Claude-Command-Suite

🥈Silver

Professional slash commands for Claude Code that provide structured workflows for software development tasks including code review, feature creation, security auditing, and architectural analysis.

1,124880Updated 6d ago

Intermediate30min to implementautomation

Saves ~50 min per use

Quick InstallView Source

git clone https://github.com/qdhenry/Claude-Command-Suite.git

Works with:

Claude

Overview

About This Skill

.claude/commands/skills/README.md

How to Use

[{"step":"Install the Claude-Command-Suite by running `claude install claude-command-suite` in your terminal. Ensure you have Claude Code installed and authenticated.","tip":"Verify installation by running `claude /help` to see the full list of available commands."},{"step":"Navigate to your project directory and run the first command based on your task. For example, `claude /code-review ./my-project` to analyze code quality.","tip":"Use absolute paths for project directories to avoid path resolution issues. Add `--verbose` flag for detailed logs."},{"step":"Review the output and identify critical issues or action items. Use the findings to refine your next command. For example, if the code review flags a security issue, run `claude /security-audit ./my-project` to dig deeper.","tip":"Focus on high-severity issues first (e.g., memory leaks, SQL injection). Use the `--severity high` flag to filter results."},{"step":"Iterate through the workflow by running subsequent commands in sequence. For architectural analysis, use `claude /architectural-analysis ./my-project` to generate a high-level system overview.","tip":"Combine commands with logical operators (e.g., `claude /code-review ./my-project && claude /security-audit ./my-project`) to chain workflows."},{"step":"Implement fixes based on the AI-generated recommendations. Use the output as a checklist to track progress.","tip":"Save the output to a file (e.g., `claude /code-review ./my-project > code-review-report.txt`) for documentation and team sharing."}]

Use Cases

Automate code reviews to ensure consistent quality and adherence to best practices.

Generate test cases automatically to improve test coverage and reduce manual effort.

Conduct security audits to identify vulnerabilities in the codebase before deployment.

Synchronize tasks between GitHub and Linear for seamless project management.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/qdhenry/Claude-Command-Suite

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use the Claude-Command-Suite to [TASK]. Run the following commands in sequence: 
1. `claude /code-review [PROJECT_PATH]`
2. `claude /security-audit [PROJECT_PATH]`
3. `claude /architectural-analysis [PROJECT_PATH]`
4. `claude /feature-create [FEATURE_NAME] [PROJECT_PATH]`

After each command, review the output and refine the next step based on findings. Focus on [SPECIFIC_FOCUS_AREA] such as performance bottlenecks or security vulnerabilities.

Example Output

### Code Review Report for Project: `acme-ecommerce`

**Critical Issues (3):**
1. **Memory Leak in Checkout Service** (Line 42, `checkout.py`): The `Cart` class fails to clear session data after order completion, causing memory bloat. Suggested fix: Add `session.clear()` in `process_order()`.
2. **SQL Injection Vulnerability** (Line 112, `user_dao.py`): User input in `search_users()` is concatenated directly into SQL. Recommend using parameterized queries with `psycopg2`.
3. **Race Condition in Inventory Update** (Line 78, `inventory_service.py`): No locking mechanism during stock decrement. Fix: Implement `threading.Lock` or use database transactions.

**Performance Bottlenecks:**
- API endpoint `/products` averages 800ms response time due to unoptimized database queries. Suggest adding an index on `product_category` and caching hot products with Redis.

**Security Audit Findings:**
- 2 out of 5 endpoints lack rate limiting (CWE-770). Recommend integrating `flask-limiter`.
- Hardcoded API keys in `config.py` (lines 45-47). Replace with environment variables.

**Architectural Analysis:**
- Monolithic structure limits scalability. Consider microservices for `auth`, `inventory`, and `payment` domains.
- No observability tools integrated. Add Prometheus metrics and structured logging.

**Feature Creation Plan for `subscription-tier`:**
1. Generate new endpoint `/subscriptions` with Stripe integration.
2. Add tier validation logic in `billing_service.py`.
3. Update frontend to display tier options in `/pricing`.

**Next Steps:**
- Prioritize memory leak fix (P0) and deploy within 24 hours.
- Schedule security patch for next sprint.
- Refactor inventory service to use optimistic locking.