripts/run.sh"
}

Why it matters: Plugins install in different locations depending on:

  • User installation method (marketplace, local, npm)
  • Operating system conventions
  • User preferences

Where to use it:

  • Hook command paths
  • MCP server command arguments
  • Script execution references
  • Resource file paths

Never use:

  • Hardcoded absolute paths (/Users/name/plugins/...)
  • Relative paths from working directory (./scripts/... in commands)
  • Home directory shortcuts (~/plugins/...)

Path Resolution Rules

In manifest JSON fields (hooks, MCP servers):

json
"command": "${CLAUDE_PLUGIN_ROOT}/scripts/tool.sh"

In component files (commands, agents, skills):

markdown
Reference scripts at: ${CLAUDE_PLUGIN_ROOT}/scripts/helper.py

In executed scripts:

bash
#!/bin/bash
# ${CLAUDE_PLUGIN_ROOT} available as environment variable
source "${CLAUDE_PLUGIN_ROOT}/lib/common.sh"

File Naming Conventions

Component Files

Commands: Use kebab-case .md files

  • code-review.md/code-review
  • run-tests.md/run-tests
  • api-docs.md/api-docs

Agents: Use kebab-case .md files describing role

  • test-generator.md
  • code-reviewer.md
  • performance-analyzer.md

Skills: Use kebab-case directory names

  • api-testing/
  • database-migrations/
  • error-handling/

Supporting Files

Scripts: Use descriptive kebab-case names with appropriate extensions

  • validate-input.sh
  • generate-report.py
  • process-data.js

Documentation: Use kebab-case markdown files

  • api-reference.md
  • migration-guide.md
  • best-practices.md

Configuration: Use standard names

  • hooks.json
  • .mcp.json
  • plugin.json

Auto-Discovery Mechanism

Claude Code automatically discovers and loads components:

  1. Plugin manifest: Reads .claude-plugin/plugin.json when plugin enables
  2. Commands: Scans commands/ directory for .md files
  3. Agents: Scans agents/ directory for .md files
  4. Skills: Scans skills/ for subdirectories containing SKILL.md
  5. Hooks: Loads configuration from hooks/hooks.json or manifest
  6. MCP servers: Loads configuration from .mcp.json or manifest

Discovery timing:

  • Plugin installation: Components register with Claude Code
  • Plugin enable: Components become available for use
  • No restart required: Changes take effect on next Claude Code session

Override behavior: Custom paths in plugin.json supplement (not replace) default directories

Best Practices

Organization

  1. Logical grouping: Group related components together

    • Put test-related commands, agents, and skills together
    • Create subdirectories in scripts/ for different purposes
  2. Minimal manifest: Keep plugin.json lean

    • Only specify custom paths when necessary
    • Rely on auto-discovery for standard layouts
    • Use inline configuration only for simple cases
  3. Documentation: Include README files

    • Plugin root: Overall purpose and usage
    • Component directories: Specific guidance
    • Script directories: Usage and requirements

Naming

  1. Consistency: Use consistent naming across components

    • If command is test-runner, name related agent test-runner-agent
    • Match skill directory names to their purpose
  2. Clarity: Use descriptive names that indicate purpose

    • Good: api-integration-testing/, code-quality-checker.md
    • Avoid: utils/, misc.md, temp.sh
  3. Length: Balance brevity with clarity

    • Commands: 2-3 words (review-pr, run-ci)
    • Agents: Describe role clearly (code-reviewer, test-generator)
    • Skills: Topic-focused (error-handling, api-design)

Portability

  1. Always use ${CLAUDE_PLUGIN_ROOT}: Never hardcode paths
  2. Test on multiple systems: Verify on macOS, Linux, Windows
  3. Document dependencies: List required tools and versions
  4. Avoid system-specific features: Use portable bash/Python constructs

Maintenance

  1. Version consistently: Update version in plugin.json for releases
  2. Deprecate gracefully: Mark old components clearly before removal
  3. Document breaking changes: Note changes affecting existing users
  4. Test thoroughly: Verify all components work after changes

Common Patterns

Minimal Plugin

Single command with no dependencies:

my-plugin/
├── .claude-plugin/
│   └── plugin.json    # Just name field
└── commands/
    └── hello.md       # Single command

Full-Featured Plugin

Complete plugin with all component types:

my-plugin/
├── .claude-plugin/
│   └── plugin.json
├── commands/          # User-facing commands
├── agents/            # Specialized subagents
├── skills/            # Auto-activating skills
├── hooks/             # Event handlers
│   ├── hooks.json
│   └── scripts/
├── .mcp.json          # External integrations
└── scripts/           # Shared utilities

Skill-Focused Plugin

Plugin providing only skills:

my-plugin/
├── .claude-plugin/
│   └── plugin.json
└── skills/
    ├── skill-one/
    │   └── SKILL.md
    └── skill-two/
        └── SKILL.md

Troubleshooting

Component not loading:

  • Verify file is in correct directory with correct extension
  • Check YAML frontmatter syntax (commands, agents, skills)
  • Ensure skill has SKILL.md (not README.md or other name)
  • Confirm plugin is enabled in Claude Code settings

Path resolution errors:

  • Replace all hardcoded paths with ${CLAUDE_PLUGIN_ROOT}
  • Verify paths are relative and start with ./ in manifest
  • Check that referenced files exist at specified paths
  • Test with echo $CLAUDE_PLUGIN_ROOT in hook scripts

Auto-discovery not working:

  • Confirm directories are at plugin root (not in .claude-plugin/)
  • Check file naming follows conventions (kebab-case, correct extensions)
  • Verify custom paths in manifest are correct
  • Restart Claude Code to reload plugin configuration

Conflicts between plugins:

  • Use unique, descriptive component names
  • Namespace commands with plugin name if needed
  • Document potential conflicts in plugin README
  • Consider command prefixes for related functionality

For detailed examples and advanced patterns, see files in references/ and examples/ directories.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Plugin Structure AI skill do?

This skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", "set up plugin.json", "use ${CLAUDE_PLUGIN_ROOT}", "add commands/agents/skills/hooks", "configure auto-discovery", or needs guidance on plugin directory layout, manifest configuration, component organization, file naming conventions, or Claude Code plugin architecture best practices.

Why use Plugin Structure on TypingMind?

Because you install it once and use it with any model. Plugin Structure is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Plugin Structure in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/claude-plugins-official/tree/main/plugins/plugin-dev/skills/plugin-structure. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Plugin Structure?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Plugin Structure?

As many as you like. As long as a model supports skills, you can use Plugin Structure with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Plugin Structure AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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