create-cowork-plugin
Guide users through creating a new plugin from scratch in a cowork session
Install / Use
npx skills add anthropics/knowledge-work-plugins --skill create-cowork-pluginInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of create-cowork-plugin
create-cowork-plugin scores 96/100 on our quality scale, 146th of 2,185 Development & Engineering skills we index (top 7%).
Its SKILL.md is 13 KB long, well organised into 19 sections with 6 code examples: a thorough specification that gives an agent plenty to work with.
With 25,526 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 2 days ago, so create-cowork-plugin is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
create-cowork-plugin compared with similar skills
All 4 of these similar skills score higher than create-cowork-plugin; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| create-cowork-plugin (this skill)by anthropics | 96 | 25.5k | 2d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.0k | 5d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | today | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 4d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 4d ago | SKILL.md |
Frequently asked questions
- How do I install create-cowork-plugin?
- Run
npx skills add anthropics/knowledge-work-plugins --skill create-cowork-plugin. The install tabs above show the steps for each supported agent. - Which AI agents does create-cowork-plugin work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is create-cowork-plugin safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is create-cowork-plugin still maintained?
- The repository was last updated 2 days ago, so create-cowork-plugin is actively maintained.
Skill content
View source on GitHubname: 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 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:
- Discovery — understand what the user wants to build
- Component Planning — determine which component types are needed
- Design & Clarifying Questions — specify each component in detail
- Implementation — create all plugin files
- Review & Package — deliver the
.pluginfile
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
├── skills/ # Skills (subdirectories with SKILL.md)
│ └── skill-name/
│ ├── SKILL.md
│ └── references/
├── agents/ # Subagent definitions (.md files)
├── .mcp.json # MCP server definitions
└── README.md # Plugin documentation
Legacy
commands/format: Older plugins may include acommands/directory with single-file.mdslash commands. This format still works, but new plugins should useskills/*/SKILL.mdinstead — the Cowork UI presents both as a single "Skills" concept, and the skills format supports progressive disclosure viareferences/.
Rules:
.claude-plugin/plugin.jsonis always required- Component directories (
skills/,agents/) 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.
{
"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):
{
"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 |
| ---------------------------------- | ------------------- | --------------------------- |
| 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 |
| Commands (legacy) | commands/*.md | Markdown + YAML frontmatter |
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 skills the most useful. Scaffold new plugins with skills/*/SKILL.md — do not create commands/ unless the user explicitly needs the legacy single-file format.
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:
# 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, or user-initiated actions? (domain expertise, reference schemas, workflow guides, deploy/configure/analyze/review actions)
- 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 | 3 | Domain knowledge for X, /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?
- If the skill represents a user-initiated action: what arguments does it accept, and what tools does it need? (Read, Write, Bash, Grep, etc.)
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:
- Create the plugin directory structure
- Create
plugin.jsonmanifest - Create each component (see
references/component-schemas.mdfor exact formats) - Create
README.mddocumenting the plugin
Implementation guidelines:
- 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. Skill bodies are instructions FOR Claude, not messages to the user — write them as directives about what to do. - 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.jsonat 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.
-
Summarize what was created — list each component and its purpose
-
Ask if the user wants any adjustments
-
Run
claude plugin validate <path-to-plugin-json>to check the plugin structure. If this command is unavailable (e.g., when running inside Cowork), verify the structure manually:.claude-plugin/plugin.jsonexists and contains valid JSON with at least anamefield- The
namefield is kebab-case (lowercase letters, numbers, and hyphens only) - Any component directories referenced by the plugin (
commands/,skills/,agents/,hooks/) actually exist and contain files in the expected formats —.mdfor commands/skills/agents,.jsonfor hooks - Each skill subdirectory contains a
SKILL.md - Report what passed and what didn't, the same way the CLI validator would
Fix any errors before proceeding.
-
Package as a
.pluginfile:
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.jsonfor the.pluginfile (e.g., if name iscode-reviewer, outputcode-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 P
Truncated for display — read the full file on GitHub.
Related Skills
ai-job-search
44.0kThe job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
claude-howto
41.7kA visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
algorithmic-art
177.9kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.
pptx
177.9kUse this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an em…
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
