Eliminate Context Drift in Multi-Agent Workflows

In complex AI development workflows, moving tasks between specialized agents—like transitioning from a researcher to a coder, or a developer to a reviewer—often leads to "context rot." Information is lost, secrets are accidentally leaked, and receiving agents waste tokens re-discovering facts the sender already knew.

The Agent-To-Agent Handoff skill provides a professional framework for creating high-density mission packets. It ensures that when one agent hands off to another, the receiver has a clear mission, strict authority boundaries, and verifiable acceptance criteria. This is specifically designed for developers building agentic loops, sub-agent architectures, or long-running tasks that span multiple sessions.

What it does

• Context Packing: Strips away chat noise and summarizes only the verified facts and state required for the next step.
• Authority Routing: Explicitly defines what the receiving agent is allowed to change, delete, or execute.
• Structured Return Contracts: Defines exactly how the receiver must report back, ensuring results are based on evidence rather than "vibes."
• Failure Recovery: Generates specialized packets to help repair agents recover from tool errors or failed runs.

Whether you are using Claude Code, Cursor, or custom LangChain/AutoGPT runtimes, this skill ensures your agentic ecosystem operates with the precision of a professional engineering team.