skm-cli 0.1.0

Developer CLI for Agent Skills - validate, test, optimize, and serve
Documentation 
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//! Optimize command: optimize skill descriptions.

use clap::Args;
use std::path::PathBuf;

#[derive(Args)]
pub struct OptimizeArgs {
    /// Skill to optimize (name)
    skill: String,

    /// Test suite file (YAML)
    #[arg(short, long)]
    suite: PathBuf,

    /// Skill directories
    #[arg(short = 'd', long, default_value = ".")]
    skills: Vec<PathBuf>,

    /// Maximum iterations
    #[arg(short, long, default_value = "5")]
    iterations: usize,

    /// Target accuracy to stop early
    #[arg(long, default_value = "0.95")]
    target: f32,

    /// Dry run (don't write changes)
    #[arg(long)]
    dry_run: bool,
}

pub async fn optimize(args: OptimizeArgs) -> anyhow::Result<()> {
    // Note: Full implementation requires an LLM client
    // This is a placeholder that shows the CLI interface

    println!("Optimization requires an LLM client configuration.");
    println!("This feature is not yet fully implemented in the CLI.");
    println!();
    println!("Planned workflow:");
    println!("  1. Load skill: {}", args.skill);
    println!("  2. Load test suite: {:?}", args.suite);
    println!("  3. Run {} optimization iterations", args.iterations);
    println!("  4. Target accuracy: {:.0}%", args.target * 100.0);
    println!("  5. Dry run: {}", args.dry_run);
    println!();
    println!("To implement, integrate with skm_learn::DescriptionOptimizer");

    Ok(())
}