by @softaworks
Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state', 'create handoff', 'I need to pause', 'context is getting full', (6) resuming work with 'load handoff', 'resume from', 'continue where we left off'. Proactively suggests handoffs after substantial work (multiple file edits, complex debugging, architecture decisions). Solves long-running agent context exhaustion by enabling fresh agents to continue with zero ambiguity.
Creates comprehensive handoff documents that enable fresh AI agents to seamlessly continue work with zero ambiguity. Solves the long-running agent context exhaustion problem.
Determine which mode applies:
Creating a handoff? User wants to save current state, pause work, or context is getting full.
Resuming from a handoff? User wants to continue previous work, load context, or mentions an existing handoff.
Proactive suggestion? After substantial work (5+ file edits, complex debugging, major decisions), suggest:
"We've made significant progress. Consider creating a handoff document to preserve this context for future sessions. Say 'create handoff' when ready."
Run the smart scaffold script to create a pre-filled handoff document:
python scripts/create_handoff.py [task-slug]
Example: python scripts/create_handoff.py implementing-user-auth
For continuation handoffs (linking to previous work):
python scripts/create_handoff.py "auth-part-2" --continues-from 2024-01-15-auth.md
The script will:
.claude/handoffs/ directory if neededOpen the generated file and fill in all [TODO: ...] sections. Prioritize these sections:
Use the template structure in references/handoff-template.md for guidance.
Run the validation scr...