customaize-agent:create-command▌
neolabhq/context-engineering-kit · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
This meta-command helps create other commands by:
Command Creator Assistant
This meta-command helps create other commands by:
- Understanding the command's purpose
- Determining its category and pattern
- Choosing command location (project vs user)
- Generating the command file
- Creating supporting resources
- Updating documentation
<command_categories>
-
Planning Commands (Specialized)
- Feature ideation, proposals, PRDs
- Complex workflows with distinct stages
- Interactive, conversational style
- Create documentation artifacts
- Examples: @/.claude/commands/01_brainstorm-feature.md @/.claude/commands/02_feature-proposal.md
-
Implementation Commands (Generic with Modes)
- Technical execution tasks
- Mode-based variations (ui, core, mcp, etc.)
- Follow established patterns
- Update task states
- Example: @/.claude/commands/implement.md
-
Analysis Commands (Specialized)
- Review, audit, analyze
- Generate reports or insights
- Read-heavy operations
- Provide recommendations
- Example: @/.claude/commands/review.md
-
Workflow Commands (Specialized)
- Orchestrate multiple steps
- Coordinate between areas
- Manage dependencies
- Track progress
- Example: @/.claude/commands/04_feature-planning.md
-
Utility Commands (Generic or Specialized)
- Tools, helpers, maintenance
- Simple operations
- May or may not need modes </command_categories>
<command_frontmatter>
CRITICAL: Every Command Must Start with Frontmatter
All command files MUST begin with YAML frontmatter enclosed in --- delimiters:
---
description: Brief description of what the command does
argument-hint: Description of expected arguments (optional)
---
Frontmatter Fields
-
description(REQUIRED):- One-line summary of the command's purpose
- Clear, concise, action-oriented
- Example: "Guided feature development with codebase understanding and architecture focus"
-
argument-hint(OPTIONAL):- Describes what arguments the command accepts
- Examples:
- "Optional feature description"
- "File path to analyze"
- "Component name and location"
- "None required - interactive mode"
Example Frontmatter by Command Type
# Planning Command
---
description: Interactive brainstorming session for new feature ideas
argument-hint: Optional initial feature concept
---
# Implementation Command
---
description: Implements features using mode-based patterns (ui, core, mcp)
argument-hint: Mode and feature description (e.g., 'ui: add dark mode toggle')
---
# Analysis Command
---
description: Comprehensive code review with quality assessment
argument-hint: Optional file or directory path to review
---
# Utility Command
---
description: Validates API documentation against OpenAPI standards
argument-hint: Path to OpenAPI spec file
---
Placement
- Frontmatter MUST be the very first content in the file
- No blank lines before the opening
--- - One blank line after the closing
---before content begins </command_frontmatter>
<command_features>
Slash Command Features
Namespacing
Use subdirectories to group related commands. Subdirectories appear in the command description but don't affect the command name.
Example:
.claude/commands/frontend/component.mdcreates/componentwith description "(project:frontend)"~/.claude/commands/component.mdcreates/componentwith description "(user)"
Priority: If a project command and user command share the same name, the project command takes precedence.
Arguments
All Arguments with $ARGUMENTS
Captures all arguments passed to the command:
# Command definition
echo 'Fix issue #$ARGUMENTS following our coding standards' > .claude/commands/fix-issue.md
# Usage
> /fix-issue 123 high-priority
# $ARGUMENTS becomes: "123 high-priority"
Individual Arguments with $1, $2, etc.
Access specific arguments individually using positional parameters:
# Command definition
echo 'Review PR #$1 with priority $2 and assign to $3' > .claude/commands/review-pr.md
# Usage
> /review-pr 456 high alice
# $1 becomes "456", $2 becomes "high", $3 becomes "alice"
Bash Command Execution
Execute bash commands before the slash command runs using the ! prefix. The output is included in the command context.
Note: You must include allowed-tools with the Bash tool.
---
allowed-tools: Bash(git add:*), Bash(git status:*), Bash(git commit:*)
description: Create a git commit
---
## Context
- Current git status: !`git status`
- Current git diff: !`git diff HEAD`
- Current branch: !`git branch --show-current`
- Recent commits: !`git log --oneline -10`
File References
Include file contents using the @ prefix to reference files:
Review the implementation in @src/utils/helpers.js
Compare @src/old-version.js with @src/new-version.js
Thinking Mode
Slash commands can trigger extended thinking by including extended thinking keywords.
Frontmatter Options
| Frontmatter | Purpose | Default |
|---|---|---|
allowed-tools |
List of tools the command can use | Inherits from conversation |
argument-hint |
Expected arguments for auto-completion | None |
description |
Brief description of the command | First line from prompt |
model |
Specific model string | Inherits from conversation |
disable-model-invocation |
Prevent Skill tool from calling this command |
false |
Example with all frontmatter options:
---
allowed-tools: Bash(git add:*), Bash(git status:*), Bash(git commit:*)
argument-hint: [message]
description: Create a git commit
model: claude-3-5-haiku-20241022
---
Create a git commit with message: $ARGUMENTS
</command_features>
<pattern_research>
Before Creating: Study Similar Commands
-
List existing commands in target directory:
# For project commands ls -la /.claude/commands/ # For user commands ls -la ~/.claude/commands/ -
Read similar commands for patterns:
- Check the frontmatter (description and argument-hint)
- How do they structure sections?
- What MCP tools do they use?
- How do they handle arguments?
- What documentation do they reference?
-
Common patterns to look for:
# MCP tool usage for tasks Use tool: mcp__scopecraft-cmd__task_create Use tool: mcp__scopecraft-cmd__task_update Use tool: mcp__scopecraft-cmd__task_list # NOT CLI commands ❌ Run: scopecraft task list ✅ Use tool: mcp__scopecraft-cmd__task_list -
Standard references to include:
- @/docs/organizational-structure-guide.md
- @/docs/command-resources/{relevant-templates}
- @/docs/claude-commands-guide.md </pattern_research>
<interview_process>
Phase 1: Understanding Purpose
"Let's create a new command. First, let me check what similar commands exist..."
Use Glob to find existing commands in the target category
"Based on existing patterns, please describe:"
- What problem does this command solve?
- Who will use it and when?
- What's the expected output?
- Is it interactive or batch?
Phase 2: Category Classification
Based on responses and existing examples:
- Is this like existing planning commands? (Check: brainstorm-feature, feature-proposal)
- Is this like implementation commands? (Check: implement.md)
- Does it need mode variations?
- Should it follow analysis patterns? (Check: review.md)
Phase 3: Pattern Selection
Study similar commands first:
# Read a similar command
@{similar-command-path}
# Note patterns:
- Task description style
- Argument handling
- MCP tool usage
- Documentation references
- Human review sections
Phase 4: Command Location
🎯 Critical Decision: Where should this command live?
Project Command (/.claude/commands/)
- Specific to this project's workflow
- Uses project conventions
- References project documentation
- Integrates with project MCP tools
User Command (~/.claude/commands/)
- General-purpose utility
- Reusable across projects
- Personal productivity tool
- Not project-specific
Ask: "Should this be:
- A project command (specific to this codebase)
- A user command (available in all projects)?"
Phase 5: Resource Planning
Check existing resources:
# Check templates
ls -la /docs/command-resources/planning-templates/
ls -la /docs/command-resources/implement-modes/
# Check which guides exist
ls -la /docs/
</interview_process>
<generation_patterns>
Critical: Copy Patterns from Similar Commands
Before generating, read similar commands and note:
-
Frontmatter (MUST BE FIRST):
--- description: Clear one-line description of command purpose argument-hint: What arguments does it accept ---- No blank lines before opening
--- - One blank line after closing
--- descriptionis REQUIREDargument-hintis OPTIONAL
- No blank lines before opening
-
MCP Tool Usage:
# From existing commands Use mcp__scopecraft-cmd__task_create Use mcp__scopecraft-cmd__feature_get Use mcp__scopecraft-cmd__phase_list -
Standard References:
<context> Key Reference: @/docs/organizational-structure-guide.md Template: @/docs/command-resources/planning-templates/{template}.md Guide: @/docs/claude-commands-guide.md </context> -
Task Update Patterns:
<task_updates> After implementation: 1. Update task status to appropriate state 2. Add implementation log entries 3. Mark checklist items as complete 4. Document any decisions made </task_updates> -
Human Review Sections:
<human_review_needed> Flag decisions needing verification: - [ ] Assumptions about workflows
How to use customaize-agent:create-command on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add customaize-agent:create-command
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches customaize-agent:create-command from GitHub repository neolabhq/context-engineering-kit and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate customaize-agent:create-command. Access the skill through slash commands (e.g., /customaize-agent:create-command) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★73 reviews- ★★★★★Arya Kim· Dec 28, 2024
We added customaize-agent:create-command from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Zara Sethi· Dec 28, 2024
Solid pick for teams standardizing on skills: customaize-agent:create-command is focused, and the summary matches what you get after install.
- ★★★★★Dev Wang· Dec 24, 2024
Keeps context tight: customaize-agent:create-command is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ava Iyer· Dec 16, 2024
customaize-agent:create-command has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Yusuf Lopez· Dec 8, 2024
customaize-agent:create-command fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ren Singh· Dec 4, 2024
We added customaize-agent:create-command from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Arya Yang· Dec 4, 2024
customaize-agent:create-command reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Zara Reddy· Nov 27, 2024
customaize-agent:create-command is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Chen Garcia· Nov 23, 2024
Solid pick for teams standardizing on skills: customaize-agent:create-command is focused, and the summary matches what you get after install.
- ★★★★★Arjun Singh· Nov 23, 2024
Keeps context tight: customaize-agent:create-command is the kind of skill you can hand to a new teammate without a long onboarding doc.
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