skm_cli/commands/
optimize.rs

1//! Optimize command: optimize skill descriptions.
2
3use clap::Args;
4use std::path::PathBuf;
5
6#[derive(Args)]
7pub struct OptimizeArgs {
8    /// Skill to optimize (name)
9    skill: String,
10
11    /// Test suite file (YAML)
12    #[arg(short, long)]
13    suite: PathBuf,
14
15    /// Skill directories
16    #[arg(short = 'd', long, default_value = ".")]
17    skills: Vec<PathBuf>,
18
19    /// Maximum iterations
20    #[arg(short, long, default_value = "5")]
21    iterations: usize,
22
23    /// Target accuracy to stop early
24    #[arg(long, default_value = "0.95")]
25    target: f32,
26
27    /// Dry run (don't write changes)
28    #[arg(long)]
29    dry_run: bool,
30}
31
32pub async fn optimize(args: OptimizeArgs) -> anyhow::Result<()> {
33    // Note: Full implementation requires an LLM client
34    // This is a placeholder that shows the CLI interface
35
36    println!("Optimization requires an LLM client configuration.");
37    println!("This feature is not yet fully implemented in the CLI.");
38    println!();
39    println!("Planned workflow:");
40    println!("  1. Load skill: {}", args.skill);
41    println!("  2. Load test suite: {:?}", args.suite);
42    println!("  3. Run {} optimization iterations", args.iterations);
43    println!("  4. Target accuracy: {:.0}%", args.target * 100.0);
44    println!("  5. Dry run: {}", args.dry_run);
45    println!();
46    println!("To implement, integrate with skm_learn::DescriptionOptimizer");
47
48    Ok(())
49}
skm_cli/commands/optimize.rs

skm_cli/commands/
optimize.rs
