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{
"name": "claude",
"description": "Claude Development Plugin",
"version": "1.0.3",
"author": {
"name": "Meng Yan",
"email": "myan@redhat.com"
},
"commands": [
"./commands"
]
}

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# claude
Claude Development Plugin

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---
argument-hint: "[category/name] [--update] or leave empty for interactive creation"
description: "Extract and save current session workflow as a reusable slash command"
allowed-tools: [Write, Edit, Glob, Read, Bash, AskUserQuestion]
---
Extract and save the current or most recent session workflow as a reusable slash command file. Supports creating new commands, updating existing ones, and interactive guided creation.
## Usage Examples
- `git/draft-pr` - Create new command from recent workflow
- `git/commit-push --update` - Update existing command with improvements
- Leave empty - Interactive mode with guided questions
## Command Creation Process
1. **Determine Mode**:
- If `--update` flag: Update existing command
- If command name provided: Auto mode - analyze recent workflow
- If no arguments: Interactive mode - ask guided questions
2. **Analyze Workflow**: Extract recent session patterns, tool usage, and command sequences
3. **Generate Command File**:
- Create at `~/.claude/commands/category/name.md`
- Add YAML frontmatter with argument-hint, description, allowed-tools
- Write implementation steps consolidating workflow actions
- Include usage examples and notes
4. **Update Mode** (when using `--update`):
- Read existing command file
- Preserve metadata unless workflow significantly changed
- Merge or enhance implementation steps
- Add newly used tools to allowed-tools list
## Naming & Location
**Format**: `category/name` → command file path
**Personal Commands**: `~/.claude/commands/category/name.md`
- Available across all projects
- For individual workflows
**Project Commands**: `./.claude/commands/category/name.md`
- Shared with team via git
- For project-specific workflows
**Examples**:
- `git/draft-pr``~/.claude/commands/git/draft-pr.md` (personal)
- `docker/build``./.claude/commands/docker/build.md` (project)
- `jira/clone-issue``~/.claude/commands/jira/clone-issue.md` (personal)
**Auto-detection** (interactive mode with no name):
- Git operations → `git/workflow`
- Node/npm → `node/workflow`
- Docker → `docker/workflow`
- Test operations → `test/workflow`
- Jira → `jira/workflow`
- AWS → `aws/workflow`
## Command File Structure
```markdown
---
argument-hint: [describe expected arguments and defaults]
description: Brief action-oriented description
allowed-tools: [Bash, Read, Write, Edit, etc.]
---
Brief description of command purpose and when to use it.
## Implementation Steps
1. **Major Action**: Description of what to do (consolidate related actions)
2. **Next Step**: Clear actionable instruction
3. **Final Step**: Verification or cleanup
## Usage Examples
- `/category/name arg1` - Example scenario
- `/category/name --flag` - Another scenario
## Notes
- Prerequisites or dependencies
- Related commands
- Important considerations
```
## Interactive Questions
When in interactive mode, ask:
1. **Purpose**: What should this command do?
- Automate git operations
- Run tests or builds
- Manage external services (Jira, AWS, Docker)
- Code generation or scaffolding
2. **Scope**: Where should this command be available?
- Personal use only (save to ~/.claude/commands/)
- Share with team (save to ./.claude/commands/ for git tracking)
3. **Tools**: Which tools are needed? (multi-select)
- File operations (Read, Write, Edit, Glob)
- Shell commands (Bash)
- User interaction (AskUserQuestion)
- All tools (no restrictions)
4. **Arguments**: How should arguments be handled?
- All as single value
- Multiple positional arguments
- With default values
- No arguments needed
## Workflow Extraction
When analyzing recent workflow:
1. **Track Tool Usage**: Identify frequently used tools
2. **Find Patterns**: Detect repeated action sequences
3. **Extract Commands**: Capture successful bash commands and operations
4. **Consolidate Steps**: Group micro-actions into major steps (avoid excessive detail)
5. **Infer Metadata**: Set appropriate allowed-tools based on actual usage
## Update Mode Details
When updating with `--update` flag:
1. Preserve original description and argument-hint unless workflow changed significantly
2. Merge new steps with existing implementation steps
3. Add new tools to allowed-tools if used in recent workflow
4. Enhance usage examples with recent successful executions
5. Update notes with lessons learned or edge cases discovered
## Output Format
After creation:
```text
✅ Command created: /category/name
Location: ~/.claude/commands/category/name.md
Tools: [list of allowed-tools]
🔍 Usage: /category/name [arguments]
```
After update:
```text
✅ Command updated: /category/name
Location: ~/.claude/commands/category/name.md
🔄 Changes:
- [Summary of what changed]
```
## Best Practices
**Description**:
- Start with action verb (e.g., "Create", "Run", "Update")
- Keep under 100 characters
- Be specific and clear
**Implementation Steps**:
- Consolidate related actions (avoid micro-steps)
- Use descriptive step names
- Mention argument usage naturally in descriptions
- Include verification or error handling
**Allowed Tools**:
- Only list tools actually needed
- Omit for unrestricted access
- Use minimal set for security
## Examples
```bash
# Interactive creation
/claude:create-command
# Create from recent git workflow
/claude:create-command git/sync-upstream
# Update existing command with improvements
/claude:create-command git/commit-push --update
# Create project-specific test command
/claude:create-command test/e2e-debug
```
## Notes
- Commands expand to full prompts when invoked
- Keep focused on one specific workflow
- Test thoroughly before sharing with team
- Use `--update` to refine based on real usage
- Commands run in current working directory context

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---
argument-hint: [skill-name] or leave empty for interactive creation
description: Create a new Claude skill based on recent session workflow or conversation history
allowed-tools: [Write, Read, Glob, Bash, AskUserQuestion]
---
Create a new Claude skill that extends Claude's capabilities through modular instructions and supporting files. Skills are model-invoked (Claude autonomously decides when to use them) based on the description and context.
## Usage Examples
- `pdf-extractor` - Create a skill for extracting PDF content
- `api-testing` - Create a skill for API testing workflows
- Leave empty - Interactive mode with guided questions
## Skill Creation Process
1. **Determine Mode**: If skill name provided, use auto mode; otherwise, use interactive mode
2. **Interactive Mode** (no arguments):
- Ask user about the skill's purpose and when it should be used
- Ask what tools/capabilities the skill needs (Read, Write, Bash, etc.)
- Ask if there are specific examples or workflows to include
- Analyze recent conversation history to extract patterns
3. **Auto Mode** (skill name provided):
- Analyze recent session messages and tool calls
- Extract workflow patterns and common steps
- Identify tools used and create appropriate restrictions
- Generate skill based on detected patterns
4. **Generate Skill Structure**:
- Create skill directory: `~/.claude/skills/$1/`
- Write `SKILL.md` with YAML frontmatter and instructions
- Optionally create supporting files (`reference.md`, `examples.md`, `scripts/`)
5. **Verify and Test**:
- Check YAML syntax validity
- Verify file paths are correct (Unix-style forward slashes)
- Confirm skill description is specific and includes activation triggers
## Skill Types
**Personal Skills**: `~/.claude/skills/skill-name/`
- Available across all projects
- For individual workflows
**Project Skills**: `./.claude/skills/skill-name/`
- Shared with team via git
- For project-specific expertise
## SKILL.md Template Structure
```yaml
---
name: skill-name
description: Clear description of WHAT this does AND WHEN to use it. Include specific keywords and triggers for discoverability.
allowed-tools: [List, Of, Tools] # Optional: restrict to specific tools
---
# Skill Name
Brief overview of the skill's purpose.
## When to Use This Skill
- Specific scenario 1
- Specific scenario 2
- Clear trigger conditions
## Instructions
Step-by-step guidance for Claude:
1. **Step Name**: Detailed description of what to do
- Sub-step or consideration
- Expected outcome
2. **Next Step**: Continue with clear actions
## Examples
### Example 1: [Scenario Name]
```
[Code or command example]
```
### Example 2: [Another Scenario]
```
[Code or command example]
```
## Best Practices
- Guideline 1
- Guideline 2
- Common pitfalls to avoid
## Tool Usage
[If applicable, describe how to use specific tools effectively]
## Output Format
[If applicable, describe expected output format]
```
## Description Best Practices
**Poor**: "Helps with documents"
**Good**: "Extract text and tables from PDFs, fill forms, merge documents. Use when working with PDF files, document processing, or form automation."
**Poor**: "Testing tool"
**Good**: "Run automated API tests with request/response validation. Use when testing REST endpoints, validating API responses, or debugging HTTP requests."
## Interactive Questions
When in interactive mode, ask:
1. **Purpose Question**:
- Header: "Skill Purpose"
- Question: "What should this skill help you accomplish?"
- Options:
- "Automate a repetitive task" - Streamline workflows you do often
- "Add domain expertise" - Provide specialized knowledge in a field
- "Integrate external tools" - Connect with APIs, CLIs, or services
- "Improve code quality" - Review, test, or refactor code
2. **Activation Question**:
- Header: "When to Use"
- Question: "When should Claude automatically invoke this skill?"
- Options:
- "Specific keywords" - Trigger on certain terms or phrases
- "File patterns" - Activate for specific file types/extensions
- "Task context" - Use when user requests certain operations
- "Always available" - Let Claude decide based on context
3. **Tools Question** (multiSelect: true):
- Header: "Required Tools"
- Question: "Which tools should this skill have access to?"
- Options:
- "File operations" - Read, Write, Edit, Glob
- "Shell commands" - Bash execution
- "Web access" - WebFetch, WebSearch
- "All tools" - No restrictions (don't set allowed-tools)
4. **Examples Question**:
- Header: "Examples"
- Question: "Should we extract examples from recent conversation?"
- Options:
- "Yes, use recent workflow" - Analyze and extract from history
- "I'll provide examples" - Let me describe specific cases
- "Skip examples for now" - Just create basic structure
- "Include both" - Use history and let me add more
## Workflow Extraction Logic
When extracting from recent conversation:
1. **Identify Tool Patterns**:
- Track frequently used tools (Read, Write, Bash, etc.)
- Note file patterns (e.g., `**/*.py`, `*.md`)
- Extract common commands or operations
2. **Detect Step Sequences**:
- Find repeated action sequences
- Group related operations together
- Identify decision points or conditions
3. **Extract Examples**:
- Capture actual commands run
- Include file paths and patterns used
- Preserve successful workflows
4. **Generate Instructions**:
- Convert patterns into reusable steps
- Replace specific values with placeholders
- Add context and rationale
## Supporting Files
Optionally create additional files:
- `reference.md` - Detailed technical documentation
- `examples.md` - Additional usage examples
- `scripts/` - Utility scripts (Python, Bash, etc.)
- `templates/` - Reusable file templates
## Validation Checks
Before finalizing:
1. **YAML Frontmatter**:
- Valid syntax (proper indentation, quotes)
- Required fields present (name, description)
- Tools list properly formatted
2. **Description Quality**:
- Includes both WHAT and WHEN
- Contains specific keywords for discoverability
- Avoids vague terms like "helps with" or "tool for"
3. **Instructions Clarity**:
- Steps are numbered and descriptive
- Examples are concrete and runnable
- Best practices are actionable
4. **File Paths**:
- Use forward slashes (Unix style)
- Absolute paths when needed
- Verify directory exists
## Output Format
After creation, provide:
```
✅ Skill created successfully: skill-name
Location: ~/.claude/skills/skill-name/
Files created:
- SKILL.md
- [reference.md if applicable]
- [examples.md if applicable]
📝 Next Steps:
1. Review the skill description for clarity
2. Test the skill by triggering its use case
3. Refine based on actual usage
4. Consider adding to project if team-relevant
🔍 To use this skill:
Just mention the use case naturally, and Claude will invoke it automatically
Example: "Help me [skill use case]"
```
## Notes
- Skills are invoked automatically by Claude based on context, not by user commands
- Keep skills focused on ONE specific capability for better discoverability
- Test skills with team members before sharing project skills
- Use `allowed-tools` to restrict capabilities and improve security
- Skills can include scripts in any language (Python, Bash, JavaScript, etc.)
- Skills are loaded dynamically - no restart needed after creation
## Examples
```bash
# Interactive mode - guided creation
/claude:create-skill
# Auto mode - extract from recent PDF work
/claude:create-skill pdf-processor
# Auto mode - create testing skill
/claude:create-skill api-integration-tester
# Auto mode - create from Jira workflow
/claude:create-skill jira-automation
```
## Debugging Skills
If Claude doesn't use your skill:
1. Make description more specific with concrete keywords
2. Verify file exists at correct path: `ls -la ~/.claude/skills/skill-name/`
3. Check YAML syntax: `head -20 ~/.claude/skills/skill-name/SKILL.md`
4. Ensure skills don't overlap in scope
5. Test with explicit mention: "Use the [skill-name] skill to..."
## Skill Categories
Common skill categories to consider:
- **Document Processing**: PDF, DOCX, XLSX, PPTX manipulation
- **Testing & QA**: Automated testing, API validation, debugging
- **Integration**: External API/CLI integration, webhook handling
- **Code Quality**: Linting, formatting, review automation
- **Workflow Automation**: Git operations, CI/CD, deployment
- **Domain Expertise**: Security auditing, performance optimization, accessibility
- **Communication**: Report generation, documentation, status updates

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---
argument-hint: [subagent-name] or leave empty for interactive creation
description: Create a new Claude subagent based on recent session workflow or conversation history
allowed-tools: [Write, Read, Glob, Bash, AskUserQuestion, Grep]
---
Create a new Claude subagent - a specialized AI assistant with its own context window and custom configuration. Subagents are automatically invoked by Claude based on task context or can be explicitly requested.
## Usage Examples
- `code-reviewer` - Create a code review specialist subagent
- `api-tester` - Create an API testing subagent
- `spec-analyst` - Create a requirements analysis subagent
- Leave empty - Interactive mode with guided questions
## Subagent Creation Process
1. **Determine Mode**: If subagent name provided, use auto mode; otherwise, use interactive mode
2. **Interactive Mode** (no arguments):
- Ask user about the subagent's role and specialization
- Ask what tasks/scenarios should trigger this subagent
- Ask what tools/capabilities the subagent needs
- Ask what model to use (sonnet, opus, haiku, or inherit)
- Analyze recent conversation history to extract workflow patterns
3. **Auto Mode** (subagent name provided):
- Analyze recent session messages and tool calls
- Extract workflow patterns, common steps, and decision points
- Identify tools used frequently in the workflow
- Detect domain/context from file patterns and commands
- Generate subagent based on detected patterns
4. **Generate Subagent File**:
- Create file: `~/.claude/agents/$1.md` (user-level) or `./.claude/agents/$1.md` (project-level)
- Write YAML frontmatter with metadata
- Craft detailed system prompt with role, responsibilities, and workflow
- Include deliverable templates if applicable
5. **Verify and Test**:
- Check YAML syntax validity
- Verify description includes clear activation triggers
- Confirm tools list is appropriate
- Test invocation with example scenario
## Storage Locations
**User-Level**: `~/.claude/agents/subagent-name.md`
- Available across all projects
- For personal workflow automation
**Project-Level**: `./.claude/agents/subagent-name.md`
- Shared with team via git
- For project-specific expertise
- Higher priority than user-level (overrides on name conflict)
**Default**: User-level unless project context detected or user specifies
## Subagent File Structure
```markdown
---
name: subagent-identifier
description: Clear description of role AND when to invoke. Include specific keywords and scenarios for automatic activation.
tools: Read, Write, Bash, Grep, Glob # Optional: comma-separated list
model: sonnet # Optional: sonnet, opus, haiku, or inherit
---
# Role Definition
You are a [specific role] specializing in [domain/task]. When invoked, you [primary objective].
## Core Responsibilities
1. **[Responsibility 1]**: Detailed description of what you do
2. **[Responsibility 2]**: Another key responsibility
3. **[Responsibility 3]**: Additional responsibilities
## Workflow
When activated, follow these steps:
1. **Initial Analysis**:
- Analyze the current state/context
- Identify key issues or requirements
- Ask clarifying questions if needed
2. **Main Task Execution**:
- Perform primary task with specific approach
- Use appropriate tools and techniques
- Follow best practices and standards
3. **Quality Checks**:
- Verify work meets criteria
- Run tests/validations
- Document findings
4. **Deliverables**:
- Produce specific outputs
- Provide recommendations
- Update relevant documentation
## Best Practices
- [Best practice 1]
- [Best practice 2]
- [Common pitfall to avoid]
## Quality Criteria
- [Criterion 1]: [Standard/threshold]
- [Criterion 2]: [Standard/threshold]
- [Criterion 3]: [Standard/threshold]
## Output Format
[Template or structure for agent's deliverables]
## Example Scenarios
**Scenario 1**: [Description]
- Input: [What triggers this]
- Action: [What you do]
- Output: [What you produce]
**Scenario 2**: [Another scenario]
- Input: [Trigger]
- Action: [Process]
- Output: [Result]
```
## YAML Frontmatter Fields
| Field | Required | Description | Example |
|-------|----------|-------------|---------|
| **name** | Yes | Lowercase identifier with hyphens | `code-reviewer`, `api-tester` |
| **description** | Yes | Role + activation triggers + keywords | See examples below |
| **tools** | No | Comma-separated tool list; inherits all if omitted | `Read, Write, Bash` |
| **model** | No | Model alias or inherit from parent | `sonnet`, `opus`, `haiku`, `inherit` |
## Description Best Practices
**Poor**: "Helps review code"
**Good**: "Expert code review specialist. Reviews code for quality, security, and maintainability. Use immediately after writing or modifying code, before commits, or when refactoring."
**Poor**: "API testing tool"
**Good**: "API testing specialist. Validates REST endpoints, response schemas, error handling, and performance. Use when testing APIs, debugging HTTP requests, or validating backend services."
**Poor**: "Requirements analyst"
**Good**: "Requirements analyst and project scoping expert. Elicits comprehensive requirements, creates user stories with acceptance criteria, and generates project briefs. Use when starting new projects, analyzing requirements, or creating specifications."
## Interactive Questions
When in interactive mode, ask:
1. **Role Question**:
- Header: "Agent Role"
- Question: "What specialized role should this subagent fulfill?"
- Options:
- "Code quality expert" - Review, refactor, and improve code
- "Testing specialist" - Write and run tests, validate functionality
- "Architecture advisor" - Design systems, plan structure
- "Domain expert" - Provide specialized domain knowledge
2. **Activation Question**:
- Header: "Activation"
- Question: "When should Claude automatically invoke this subagent?"
- Options:
- "After code changes" - Proactively review new/modified code
- "Specific keywords" - Trigger on certain terms (requirements, test, etc.)
- "File patterns" - Activate for specific file types/projects
- "Explicit request only" - Only when user directly asks
3. **Tools Question** (multiSelect: true):
- Header: "Tool Access"
- Question: "Which tools should this subagent have access to?"
- Options:
- "File operations" - Read, Write, Edit, Glob, Grep
- "Shell commands" - Bash execution
- "Web access" - WebFetch, WebSearch
- "All tools (no restrictions)" - Inherits all available tools
4. **Model Question**:
- Header: "Model"
- Question: "Which AI model should power this subagent?"
- Options:
- "Sonnet (recommended)" - Balanced performance and speed
- "Opus (advanced)" - Most capable, slower, expensive
- "Haiku (fast)" - Quick responses, lighter tasks
- "Inherit from parent" - Use same model as main conversation
5. **Scope Question**:
- Header: "Scope"
- Question: "Where should this subagent be available?"
- Options:
- "User-level (all projects)" - Save to ~/.claude/agents/
- "Project-level (this project)" - Save to ./.claude/agents/
- "Let me decide later" - Recommend based on context
- "Both locations" - Create in both with option to choose
## Workflow Extraction Logic
When extracting from recent conversation:
1. **Identify Domain Patterns**:
- Analyze file types worked with (*.py, *.go, *.ts, etc.)
- Track command patterns (pytest, npm test, git, curl, etc.)
- Detect frameworks/libraries mentioned
- Identify problem domains (testing, debugging, deployment, etc.)
2. **Extract Tool Usage**:
- Count tool invocations (Read: 15, Bash: 8, Write: 5, etc.)
- Identify essential vs. optional tools
- Note tool sequences (Read → Edit → Bash pattern)
- Determine if web access needed
3. **Detect Workflow Steps**:
- Find repeated action sequences
- Identify decision points and conditionals
- Extract verification/validation patterns
- Note output/deliverable formats
4. **Generate System Prompt**:
- Define clear role based on domain
- Structure responsibilities from patterns
- Create step-by-step workflow
- Add quality criteria and best practices
- Include example scenarios from actual history
5. **Set Activation Triggers**:
- Extract keywords from user messages
- Identify file patterns from glob/grep usage
- Note explicit requests ("test this", "review code")
- Generate description with trigger keywords
## Subagent Categories & Examples
### Code Quality & Review
- **code-reviewer**: Reviews for quality, security, maintainability
- **refactoring-expert**: Improves code structure and design
- **security-auditor**: Identifies vulnerabilities and security issues
### Testing & QA
- **test-writer**: Creates comprehensive test suites
- **test-runner**: Executes tests, diagnoses failures
- **qa-validator**: Validates functionality against requirements
### Architecture & Design
- **backend-architect**: Designs server-side systems
- **frontend-architect**: Plans client application structure
- **database-designer**: Models data structures and schemas
### Development Specialists
- **api-developer**: Builds and documents REST/GraphQL APIs
- **ui-implementer**: Creates user interfaces
- **integration-specialist**: Connects external services
### Analysis & Planning
- **spec-analyst**: Elicits requirements, creates user stories
- **spec-architect**: Designs system structure and interfaces
- **spec-planner**: Breaks work into granular tasks
### DevOps & Operations
- **deployment-specialist**: Handles releases and deployments
- **monitoring-expert**: Sets up observability and alerts
- **infrastructure-engineer**: Manages cloud resources
### Domain Experts
- **performance-optimizer**: Improves speed and efficiency
- **accessibility-expert**: Ensures WCAG compliance
- **localization-specialist**: Handles i18n/l10n
## Multi-Agent Coordination
Subagents can work together in workflows:
```bash
# Sequential workflow
"Use spec-analyst to analyze requirements, then spec-architect to design the system"
# Parallel tasks
"Have code-reviewer check quality while test-runner validates functionality"
# Handoff pattern
"spec-planner should create tasks, then spec-developer implements them"
```
## Advanced Patterns
### Hub-and-Spoke Coordination
Main agent coordinates multiple specialized subagents:
- Main agent receives user request
- Delegates to appropriate specialists
- Collects and synthesizes results
### Pipeline Workflow
Sequential phases with quality gates:
1. **Planning**: spec-analyst → spec-architect → spec-planner
2. **Development**: spec-developer → test-writer
3. **Validation**: code-reviewer → qa-validator
### Specialist On-Demand
Invoke domain experts as needed:
- Security audit: security-auditor
- Performance issue: performance-optimizer
- Accessibility review: accessibility-expert
## Output Format
After creation, provide:
```
✅ Subagent created successfully: [name]
Location: ~/.claude/agents/[name].md (or project-level)
Role: [Role description]
Model: [sonnet/opus/haiku/inherit]
Tools: [tool list or "all tools"]
📋 Subagent Details:
- Activates on: [keywords, patterns, or scenarios]
- Primary responsibilities: [list]
- Key capabilities: [list]
🔍 How to Use:
Automatic: Claude will invoke when context matches
Explicit: "Use the [name] subagent to [task]"
🧪 Test Command:
Try: "Use the [name] subagent to [example scenario]"
📝 Next Steps:
1. Test the subagent with a relevant task
2. Refine system prompt based on results
3. Add to project agents if team-relevant
4. Document use cases for team members
```
## Validation Checks
Before finalizing:
1. **YAML Syntax**:
- Valid frontmatter delimiters (---)
- Proper field names (name, description, tools, model)
- Correct tool list format (comma-separated)
- Valid model value (sonnet/opus/haiku/inherit)
2. **Description Quality**:
- Includes role definition
- Contains activation triggers
- Has specific keywords
- Describes when to use
3. **System Prompt**:
- Clear role definition
- Structured responsibilities
- Step-by-step workflow
- Quality criteria
- Example scenarios
4. **Tool Restrictions**:
- Appropriate for task
- Not too restrictive
- Not unnecessarily permissive
- Consider security implications
## Notes
- **Context Isolation**: Each subagent has its own context window, preventing main conversation pollution
- **Automatic Invocation**: Claude Code proactively invokes subagents based on description and context
- **Explicit Invocation**: Users can request specific subagents: "Use the [name] subagent to..."
- **Priority**: Project-level subagents override user-level when names conflict
- **Tool Inheritance**: Omit `tools` field to inherit all available tools
- **Model Inheritance**: Use `model: inherit` to match parent conversation's model
- **Version Control**: Project subagents can be committed to git for team sharing
- **No Restart Needed**: Subagents are loaded dynamically
## Examples
```bash
# Interactive mode - guided creation with questions
/claude:create-subagent
# Auto mode - extract from recent code review work
/claude:create-subagent code-reviewer
# Create API testing specialist
/claude:create-subagent api-tester
# Create requirements analyst
/claude:create-subagent spec-analyst
# Create performance optimizer
/claude:create-subagent performance-optimizer
```
## Debugging Subagents
If Claude doesn't invoke your subagent:
1. **Check file location**:
```bash
ls -la ~/.claude/agents/[name].md
ls -la ./.claude/agents/[name].md
```
2. **Verify YAML syntax**:
```bash
head -10 ~/.claude/agents/[name].md
```
3. **Test description clarity**: Make it more specific with trigger keywords
4. **Explicit invocation test**: "Use the [name] subagent to [task]"
5. **Check tool restrictions**: Ensure required tools aren't blocked
6. **Review logs**: Run `claude --debug` for error messages
## Related Commands
- `/agents` - Built-in interactive agent manager
- `/claude:create-skill` - Create a skill (model-invoked instructions)
- `/claude:create-command` - Create a slash command (user-invoked)
## Skill vs. Subagent vs. Command
| Feature | Skill | Subagent | Slash Command |
|---------|-------|----------|---------------|
| **Invocation** | Model-invoked | Model-invoked | User-invoked |
| **Context** | Main conversation | Isolated context | Main conversation |
| **Use Case** | Domain expertise | Complex workflows | Quick automation |
| **Location** | `~/.claude/skills/` | `~/.claude/agents/` | `~/.claude/commands/` |
| **Format** | Folder with SKILL.md | Single .md file | Single .md file |
| **Best For** | Adding capabilities | Task specialization | User shortcuts |
Choose subagents when:
- Task requires isolated context (large operations)
- Multiple specialized roles needed (multi-agent coordination)
- Proactive invocation desired (automatic delegation)
- Different model needed for sub-task

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