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Creating Slash Commands

@jack-michaud/faire
1
0

Build custom slash commands in Claude Code with YAML frontmatter, permissions, and best practices. Use when creating automation workflows, project-specific commands, or standardizing repetitive tasks.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name Creating Slash Commands
description Build custom slash commands in Claude Code with YAML frontmatter, permissions, and best practices. Use when creating automation workflows, project-specific commands, or standardizing repetitive tasks.

Creating Slash Commands

Overview

Slash commands automate workflows by encapsulating multi-step processes into reusable commands. They support YAML frontmatter for permissions, can integrate with CLI tools, and enable sophisticated decision logic.

When to Use

  • Automate repetitive multi-step workflows
  • Standardize team processes (issue triage, PR reviews, etc.)
  • Integrate external tools (GitHub CLI, git, custom scripts)
  • Create project-specific automation patterns

Process

  1. Create command file in .claude/commands/[name].md
  2. Add YAML frontmatter with permissions and description
  3. Write command prompt with clear steps and decision logic
  4. Use $ARGUMENTS variable for dynamic input
  5. Test command with /<command-name> [args]

Command Structure

Basic Template

# .claude/commands/my-command.md
---
allowed-tools: Bash(git:*),Read,Edit
description: Brief description of what this command does
---

Command instructions here. Use $ARGUMENTS to reference user input.

Steps:
1. First action
2. Second action
3. Final action

YAML Frontmatter Fields

  • allowed-tools: Restrict which tools the command can use
    • Examples: Bash(gh:*), Bash(git:*), Read, Edit, Write
    • Use wildcards: Bash(pytest:*) allows any pytest command
  • description: One-line summary shown in command list

Permission Patterns

# Specific command only
allowed-tools: Bash(gh issue view:*)

# Multiple related commands
allowed-tools: Bash(gh issue view:*),Bash(gh issue comment:*)

# Tool categories
allowed-tools: Read,Edit,Grep,Glob

# Combined patterns
allowed-tools: Bash(git:*),Bash(gh:*),Read,Write

Reference Example: Issue Triage Command

This project's /plan-issue demonstrates sophisticated automation:

# .claude/commands/plan-issue.md
---
allowed-tools: Bash(gh issue view:*),Bash(gh issue comment:*)
description: Respond to a github issue with a plan of action
---

You are an expert software developer and project manager. Respond to GitHub issue $ARGUMENTS with a detailed plan. Steps:
1. Fetch issue: `gh issue view <issue-number>`
2. Analyze description and comments
3. Comment you're working on a plan: `gh issue comment <issue-number> --body "<your-comment>"`
4. Review codebase for context
5. Assess clarity: Need more info?
  - Yes: Comment clarifying questions, stop and wait
  - No: Proceed to step 6
6. Break down into smaller tasks
7. Comment detailed plan: `gh issue comment <issue-number> --body "<your-plan>"` with:
  - Issue summary
  - Resolution steps
  - Dependencies and considerations

Key strengths:

  • Specific tool permissions (only issue view/comment)
  • Multi-step workflow with decision branching
  • GitHub CLI integration
  • Context-aware (reads codebase before planning)
  • Conditional logic (asks questions when unclear)

Best Practices

Permissions

  • Do: Use specific tool permissions to limit scope
  • Do: Use wildcards for command families (Bash(git:*))
  • Don't: Grant broad permissions without reason

Command Design

  • Do: Include decision logic for complex workflows
  • Do: Read relevant context before taking action
  • Do: Use CLI tool integration (gh, git, etc.)
  • Don't: Assume context without verification
  • Don't: Skip validation steps

Structure

  • Do: Number steps clearly
  • Do: Use $ARGUMENTS for user input
  • Do: Include clear success criteria
  • Don't: Write vague instructions
  • Don't: Omit error handling guidance

Integration Patterns

With Skills

Reference skill files in commands:

---
description: Review code using TDD skill
---

1. Read skill: .claude/skills/testing/test-driven-development.md
2. Apply skill to files: $ARGUMENTS
3. Report findings

With GitHub CLI

---
allowed-tools: Bash(gh:*)
---

1. Fetch PR: `gh pr view $ARGUMENTS`
2. Get diff: `gh pr diff $ARGUMENTS`
3. Review and comment

With Git

---
allowed-tools: Bash(git:*)
---

1. Check status: `git status`
2. Stage changes: `git add $ARGUMENTS`
3. Commit with message

Common Use Cases

Workflow Automation

  • Issue triage and planning
  • PR review orchestration
  • Release preparation
  • Testing workflows

Code Operations

  • Batch refactoring
  • Migration scripts
  • Code generation
  • Style enforcement

Project Management

  • Status reporting
  • Documentation generation
  • Dependency updates
  • Configuration management

Anti-patterns

  • Don't: Create commands for single-step tasks

    • Do: Reserve commands for multi-step workflows
  • Don't: Grant unlimited tool access

    • Do: Use specific allowed-tools restrictions
  • Don't: Skip context gathering

    • Do: Read relevant files before action
  • Don't: Write commands without decision logic

    • Do: Include conditional workflows for edge cases
  • Don't: Ignore error scenarios

    • Do: Specify what to do when things fail

Resources