Slash Command Factory

Slash Command Factory

A comprehensive system for generating production-ready Claude Code slash commands through a simple question-based workflow.

What This Skill Does

This skill helps you create custom slash commands for Claude Code by:

• Asking 5-7 straightforward questions about your command needs
• Generating complete command .md files with proper YAML frontmatter
• Providing 10 powerful preset commands for common use cases
• Validating command format and syntax
• Creating well-organized folder structures
• Offering installation guidance

Output: Complete slash commands ready to use in Claude Code

Official Command Structure Patterns

This skill generates commands following three official patterns from Anthropic documentation:

Pattern A: Simple (Context → Task)

Best for: Straightforward tasks with clear input/output Example: Code review, file updates, simple analysis Official Reference: code-review.md

Structure:

---
allowed-tools: Bash(git diff:*), Bash(git log:*)
description: Purpose description
---

## Context
- Current state: !`bash command`
- Additional data: !`another command`

## Your task
[Clear instructions with numbered steps]
[Success criteria]

When to use:

• Simple, focused tasks
• Quick analysis or reviews
• Straightforward workflows
• 1-3 bash commands for context

Pattern B: Multi-Phase (Discovery → Analysis → Task)

Best for: Complex discovery and documentation tasks Example: Codebase analysis, comprehensive audits, system mapping Official Reference: codebase-analysis.md

Structure:

---
allowed-tools: Bash(find:*), Bash(tree:*), Bash(ls:*), Bash(grep:*), Bash(wc:*), Bash(du:*)
description: Comprehensive purpose
---

# Command Title

## Phase 1: Project Discovery
### Directory Structure
!`find . -type d | sort`

### File Count Analysis
!`find . -type f | wc -l`

## Phase 2: Detailed Analysis
[More discovery commands]
[File references with @]

## Phase 3: Your Task
Based on all discovered information, create:

1. **Deliverable 1**
   - Subsection
   - Details

2. **Deliverable 2**
   - Subsection
   - Details

At the end, write output to [filename].md

When to use:

• Comprehensive analysis needed
• Multiple discovery phases
• Large amounts of context gathering
• 10+ bash commands for data collection
• Generate detailed documentation files

Pattern C: Agent-Style (Role → Process → Guidelines)

Best for: Specialized expert roles and coordination Example: Domain experts, orchestrators, specialized advisors Official Reference: openapi-expert.md

Structure:

---
name: command-name
description: |
  Multi-line description for complex purpose
  explaining specialized role
color: yellow
---

You are a [specialized role] focusing on [domain expertise].

**Core Responsibilities:**

1. **Responsibility Area 1**
   - Specific tasks
   - Expected outputs

2. **Responsibility Area 2**
   - Specific tasks
   - Expected outputs

**Working Process:**

1. [Step 1 in workflow]
2. [Step 2 in workflow]
3. [Step 3 in workflow]

**Important Considerations:**

- [Guideline 1]
- [Guideline 2]
- [Constraint or best practice]

When you encounter [scenario], [action to take].

When to use:

• Need specialized domain expertise
• Orchestrating complex workflows
• Coordinating multiple sub-processes
• Acting as expert advisor
• Require specific procedural guidelines

Comprehensive Naming Convention

Command File Naming Rules

All slash command files MUST follow kebab-case convention:

Format: [verb]-[noun].md, [noun]-[verb].md, or [domain]-[action].md

Rules:

1. Case: Lowercase only with hyphens as separators
2. Length: 2-4 words maximum
3. Characters: Only [a-z0-9-] allowed (letters, numbers, hyphens)
4. Start/End: Must begin and end with letter or number (not hyphen)
5. No: Spaces, underscores, camelCase, TitleCase, or special characters

Conversion Algorithm

User Input → Command Name

Input: "Analyze customer feedback and generate insights"
↓
1. Extract action: "analyze"
2. Extract target: "feedback"
3. Combine: "analyze-feedback"
4. Validate: Matches [a-z0-9-]+ pattern ✓
5. Output: analyze-feedback.md

More Examples:

• "Review pull requests" → pr-review.md or review-pr.md
• "Generate API documentation" → api-document.md or document-api.md
• "Update README files" → update-readme.md or readme-update.md
• "Audit security compliance" → security-audit.md or compliance-audit.md
• "Research market trends" → research-market.md or market-research.md
• "Analyze code quality" → code-analyze.md or analyze-code.md

Official Examples (From Anthropic Docs)

Correct:

• ✅ code-review.md (verb-noun)
• ✅ codebase-analysis.md (noun-noun compound)
• ✅ update-claude-md.md (verb-noun-qualifier)
• ✅ openapi-expert.md (domain-role)

Incorrect:

• ❌ code_review.md (snake_case - wrong)
• ❌ CodeReview.md (PascalCase - wrong)
• ❌ codeReview.md (camelCase - wrong)
• ❌ review.md (too vague - needs target)
• ❌ analyze-customer-feedback-data.md (too long - >4 words)

Bash Permission Patterns

Critical Rule: No Wildcards

❌ NEVER ALLOWED:

allowed-tools: Bash

This wildcard permission is prohibited per official Anthropic patterns.

✅ ALWAYS REQUIRED:

allowed-tools: Bash(git status:*), Bash(git diff:*), Bash(git log:*)

Must specify exact commands with wildcards only for subcommands.

Official Permission Patterns

Based on Anthropic's documented examples:

Git Operations (code-review, update-docs):

allowed-tools: Bash(git status:*), Bash(git diff:*), Bash(git log:*), Bash(git branch:*), Bash(git add:*), Bash(git commit:*)

File Discovery (codebase-analysis):

allowed-tools: Bash(find:*), Bash(tree:*), Bash(ls:*), Bash(du:*)

Content Analysis (comprehensive discovery):

allowed-tools: Bash(grep:*), Bash(wc:*), Bash(head:*), Bash(tail:*), Bash(cat:*)

Data Processing (custom analysis):

allowed-tools: Bash(awk:*), Bash(sed:*), Bash(sort:*), Bash(uniq:*)

Combined Patterns (multi-phase commands):

allowed-tools: Bash(find:*), Bash(tree:*), Bash(ls:*), Bash(grep:*), Bash(wc:*), Bash(du:*), Bash(head:*), Bash(tail:*), Bash(cat:*), Bash(touch:*)

Permission Selection Guide

Two Paths to Generate Commands

Path 1: Quick-Start Presets (30 seconds)

Choose from 10 powerful preset commands:

Business & Research:

1. /research-business - Comprehensive market research and competitive analysis
2. /research-content - Multi-platform content trend analysis and SEO strategy

Healthcare & Compliance: 3. /medical-translate - Translate medical terminology to 8th-10th grade (German/English) 4. /compliance-audit - HIPAA/GDPR/DSGVO compliance validation

Development & Integration: 5. /api-build - Generate complete API integration code with tests 6. /test-auto - Auto-generate comprehensive test suites

Documentation & Knowledge: 7. /docs-generate - Automated documentation creation 8. /knowledge-mine - Extract and structure insights from documents

Workflow & Productivity: 9. /workflow-analyze - Analyze and optimize business processes 10. /batch-agents - Launch and coordinate multiple agents for complex tasks

Path 2: Custom Command (5-7 Questions)

Create a completely custom command for your specific needs.

Question Flow (Custom Path)

Question 1: Command Purpose

"What should this slash command do?

Be specific about its purpose and when you'll use it.

Examples:

• 'Analyze customer feedback and generate actionable insights'
• 'Generate HIPAA-compliant API documentation'
• 'Research market trends and create content strategy'
• 'Extract key insights from research papers'

Your command's purpose: ___"

Question 2: Arguments (Auto-Determined)

The skill automatically determines if your command needs arguments based on the purpose.

If arguments are needed, they will use $ARGUMENTS format:

• User types: /your-command argument1 argument2
• Command receives: $ARGUMENTS = "argument1 argument2"

Examples:

• /research-business "Tesla" "EV market" → $ARGUMENTS = "Tesla EV market"
• /medical-translate "Myokardinfarkt" "de" → $ARGUMENTS = "Myokardinfarkt de"

No user input needed - skill decides intelligently.

Question 3: Which Tools?

"Which Claude Code tools should this command use?

Available tools:

• Read - Read files
• Write - Create files
• Edit - Modify files
• Bash - Execute shell commands (MUST specify exact commands)
• Grep - Search code
• Glob - Find files by pattern
• Task - Launch agents

CRITICAL: For Bash, you MUST specify exact commands, not wildcards.

Bash Examples:

• ✅ Bash(git status:), Bash(git diff:), Bash(git log:*)
• ✅ Bash(find:), Bash(tree:), Bash(ls:*)
• ✅ Bash(grep:), Bash(wc:), Bash(head:*)
• ❌ Bash (wildcard not allowed per official patterns)

Tool Combination Examples:

• Git command: Read, Bash(git status:), Bash(git diff:)
• Code generator: Read, Write, Edit
• Discovery command: Bash(find:), Bash(tree:), Bash(grep:*)
• Analysis command: Read, Grep, Task (launch agents)

Your tools (comma-separated): ___"

Question 4: Agent Integration

"Does this command need to launch agents for specialized tasks?

Examples of when to use agents:

• Complex analysis (launch rr-architect, rr-security)
• Implementation tasks (launch rr-frontend, rr-backend)
• Quality checks (launch rr-qa, rr-test-runner)

Options:

1. No agents - Command handles everything itself
2. Launch agents - Delegate to specialized agents

Your choice (1 or 2): ___"

If "2", ask: "Which agents should it launch? ___"

Question 5: Output Type

"What type of output should this command produce?

1. Analysis - Research report, insights, recommendations
2. Files - Generated code, documentation, configs
3. Action - Execute tasks, run workflows, deploy
4. Report - Structured report with findings and next steps

Your choice (1, 2, 3, or 4): ___"

Question 6: Model Preference (Optional)

"Which Claude model should this command use?

1. Default - Inherit from main conversation (recommended)
2. Sonnet - Best for complex tasks
3. Haiku - Fastest, cheapest (for simple commands)
4. Opus - Maximum capability (for critical tasks)

Your choice (1, 2, 3, or 4) or press Enter for default: ___"

Question 7: Additional Features (Optional)

"Any special features?

Optional features:

• Bash execution - Run shell commands and include output (!command)
• File references - Include file contents (@file.txt)
• Context gathering - Read project files for context

Features you need (comma-separated) or press Enter to skip: ___"

Generation Process

After collecting answers:

1. Generate YAML Frontmatter:

---
description: [From command purpose]
argument-hint: [If $ARGUMENTS needed]
allowed-tools: [From tool selection]
model: [If specified]
---

2. Generate Command Body:

[Purpose-specific instructions]

[If uses agents]:
1. **Launch [agent-name]** with [specific task]
2. Coordinate workflow
3. Validate results

[If uses bash]:
- Context: !`bash command`

[If uses file refs]:
- Review: @file.txt

Success Criteria: [Based on output type]

3. Create Folder Structure:

generated-commands/[command-name]/
├── [command-name].md    # Command file (ROOT)
├── README.md            # Installation guide (ROOT)
├── TEST_EXAMPLES.md     # Testing examples (ROOT)
└── [folders if needed]  # standards/, examples/, scripts/

4. Validate Format:

• ✅ YAML frontmatter valid
• ✅ $ARGUMENTS syntax correct (if used)
• ✅ allowed-tools format proper
• ✅ Folder organization clean

5. Provide Installation Instructions:

Your command is ready!

Output location: generated-commands/[command-name]/

To install:
1. Copy the command file:
   cp generated-commands/[command-name]/[command-name].md .claude/commands/

2. Restart Claude Code (if already running)

3. Test:
   /[command-name] [arguments]

Preset Command Details

1. /research-business

Purpose: Comprehensive business and market research

Arguments: $ARGUMENTS (company or market to research)

YAML:

---
description: Comprehensive business and market research with competitor analysis
argument-hint: [company/market] [industry]
allowed-tools: Read, Bash, Grep
---

What it does:

• Market size and trends analysis
• Competitor SWOT analysis
• Opportunity identification
• Industry landscape overview
• Strategic recommendations

2. /research-content

Purpose: Multi-platform content trend analysis

Arguments: $ARGUMENTS (topic to research)

YAML:

---
description: Multi-platform content trend analysis for data-driven content strategy
argument-hint: [topic] [platforms]
allowed-tools: Read, Bash
---

What it does:

• Analyze trends across Google, Reddit, YouTube, Medium, LinkedIn, X
• User intent analysis (informational, commercial, transactional)
• Content gap identification
• SEO-optimized outline generation
• Platform-specific publishing strategies