V3 CLI Modernization

Modernize the claude-flow v3 CLI with modular commands, interactive prompts, and enhanced hooks.

1|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/Kling0012/MCRPG --skill v3-cli-modernization
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: V3 CLI Modernization
Source: https://github.com/Kling0012/MCRPG/tree/main/.claude/skills/v3-cli-modernization
Command: npx skills add https://github.com/Kling0012/MCRPG --skill v3-cli-modernization

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill modernizes the claude-flow v3 CLI by introducing modular command architecture, interactive prompts, enhanced hooks, and intelligent workflow automation to reduce manual overhead and improve developer experience.

Core Features & Use Cases

  • Modular Commands: Breaking large CLI files into focused modules with clear boundaries.
  • Interactive Prompts: Context-aware user interactions that guide configuration and workflows.
  • Enhanced Hooks: Deeper lifecycle integration for pre/post execution hooks and workflow automation.
  • Performance: Monitoring and optimization to keep responses fast during complex tasks.
  • Use Case: Automate a multi-step CLI operation, such as initializing a swarm, configuring learning workflows, and generating a workflow from an intent.

Quick Start

  • Task("CLI architecture", "Analyze current CLI structure and identify optimization opportunities", "cli-hooks-developer")
  • Task("Command decomposition", "Break down large CLI files into focused modules", "cli-hooks-developer")
  • Task("Interactive prompts", "Implement intelligent interactive CLI experience", "cli-hooks-developer")
  • Task("Hooks enhancement", "Deep integrate hooks with CLI lifecycle", "cli-hooks-developer")

Frequently Asked Questions about V3 CLI Modernization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I modernize a CLI with modular command architecture?

Modular command architecture breaks large CLI files into focused, independently managed modules with clear boundaries. This approach reduces complexity, improves maintainability, and enables teams to scale CLI projects without tangled dependencies. It's essential for CLIs handling multiple workflows or commands that evolve at different rates.

What are interactive prompts in CLI workflows and when should I use them?

Interactive prompts guide users through context-aware configuration and decision points during CLI execution. They reduce manual parameter entry, catch configuration errors early, and improve developer experience. Use them when your CLI requires multi-step initialization, conditional logic, or guided configuration workflows.

How do hooks integrate with CLI lifecycle management?

Hooks allow you to inject logic at specific lifecycle points—pre/post execution, before testing, after deployment—without modifying core command logic. Deep hook integration enables workflow automation, performance monitoring, and cross-cutting concerns like logging and error handling across your entire CLI.

Can I automate multi-step CLI operations like initialization and deployment together?

Yes. Workflow orchestration combines modular commands with hooks and intelligent prompts to automate complex sequences—such as initializing infrastructure, configuring workflows, and deploying outputs—as single coordinated operations, reducing manual overhead and improving consistency.

What's the difference between refactoring a monolithic CLI and building modular commands from scratch?

Refactoring a monolithic CLI requires identifying command boundaries and extracting logic into modules while preserving existing behavior and hooks. Building modular commands from scratch lets you design clear interfaces upfront. Both approaches benefit from the same architecture patterns: focused modules, lifecycle integration, and interactive guidance.

How do I monitor performance during complex CLI operations?

Performance monitoring tracks response times and resource usage across modular commands and hooks, identifying bottlenecks in multi-step workflows. Integrate monitoring into pre/post hooks or command lifecycle checkpoints to catch slowdowns in development, testing, and deployment scenarios without instrumenting individual commands.