/create-plugin
Guided end-to-end plugin creation workflow with component design, implementation, and validation
$ npx -y skills add fazxes/Claude-code --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/create-plugin
Context preview
What this command does when you run it.
Guided end-to-end plugin creation workflow with component design, implementation, and validation
Command definition
create-plugin.mddescription: Guided end-to-end plugin creation workflow with component design, implementation, and validation
argument-hint: Optional plugin description
allowed-tools:
[
"Read",
"Write",
"Grep",
"Glob",
"Bash",
"TodoWrite",
"AskUserQuestion",
"Skill",
"Task",
]Plugin Creation Workflow
Guide the user through creating a complete, high-quality Claude Code plugin from initial concept to tested implementation. Follow a systematic approach: understand requirements, design components, clarify details, implement following best practices, validate, and test.
Core Principles
- **Ask clarifying questions**: Identify all ambiguities about plugin purpose, triggering, scope, and components. Ask specific, concrete questions rather than making assumptions. Wait for user answers before proceeding with implementation.
- **Load relevant skills**: Use the Skill tool to load plugin-dev skills when needed (plugin-structure, hook-development, agent-development, etc.)
- **Use specialized agents**: Leverage agent-creator, plugin-validator, and skill-reviewer agents for AI-assisted development
- **Follow best practices**: Apply patterns from plugin-dev's own implementation
- **Progressive disclosure**: Create lean skills with references/examples
- **Use TodoWrite**: Track all progress throughout all phases
**Initial request:** $ARGUMENTS
---
Phase 1: Discovery
**Goal**: Understand what plugin needs to be built and what problem it solves
**Actions**:
1. Create todo list with all 7 phases 2. If plugin purpose is clear from arguments:
- Summarize understanding
- Identify plugin type (integration, workflow, analysis, toolkit, etc.)
3. If plugin purpose is unclear, ask user:
- What problem does this plugin solve?
- Who will use it and when?
- What should it do?
- Any similar plugins to reference?
4. Summarize understanding and confirm with user before proceeding
**Output**: Clear statement of plugin purpose and target users
---
Phase 2: Component Planning
**Goal**: Determine what plugin components are needed
**MUST load plugin-structure skill** using Skill tool before this phase.
**Actions**:
1. Load plugin-structure skill to understand component types 2. Analyze plugin requirements and determine needed components:
- **Skills**: Specialized knowledge OR user-initiated actions (deploy, configure, analyze). Skills are the preferred format for both — see note below.
- **Agents**: Autonomous tasks? (validation, generation, analysis)
- **Hooks**: Event-driven automation? (validation, notifications)
- **MCP**: External service integration? (databases, APIs)
- **Settings**: User configuration? (.local.md files)
> **Note:** The `commands/` directory is a legacy format. For new plugins, user-invoked slash commands should be created as skills in `skills/<name>/SKILL.md`. Both are loaded identically — the only difference is file layout. `commands/` remains an acceptable legacy alternative.
3. For each component type needed, identify:
- How many of each type
- What each one does
- Rough triggering/usage patterns
4. Present component plan to user as table:
| Component Type | Count | Purpose |
|----------------|-------|---------|
| Skills | 5 | Hook patterns, MCP usage, deploy, configure, validate |
| Agents | 1 | Autonomous validation |
| Hooks | 0 | Not needed |
| MCP | 1 | Database integration |
5. Get user confirmation or adjustments
**Output**: Confirmed list of components to create
---
Phase 3: Detailed Design & Clarifying Questions
**Goal**: Specify each component in detail and resolve all ambiguities
**CRITICAL**: This is one of the most important phases. DO NOT SKIP.
**Actions**:
1. For each component in the plan, identify underspecified aspects:
- **Skills**: What triggers them? What knowledge do they provide? How detailed? For user-invoked skills: what arguments, what tools, interactive or automated?
- **Agents**: When to trigger (proactive/reactive)? What tools? Output format?
- **Hooks**: Which events? Prompt or command based? Validation criteria?
- **MCP**: What server type? Authentication? Which tools?
- **Settings**: What fields? Required vs optional? Defaults?
2. **Present all questions to user in organized sections** (one section per component type)
3. **Wait for answers before proceeding to implementation**
4. If user says "whatever you think is best", provide specific recommendations and get explicit confirmation
**Example questions for a skill**:
- What specific user queries should trigger this skill?
- Should it include utility scripts? What functionality?
- How detailed should the core SKILL.md be vs references/?
- Any real-world examples to include?
**Example questions for an agent**:
- Should this agent trigger proactively after certain actions, or only when explicitly requested?
- What tools does it need (Read, Write, Bash, etc.)?
- What should the output format be?
- Any specific quality standards to enforce?
**Output**: Detailed specification for each component
---
Phase 4: Plugin Structure Creation
**Goal**: Create plugin directory structure and manifest
**Actions**:
1. Determine plugin name (kebab-case, descriptive) 2. Choose plugin location:
- Ask user: "Where should I create the plugin?"
- Offer options: current directory, ../new-plugin-name, custom path
3. Create directory structure using bash:
mkdir -p plugin-name/.claude-plugin
mkdir -p plugin-name/skills/<skill-name> # one dir per skill, each with a SKILL.md
mkdir -p plugin-name/agents # if needed
mkdir -p plugin-name/hooks # if needed
# Note: plugin-name/commands/ is a legacy alternative to skills/ — prefer skills/
4. Create plugin.json manifest using Write tool:
{
"name": "plugin-name",
"version": "0.1.0",Read more
description: Guided end-to-end plugin creation workflow with component design, implementation, and validation
argument-hint: Optional plugin description
allowed-tools:
[
"Read",
"Write",
"Grep",
"Glob",
"Bash",
"TodoWrite",
"AskUserQuestion",
"Skill",
"Task",
]Plugin Creation Workflow
Guide the user through creating a complete, high-quality Claude Code plugin from initial concept to tested implementation. Follow a systematic approach: understand requirements, design components, clarify details, implement following best practices, validate, and test.
Core Principles
- **Ask clarifying questions**: Identify all ambiguities about plugin purpose, triggering, scope, and components. Ask specific, concrete questions rather than making assumptions. Wait for user answers before proceeding with implementation.
- **Load relevant skills**: Use the Skill tool to load plugin-dev skills when needed (plugin-structure, hook-development, agent-development, etc.)
- **Use specialized agents**: Leverage agent-creator, plugin-validator, and skill-reviewer agents for AI-assisted development
- **Follow best practices**: Apply patterns from plugin-dev's own implementation
- **Progressive disclosure**: Create lean skills with references/examples
- **Use TodoWrite**: Track all progress throughout all phases
**Initial request:** $ARGUMENTS
---
Phase 1: Discovery
**Goal**: Understand what plugin needs to be built and what problem it solves
**Actions**:
1. Create todo list with all 7 phases 2. If plugin purpose is clear from arguments:
- Summarize understanding
- Identify plugin type (integration, workflow, analysis, toolkit, etc.)
3. If plugin purpose is unclear, ask user:
- What problem does this plugin solve?
- Who will use it and when?
- What should it do?
- Any similar plugins to reference?
4. Summarize understanding and confirm with user before proceeding
**Output**: Clear statement of plugin purpose and target users
---
Phase 2: Component Planning
**Goal**: Determine what plugin components are needed
**MUST load plugin-structure skill** using Skill tool before this phase.
**Actions**:
1. Load plugin-structure skill to understand component types 2. Analyze plugin requirements and determine needed components:
- **Skills**: Specialized knowledge OR user-initiated actions (deploy, configure, analyze). Skills are the preferred format for both — see note below.
- **Agents**: Autonomous tasks? (validation, generation, analysis)
- **Hooks**: Event-driven automation? (validation, notifications)
- **MCP**: External service integration? (databases, APIs)
- **Settings**: User configuration? (.local.md files)
> **Note:** The `commands/` directory is a legacy format. For new plugins, user-invoked slash commands should be created as skills in `skills/<name>/SKILL.md`. Both are loaded identically — the only difference is file layout. `commands/` remains an acceptable legacy alternative.
3. For each component type needed, identify:
- How many of each type
- What each one does
- Rough triggering/usage patterns
4. Present component plan to user as table:
| Component Type | Count | Purpose | |----------------|-------|---------| | Skills | 5 | Hook patterns, MCP usage, deploy, configure, validate | | Agents | 1 | Autonomous validation | | Hooks | 0 | Not needed | | MCP | 1 | Database integration |
5. Get user confirmation or adjustments
**Output**: Confirmed list of components to create
---
Phase 3: Detailed Design & Clarifying Questions
**Goal**: Specify each component in detail and resolve all ambiguities
**CRITICAL**: This is one of the most important phases. DO NOT SKIP.
**Actions**:
1. For each component in the plan, identify underspecified aspects:
- **Skills**: What triggers them? What knowledge do they provide? How detailed? For user-invoked skills: what arguments, what tools, interactive or automated?
- **Agents**: When to trigger (proactive/reactive)? What tools? Output format?
- **Hooks**: Which events? Prompt or command based? Validation criteria?
- **MCP**: What server type? Authentication? Which tools?
- **Settings**: What fields? Required vs optional? Defaults?
2. **Present all questions to user in organized sections** (one section per component type)
3. **Wait for answers before proceeding to implementation**
4. If user says "whatever you think is best", provide specific recommendations and get explicit confirmation
**Example questions for a skill**:
- What specific user queries should trigger this skill?
- Should it include utility scripts? What functionality?
- How detailed should the core SKILL.md be vs references/?
- Any real-world examples to include?
**Example questions for an agent**:
- Should this agent trigger proactively after certain actions, or only when explicitly requested?
- What tools does it need (Read, Write, Bash, etc.)?
- What should the output format be?
- Any specific quality standards to enforce?
**Output**: Detailed specification for each component
---
Phase 4: Plugin Structure Creation
**Goal**: Create plugin directory structure and manifest
**Actions**:
1. Determine plugin name (kebab-case, descriptive) 2. Choose plugin location:
- Ask user: "Where should I create the plugin?"
- Offer options: current directory, ../new-plugin-name, custom path
3. Create directory structure using bash:
mkdir -p plugin-name/.claude-plugin mkdir -p plugin-name/skills/<skill-name> # one dir per skill, each with a SKILL.md mkdir -p plugin-name/agents # if needed mkdir -p plugin-name/hooks # if needed # Note: plugin-name/commands/ is a legacy alternative to skills/ — prefer skills/
4. Create plugin.json manifest using Write tool:
{
"name": "plugin-name",
"version": "0.1.0",Disclaimer: This repository contains proprietary source code belonging to Anthropic that was unintentionally exposed via a source map file (.js.map) included in the official @anthropic-ai/claude-code npm package.
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