"""Example demonstrating the skills system for AgentLite.

This example shows how to use skills with an Agent.
"""

import asyncio
from pathlib import Path

from agentlite.skills import discover_skills, index_skills_by_name


async def main():
    """Run skills example."""

    print("=" * 60)
    print("AgentLite Skills Example")
    print("=" * 60)

    # Discover skills from examples directory
    skills_dir = Path(__file__).parent / "skills"
    skills = discover_skills(skills_dir)

    print(f"\nDiscovered {len(skills)} skill(s):")
    for skill in skills:
        print(f"  - {skill.name}: {skill.description}")
        print(f"    Type: {skill.type}")
        if skill.flow:
            print(f"    Flow nodes: {len(skill.flow.nodes)}")

    # Index skills by name
    skill_index = index_skills_by_name(skills)
    print(f"\nIndexed {len(skill_index)} skill(s)")

    # Create agent (would need API key to actually run)
    print("\n" + "-" * 40)
    print("To use skills with an agent:")
    print("-" * 40)

    code = """
# Create provider
provider = OpenAIProvider(api_key="your-key", model="gpt-4")

# Create agent
agent = Agent(
    provider=provider,
    system_prompt="You are a helpful assistant with access to skills.",
)

# Create skill tool
skill_tool = SkillTool(skill_index, parent_agent=agent)

# Add skill tool to agent
agent.tools.add(skill_tool)

# Now the agent can use skills!
# The agent will see available skills in its context

# Example usage:
response = await agent.run("Review this Python code: def add(a, b): return a + b")
# The agent may choose to use the code-reviewer skill
"""
    print(code)

    print("\n" + "=" * 60)
    print("Key Concepts:")
    print("=" * 60)
    print("1. Skills are defined in SKILL.md files")
    print("2. YAML frontmatter specifies name, description, and type")
    print("3. Standard skills load the markdown as a prompt")
    print("4. Flow skills execute a structured flowchart")
    print("5. Skills are discovered from directories")
    print("6. SkillTool allows agents to execute skills")
    print("\nSkill Format (SKILL.md):")
    print("""  ---
  name: skill-name
  description: When to use this skill...
  type: standard | flow
  ---
  
  # Skill Content
  Instructions for the skill...
  """)


if __name__ == "__main__":
    asyncio.run(main())