V3 CLI Modernization

Modernizes claude-flow v3 CLI with modular commands, interactive prompts, and hooks integration.

Updated Mar 25, 2026
One-click install
npx skills add https://github.com/dmuhoro/EasyTutor --skill v3-cli-modernization-dmuhoro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: V3 CLI Modernization
Source: https://github.com/dmuhoro/EasyTutor/tree/main/archive/.claude/skills/v3-cli-modernization
Command: npx skills add https://github.com/dmuhoro/EasyTutor --skill v3-cli-modernization-dmuhoro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires inquirer, cli-progress, chalk.

What problem does it solve? The claude-flow v3 CLI suffers from monolithic command files (index.ts at 108KB), limited interactivity, basic hooks integration, and no intelligent workflow automation, making it slow and hard to maintain. ## Core Features & Use Cases - Modular Command Architecture: Decomposes large CLI files into focused command modules under 500 lines each, with a registry supporting categories, aliases, and fuzzy matching. - Interactive Prompt System: Provides context-aware select, multiselect, input, and progress prompts using inquirer and cli-progress for guided CLI experiences. - Enhanced Hooks & Learning Integration: Deep lifecycle hooks record command trajectories, submit reinforcement learning feedback, and generate intelligent suggestions based on execution patterns. - Workflow Automation: Orchestrates multi-step command workflows with dependency resolution, retry policies, and intent-based workflow generation. - Use Case: A developer runs claude-flow swarm init --interactive and is guided through topology selection and agent configuration, while hooks record the session for learning-based future suggestions. ## Quick Start Ask the AI to analyze the current CLI structure and implement modular commands, interactive prompts, and intelligent workflow automation using the cli-hooks-developer agent.

Frequently Asked Questions about V3 CLI Modernization

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

FAQPage Schema
How do I decompose a monolithic CLI file into modular commands?

Create a ModularCommandRegistry that registers CommandModule objects with name, category, handler, and middleware. Split each command into its own file under 500 lines, then register them by category with alias and fuzzy-match resolution.

How to add interactive prompts to a Node.js CLI?

Use an InteractivePromptService wrapping inquirer for select, multiselect, input, and confirm prompts, with dynamic imports for tree-shaking. Add cli-progress for progress bars during long-running tasks.

Can CLI hooks integrate with a reinforcement learning system?

Yes. Register hooks for command_start, command_end, and command_error events that record trajectories and submit reward feedback to a learning service. Rewards are calculated from success, execution time, and command complexity.

How do I automate multi-step CLI workflows with dependencies?

Use a WorkflowOrchestrator that sorts steps by dependencies, evaluates conditions, and executes each step with configurable retry policies. Workflows can also be generated from natural-language intent by matching stored patterns.

What are the limitations of learning-based CLI auto-completion?

Learning-based completion depends on sufficient recorded execution history to produce confident suggestions, and cold-start contexts fall back to exact prefix matches. Suggestions are capped at the top 10 by confidence score.