session-handoff

To preserve AI agent context for session continuity, generate a handoff document using Python scripts that captures critical information, architectural decisions, and progress before the context window fills, allowing a fresh agent to resume tasks seamlessly.

An AI session handoff document is a generated record of architectural choices, rationale, and task progress used to transfer context between agents. You need one for complex, long-running projects requiring multiple sessions to prevent context loss and ambiguity.

To create and resume an AI agent session, run the Python script `create_handoff.py` with a task slug and a `--continues-from` argument referencing the previous handoff document, validating completeness and checking staleness to ensure seamless transfers.

Yes, you need Python installed to generate handoff documents for agent transfers. The Skill relies on Python scripts to create the handoff files, validate their completeness, and check for context staleness before resuming work.

The best way to track progress and document decisions across multiple AI sessions is creating a handoff document that records completed work, pending tasks, and architectural rationale, maintaining a clear history for better project management.

AI agents lose context when transferring sessions because the context window fills or resets. Prevent this by generating a handoff document that captures critical information and decisions, enabling fresh agents to pick up work without ambiguity.