# Get complete context for your task
from devmemory.agent_tools import get_universal_agent_tools
memory = get_universal_agent_tools()
context = memory.get_hierarchical_context("implement authentication system")

# Store what you've learned (universal format)
memory.store_agent_learning(
    learning="Use OAuth2 with PKCE for mobile auth to prevent token theft",
    learning_type="semantic",
    topics=["security", "authentication", "mobile"],
    entities=["OAuth2", "PKCE"]
)

# Check if skill exists
skill = memory.get_agent_skill("authentication_pattern")
if not skill:
    # Store new skill for all agents to use
    memory.store_agent_skill(
        skill_name="authentication_pattern",
        skill_description="Secure authentication pattern using JWT with refresh tokens",
        implementation="1. Use short-lived access tokens...",
        use_cases=["Web applications", "Mobile apps"]
    )

# Check who's working on what
coordination = memory.get_hierarchical_context("current work")
active_sessions = coordination["coordination"]["active_sessions"]
# Announce your work
memory.store_agent_learning(
    learning="Currently implementing OAuth2 provider integration",
    topics=["active-work", "coordination"],
    entities=["authentication"]
)