home / skills / anthropics / knowledge-work-plugins / create-cowork-plugin

This skill guides you through planning, designing, and packaging a new Claude Cowork plugin, delivering a ready-to-install .plugin file.

npx playbooks add skill anthropics/knowledge-work-plugins --skill create-cowork-plugin

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: create-cowork-plugin
description: >
  Guide users through creating a new plugin from scratch in a cowork session.
  Use when users want to create a plugin, build a plugin, make a new plugin, develop a plugin, scaffold a plugin, start a plugin from scratch, or design a plugin.
  This skill requires Cowork mode with access to the outputs directory for delivering the final .plugin file.
compatibility: Requires Cowork desktop app environment with access to the outputs directory for delivering .plugin files.
---

# Create Cowork Plugin

Build a new plugin from scratch through guided conversation. Walk the user through discovery, planning, design, implementation, and packaging — delivering a ready-to-install `.plugin` file at the end.

## Overview

A plugin is a self-contained directory that extends Claude's capabilities with commands, skills, agents, hooks, and MCP server integrations. This skill encodes the full plugin architecture and a five-phase workflow for creating one conversationally.

The process:
1. **Discovery** — understand what the user wants to build
2. **Component Planning** — determine which component types are needed
3. **Design & Clarifying Questions** — specify each component in detail
4. **Implementation** — create all plugin files
5. **Review & Package** — deliver the `.plugin` file

> **Nontechnical output**: Keep all user-facing conversation in plain language. Do not expose implementation details like file paths, directory structures, or schema fields unless the user asks. Frame everything in terms of what the plugin will do.

## Plugin Architecture

### Directory Structure

Every plugin follows this layout:

```
plugin-name/
├── .claude-plugin/
│   └── plugin.json           # Required: plugin manifest
├── commands/                 # Slash commands (.md files)
├── agents/                   # Subagent definitions (.md files)
├── skills/                   # Skills (subdirectories with SKILL.md)
│   └── skill-name/
│       ├── SKILL.md
│       └── references/
├── .mcp.json                 # MCP server definitions
└── README.md                 # Plugin documentation
```


**Rules:**
- `.claude-plugin/plugin.json` is always required
- Component directories (`commands/`, `agents/`, `skills/`) go at the plugin root, not inside `.claude-plugin/`
- Only create directories for components the plugin actually uses
- Use kebab-case for all directory and file names

### plugin.json Manifest

Located at `.claude-plugin/plugin.json`. Minimal required field is `name`.

```json
{
  "name": "plugin-name",
  "version": "0.1.0",
  "description": "Brief explanation of plugin purpose",
  "author": {
    "name": "Author Name"
  }
}
```

**Name rules:** kebab-case, lowercase with hyphens, no spaces or special characters.
**Version:** semver format (MAJOR.MINOR.PATCH). Start at `0.1.0`.

Optional fields: `homepage`, `repository`, `license`, `keywords`.

Custom component paths can be specified (supplements, does not replace, auto-discovery):
```json
{
  "commands": "./custom-commands",
  "agents": ["./agents", "./specialized-agents"],
  "hooks": "./config/hooks.json",
  "mcpServers": "./.mcp.json"
}
```

### Component Schemas

Detailed schemas for each component type are in `references/component-schemas.md`. Summary:

| Component | Location | Format |
|-----------|----------|--------|
| Commands | `commands/*.md` | Markdown + YAML frontmatter |
| Skills | `skills/*/SKILL.md` | Markdown + YAML frontmatter |
| MCP Servers | `.mcp.json` | JSON |
| Agents (uncommonly used in Cowork) | `agents/*.md` | Markdown + YAML frontmatter |
| Hooks (rarely used in Cowork) | `hooks/hooks.json` | JSON |

This schema is shared with Claude Code's plugin system, but you're creating a plugin for Claude Cowork, a desktop app for doing knowledge work.
Cowork users will usually find commands and skills the most useful.

### Customizable plugins with `~~` placeholders

> **Do not use or ask about this pattern by default.** Only introduce `~~` placeholders if the user explicitly says they want people outside their organization to use the plugin.
> You can mention this is an option if it seems like the user wants to distribute the plugin externally, but do not proactively ask about this with AskUserQuestion.

When a plugin is intended to be shared with others outside their company, it might have parts that need to be adapted to individual users.
You might need to reference external tools by category rather than specific product (e.g., "project tracker" instead of "Jira").
When sharing is needed, use generic language and mark these as requiring customization with two tilde characters such as `create an issue in ~~project tracker`.
If used any tool categories, write a `CONNECTORS.md` file at the plugin root to explain:

```markdown
# Connectors

## How tool references work

Plugin files use `~~category` as a placeholder for whatever tool the user
connects in that category. Plugins are tool-agnostic — they describe
workflows in terms of categories rather than specific products.

## Connectors for this plugin

| Category | Placeholder | Options |
|----------|-------------|-----------------|---------------|
| Chat | `~~chat` | Slack, Microsoft Teams, Discord |
| Project tracker | `~~project tracker` | Linear, Asana, Jira |
```

### ${CLAUDE_PLUGIN_ROOT} Variable

Use `${CLAUDE_PLUGIN_ROOT}` for all intra-plugin path references in hooks and MCP configs. Never hardcode absolute paths.

## Guided Workflow

When you ask the user something, use AskUserQuestion. Don't assume "industry standard" defaults are correct. Note: AskUserQuestion always includes a Skip button and a free-text input box for custom answers, so do not include `None` or `Other` as options.

### Phase 1: Discovery

**Goal**: Understand what the user wants to build and why.

Ask (only what is unclear — skip questions if the user's initial request already answers them):

- What should this plugin do? What problem does it solve?
- Who will use it and in what context?
- Does it integrate with any external tools or services?
- Is there a similar plugin or workflow to reference?

Summarize understanding and confirm before proceeding.

**Output**: Clear statement of plugin purpose and scope.

### Phase 2: Component Planning

**Goal**: Determine which component types the plugin needs.

Based on the discovery answers, determine:

- **Skills** — Does it need specialized knowledge that Claude should load on-demand? (domain expertise, reference schemas, workflow guides)
- **Commands** — Are there user-initiated actions? (deploy, configure, analyze, review)
- **MCP Servers** — Does it need external service integration? (databases, APIs, SaaS tools)
- **Agents (uncommon)** — Are there autonomous multi-step tasks? (validation, generation, analysis)
- **Hooks (rare)** — Should something happen automatically on certain events? (enforce policies, load context, validate operations)

Present a component plan table, including component types you decided not to create:

```
| Component | Count | Purpose |
|-----------|-------|---------|
| Skills    | 1     | Domain knowledge for X |
| Commands  | 2     | /do-thing, /check-thing |
| Agents    | 0     | Not needed |
| Hooks     | 1     | Validate writes |
| MCP       | 1     | Connect to service Y |
```

Get user confirmation or adjustments before proceeding.

**Output**: Confirmed list of components to create.

### Phase 3: Design & Clarifying Questions

**Goal**: Specify each component in detail. Resolve all ambiguities before implementation.

For each component type in the plan, ask targeted design questions. Present questions grouped by component type. Wait for answers before proceeding.

**Skills:**
- What user queries should trigger this skill?
- What knowledge domains does it cover?
- Should it include reference files for detailed content?

**Commands:**
- What arguments does each command accept?
- What tools does each command need? (Read, Write, Bash, Grep, etc.)
- Is each command interactive or automated?

**Agents:**
- Should each agent trigger proactively or only when requested?
- What tools does it need?
- What should the output format be?

**Hooks:**
- Which events? (PreToolUse, PostToolUse, Stop, SessionStart, etc.)
- What behavior — validate, block, modify, add context?
- Prompt-based (LLM-driven) or command-based (deterministic script)?

**MCP Servers:**
- What server type? (stdio for local, SSE for hosted with OAuth, HTTP for REST APIs)
- What authentication method?
- What tools should be exposed?

If the user says "whatever you think is best," provide specific recommendations and get explicit confirmation.

**Output**: Detailed specification for every component.

### Phase 4: Implementation

**Goal**: Create all plugin files following best practices.

**Order of operations:**
1. Create the plugin directory structure
2. Create `plugin.json` manifest
3. Create each component (see `references/component-schemas.md` for exact formats)
4. Create `README.md` documenting the plugin

**Implementation guidelines:**

- **Commands** are instructions FOR Claude, not messages to the user. Write them as directives about what to do.
- **Skills** use progressive disclosure: lean SKILL.md body (under 3,000 words), detailed content in `references/`. Frontmatter description must be third-person with specific trigger phrases.
- **Agents** need a description with `<example>` blocks showing triggering conditions, plus a system prompt in the markdown body.
- **Hooks** config goes in `hooks/hooks.json`. Use `${CLAUDE_PLUGIN_ROOT}` for script paths. Prefer prompt-based hooks for complex logic.
- **MCP configs** go in `.mcp.json` at plugin root. Use `${CLAUDE_PLUGIN_ROOT}` for local server paths. Document required env vars in README.

### Phase 5: Review & Package

**Goal**: Deliver the finished plugin.

1. Summarize what was created — list each component and its purpose
2. Ask if the user wants any adjustments
3. Run `claude plugin validate <path-to-plugin-json>`; fix any errors and warnings
4. Package as a `.plugin` file:

```bash
cd /path/to/plugin-dir && zip -r /tmp/plugin-name.plugin . -x "*.DS_Store" && cp /tmp/plugin-name.plugin /path/to/outputs/plugin-name.plugin
```

> **Important**: Always create the zip in `/tmp/` first, then copy to the outputs folder. Writing directly to the outputs folder may fail due to permissions.

> **Naming**: Use the plugin name from `plugin.json` for the `.plugin` file (e.g., if name is `code-reviewer`, output `code-reviewer.plugin`).

The `.plugin` file will appear in the chat as a rich preview where the user can browse the files and accept the plugin by pressing a button.

## Best Practices

- **Start small**: Begin with the minimum viable set of components. A plugin with one well-crafted skill is more useful than one with five half-baked components.
- **Progressive disclosure for skills**: Core knowledge in SKILL.md, detailed reference material in `references/`, working examples in `examples/`.
- **Clear trigger phrases**: Skill descriptions should include specific phrases users would say. Agent descriptions should include `<example>` blocks.
- **Commands are for Claude**: Write command content as instructions for Claude to follow, not documentation for the user to read.
- **Imperative writing style**: Use verb-first instructions in skills ("Parse the config file," not "You should parse the config file").
- **Portability**: Always use `${CLAUDE_PLUGIN_ROOT}` for intra-plugin paths, never hardcoded paths.
- **Security**: Use environment variables for credentials, HTTPS for remote servers, least-privilege tool access.

## Additional Resources

- **`references/component-schemas.md`** — Detailed format specifications for every component type (commands, skills, agents, hooks, MCP, CONNECTORS.md)
- **`references/example-plugins.md`** — Three complete example plugin structures at different complexity levels

Overview

This skill guides you through creating a new Claude Cowork plugin from scratch in a live cowork session. It walks through discovery, component planning, detailed design, implementation, and packaging, and delivers a ready-to-install .plugin file in the outputs folder. The process is conversational, keeps user-facing language nontechnical, and prioritizes a minimal viable plugin before iterating.

How this skill works

I ask targeted discovery questions to capture purpose, users, and integrations, then propose a component plan (skills, commands, MCP servers, agents, hooks) and get confirmation. After resolving design details for each component, I generate all plugin files, validate them, and package the plugin as a .plugin file placed into the outputs directory. I keep design and prompts user-facing and only reveal implementation details on request.

When to use it

  • You want to build a custom Cowork plugin to automate a recurring knowledge-worker task.
  • You need step-by-step guidance to design commands, skills, or integrations before coding.
  • You want a packaged, installable .plugin file delivered at the end of the session.
  • You need help deciding which plugin components (skill, command, MCP server) are necessary.
  • You want to convert a manual workflow into an interactive Claude capability.

Best practices

  • Start small: deliver one focused skill or command before expanding.
  • Use clear trigger phrases so Claude reliably invokes skills or commands.
  • Keep user-facing content simple; hide implementation details unless requested.
  • Use environment variables and least-privilege access for any external integrations.
  • Reference internal files with a root-relative variable rather than hardcoded paths.

Example use cases

  • A meeting-note assistant skill that summarizes notes and creates action items with a /summarize command.
  • A code-review helper that runs static checks via an MCP server and provides guided fixes.
  • A project-tracker connector that creates tasks in a user's selected tracker via a skill and command.
  • A publishing workflow that validates content, applies templates, and packages outputs into a release.
  • An internal policy checker hook that validates writes before they are accepted.

FAQ

How long does it take to produce a working .plugin file?

Typical sessions for a minimal plugin take 30–90 minutes; more complex integrations can take longer depending on external API details.

Will I need to share credentials during the session?

You should avoid sharing secrets directly; we use placeholders and document required environment variables so you can supply credentials securely later.

Can this create plugins for public distribution?

Yes. If you plan to share externally, I will propose placeholders and connector notes so others can adapt tool references before distribution.