command-creator
This skill should be used when creating a Claude Code slash command. Use when users ask to "create a command", "make a slash command", "add a command", or want to document a workflow as a reusable command. Essential for creating optimized, agent-executable slash commands with proper structure and best practices.
Best use case
command-creator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
This skill should be used when creating a Claude Code slash command. Use when users ask to "create a command", "make a slash command", "add a command", or want to document a workflow as a reusable command. Essential for creating optimized, agent-executable slash commands with proper structure and best practices.
Teams using command-creator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/command-creator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How command-creator Compares
| Feature / Agent | command-creator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
This skill should be used when creating a Claude Code slash command. Use when users ask to "create a command", "make a slash command", "add a command", or want to document a workflow as a reusable command. Essential for creating optimized, agent-executable slash commands with proper structure and best practices.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Command Creator This skill guides the creation of Claude Code slash commands - reusable workflows that can be invoked with `/command-name` in Claude Code conversations. ## About Slash Commands Slash commands are markdown files stored in `.claude/commands/` (project-level) or `~/.claude/commands/` (global/user-level) that get expanded into prompts when invoked. They're ideal for: - Repetitive workflows (code review, PR submission, CI fixing) - Multi-step processes that need consistency - Agent delegation patterns - Project-specific automation ## When to Use This Skill Invoke this skill when users: - Ask to "create a command" or "make a slash command" - Want to automate a repetitive workflow - Need to document a consistent process for reuse - Say "I keep doing X, can we make a command for it?" - Want to create project-specific or global commands ## Bundled Resources This skill includes reference documentation for detailed guidance: - **references/patterns.md** - Command patterns (workflow automation, iterative fixing, agent delegation, simple execution) - **references/examples.md** - Real command examples with full source (submit-stack, ensure-ci, create-implementation-plan) - **references/best-practices.md** - Quality checklist, common pitfalls, writing guidelines, template structure Load these references as needed when creating commands to understand patterns, see examples, or ensure quality. ## Command Structure Overview Every slash command is a markdown file with: ```markdown --- description: Brief description shown in /help (required) argument-hint: <placeholder> (optional, if command takes arguments) --- # Command Title [Detailed instructions for the agent to execute autonomously] ``` ## Command Creation Workflow ### Step 1: Determine Location **Auto-detect the appropriate location:** 1. Check git repository status: `git rev-parse --is-inside-work-tree 2>/dev/null` 2. Default location: - If in git repo → Project-level: `.claude/commands/` - If not in git repo → Global: `~/.claude/commands/` 3. Allow user override: - If user explicitly mentions "global" or "user-level" → Use `~/.claude/commands/` - If user explicitly mentions "project" or "project-level" → Use `.claude/commands/` Report the chosen location to the user before proceeding. ### Step 2: Show Command Patterns Help the user understand different command types. Load **references/patterns.md** to see available patterns: - **Workflow Automation** - Analyze → Act → Report (e.g., submit-stack) - **Iterative Fixing** - Run → Parse → Fix → Repeat (e.g., ensure-ci) - **Agent Delegation** - Context → Delegate → Iterate (e.g., create-implementation-plan) - **Simple Execution** - Run command with args (e.g., codex-review) Ask the user: "Which pattern is closest to what you want to create?" This helps frame the conversation. ### Step 3: Gather Command Information Ask the user for key information: #### A. Command Name and Purpose Ask: - "What should the command be called?" (for filename) - "What does this command do?" (for description field) Guidelines: - Command names MUST be kebab-case (hyphens, NOT underscores) - ✅ CORRECT: `submit-stack`, `ensure-ci`, `create-from-plan` - ❌ WRONG: `submit_stack`, `ensure_ci`, `create_from_plan` - File names match command names: `my-command.md` → invoked as `/my-command` - Description should be concise, action-oriented (appears in `/help` output) #### B. Arguments Ask: - "Does this command take any arguments?" - "Are arguments required or optional?" - "What should arguments represent?" If command takes arguments: - Add `argument-hint: <placeholder>` to frontmatter - Use `<angle-brackets>` for required arguments - Use `[square-brackets]` for optional arguments #### C. Workflow Steps Ask: - "What are the specific steps this command should follow?" - "What order should they happen in?" - "What tools or commands should be used?" Gather details about: - Initial analysis or checks to perform - Main actions to take - How to handle results - Success criteria - Error handling approach #### D. Tool Restrictions and Guidance Ask: - "Should this command use any specific agents or tools?" - "Are there any tools or operations it should avoid?" - "Should it read any specific files for context?" ### Step 4: Generate Optimized Command Create the command file with agent-optimized instructions. Load **references/best-practices.md** for: - Template structure - Best practices for agent execution - Writing style guidelines - Quality checklist Key principles: - Use imperative/infinitive form (verb-first instructions) - Be explicit and specific - Include expected outcomes - Provide concrete examples - Define clear error handling ### Step 5: Create the Command File 1. Determine full file path: - Project: `.claude/commands/[command-name].md` - Global: `~/.claude/commands/[command-name].md` 2. Ensure directory exists: ```bash mkdir -p [directory-path] ``` 3. Write the command file using the Write tool 4. Confirm with user: - Report the file location - Summarize what the command does - Explain how to use it: `/command-name [arguments]` ### Step 6: Test and Iterate (Optional) If the user wants to test: 1. Suggest testing: `You can test this command by running: /command-name [arguments]` 2. Be ready to iterate based on feedback 3. Update the file with improvements as needed ## Quick Tips **For detailed guidance, load the bundled references:** - Load **references/patterns.md** when designing the command workflow - Load **references/examples.md** to see how existing commands are structured - Load **references/best-practices.md** before finalizing to ensure quality **Common patterns to remember:** - Use Bash tool for `pytest`, `pyright`, `ruff`, `prettier`, `make`, `gt` commands - Use Task tool to invoke subagents for specialized tasks - Check for specific files first (e.g., `.PLAN.md`) before proceeding - Mark todos complete immediately, not in batches - Include explicit error handling instructions - Define clear success criteria ## Summary When creating a command: 1. **Detect location** (project vs global) 2. **Show patterns** to frame the conversation 3. **Gather information** (name, purpose, arguments, steps, tools) 4. **Generate optimized command** with agent-executable instructions 5. **Create file** at appropriate location 6. **Confirm and iterate** as needed Focus on creating commands that agents can execute autonomously, with clear steps, explicit tool usage, and proper error handling.
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