
use aagt_core::tool::{Tool, ToolDefinition};
use aagt_core::error::{Result};
use async_trait::async_trait;
use std::path::{Path, PathBuf};

/// A Skill loaded from a .md file
pub struct MarkdownSkill {
    name: String,
    description: String,
    instructions: String,
    parameters: serde_json::Value,
    script_path: Option<PathBuf>,
}

#[async_trait]
impl Tool for MarkdownSkill {
    fn name(&self) -> String {
        self.name.clone()
    }

    async fn definition(&self) -> ToolDefinition {
        ToolDefinition {
            name: self.name.clone(),
            description: format!("{}\n\nINSTRUCTIONS:\n{}", self.description, self.instructions),
            parameters: self.parameters.clone(),
        }
    }

    async fn call(&self, _arguments: &str) -> Result<String> {
        if let Some(ref script) = self.script_path {
            // Logic to execute external script (Python/Node/etc)
            // This is where OpenClaw-like behavior happens
            Ok(format!("Successfully executed skill {} with script {:?}", self.name, script))
        } else {
            // For documentation-only skills, we might just return the instructions
            // so the agent can understand the context.
            Ok(format!("Context provided by {}: {}", self.name, self.instructions))
        }
    }
}

/// Helper to load all skills from a directory
pub struct SkillLoader;

impl SkillLoader {
    pub async fn load_from_dir(_dir: impl AsRef<Path>) -> Result<Vec<MarkdownSkill>> {
        let skills = Vec::new();
        // Dummy implementation: in reality, use walkdir/tokio::fs to parse .md files
        // and extract YAML frontmatter + markdown content.
        Ok(skills)
    }
}

#[tokio::main]
async fn main() -> Result<()> {
    println!("Prototype for Skill Loader - functionality is mocked.");
    Ok(())
}
