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/v3-cli-modernization

CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.

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agentic-flow
84039 skills105 agents134 commands3 MCP

Claude Code

$ npx -y skills add ruvnet/agentic-flow --skill v3-cli-modernization --agent claude-code

SKILL.md

v3-cli-modernization.SKILL.md
name: "V3 CLI Modernization"
description: "CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation."

V3 CLI Modernization

What This Skill Does

Modernizes claude-flow v3 CLI with interactive prompts, intelligent command decomposition, enhanced hooks integration, performance optimization, and comprehensive workflow automation capabilities.

Quick Start

# Initialize CLI modernization analysis
Task("CLI architecture", "Analyze current CLI structure and identify optimization opportunities", "cli-hooks-developer")

# Modernization implementation (parallel)
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")

CLI Architecture Modernization

Current State Analysis

Current CLI Issues:
├── index.ts: 108KB monolithic file
├── enterprise.ts: 68KB feature module
├── Limited interactivity: Basic command parsing
├── Hooks integration: Basic pre/post execution
└── No intelligent workflows: Manual command chaining

Target Architecture:
├── Modular Commands: <500 lines per command
├── Interactive Prompts: Smart context-aware UX
├── Enhanced Hooks: Deep lifecycle integration
├── Workflow Automation: Intelligent command orchestration
└── Performance: <200ms command response time

Modular Command Architecture

// src/cli/core/command-registry.ts
interface CommandModule {
  name: string;
  description: string;
  category: CommandCategory;
  handler: CommandHandler;
  middleware: MiddlewareStack;
  permissions: Permission[];
  examples: CommandExample[];
}

export class ModularCommandRegistry {
  private commands = new Map<string, CommandModule>();
  private categories = new Map<CommandCategory, CommandModule[]>();
  private aliases = new Map<string, string>();

  registerCommand(command: CommandModule): void {
    this.commands.set(command.name, command);

    // Register in category index
    if (!this.categories.has(command.category)) {
      this.categories.set(command.category, []);
    }
    this.categories.get(command.category)!.push(command);
  }

  async executeCommand(name: string, args: string[]): Promise<CommandResult> {
    const command = this.resolveCommand(name);
    if (!command) {
      throw new CommandNotFoundError(name, this.getSuggestions(name));
    }

    // Execute middleware stack
    const context = await this.buildExecutionContext(command, args);
    const result = await command.middleware.execute(context);

    return result;
  }

  private resolveCommand(name: string): CommandModule | undefined {
    // Try exact match first
    if (this.commands.has(name)) {
      return this.commands.get(name);
    }

    // Try alias
    const aliasTarget = this.aliases.get(name);
    if (aliasTarget) {
      return this.commands.get(aliasTarget);
    }

    // Try fuzzy match
    return this.findFuzzyMatch(name);
  }
}

Command Decomposition Strategy

Swarm Commands Module

// src/cli/commands/swarm/swarm.command.ts
@Command({
  name: "swarm",
  description: "Swarm coordination and management",
  category: "orchestration",
})
export class SwarmCommand {
  constructor(
    private swarmCoordinator: UnifiedSwarmCoordinator,
    private promptService: InteractivePromptService,
  ) {}

  @SubCommand("init")
  @Option(
    "--topology",
    "Swarm topology (mesh|hierarchical|adaptive)",
    "hierarchical",
  )
  @Option("--agents", "Number of agents to spawn", 5)
  @Option("--interactive", "Interactive agent configuration", false)
  async init(
    @Arg("projectName") projectName: string,
    options: SwarmInitOptions,
  ): Promise<CommandResult> {
    if (options.interactive) {
      return this.interactiveSwarmInit(projectName);
    }

    return this.quickSwarmInit(projectName, options);
  }

  private async interactiveSwarmInit(
    projectName: string,
  ): Promise<CommandResult> {
    console.log(`🚀 Initializing Swarm for ${projectName}`);

    // Interactive topology selection
    const topology = await this.promptService.select({
      message: "Select swarm topology:",
      choices: [
        {
          name: "Hierarchical (Queen-led coordination)",
          value: "hierarchical",
        },
        { name: "Mesh (Peer-to-peer collaboration)", value: "mesh" },
        { name: "Adaptive (Dynamic topology switching)", value: "adaptive" },
      ],
    });

    // Agent configuration
    const agents = await this.promptAgentConfiguration();

    // Initialize with configuration
    const swarm = await this.swarmCoordinator.initialize({
      name: projectName,
      topology,
      agents,
      hooks: {
        onAgentSpawn: this.handleAgentSpawn.bind(this),
        onTaskComplete: this.handleTaskComplete.bind(this),
        onSwarmComplete: this.handleSwarmComplete.bind(this),
      },
    });

    return CommandResult.success({
      message: `✅ Swarm ${projectName} initialized with ${agents.length} agents`,
      data: { swarmId: swarm.id, topology, agentCount: agents.length },
    });
  }

  @SubCommand("status")
  async status(): Promise<CommandResult> {
    const swarms = await this.swarmCoordinator.listActiveSwarms();

    if (swarms.length === 0) {
      return CommandResult.info("No active swarms found");
    }

    // Interactive swarm selection if multiple
    const selectedSwarm =
      swarms.length === 1
        ? swarms[0]
        : await this.promptService.select({
            message: "Select swarm to inspect:",
            choices: swarms.map((s) => ({
              name: `${s.name} (${s.agents.length} agents, ${s.topology})`,
              value: s,
            })),
          });

    return this.displaySwarmS
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Questions about v3-cli-modernization.

Which coding agents can use v3-cli-modernization?
v3-cli-modernization installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.