Manages seamless context transfer between AI coding sessions by creating and resuming stateful handoff files.
The Handoff skill solves the challenge of lost context in AI-assisted development by providing a structured framework for saving and resuming work states. It automatically detects existing HANDOFF.md files upon session start, offering to restore progress immediately. The skill monitors for natural language cues like 'let's stop here' to proactively suggest state saves, ensuring that project goals, current progress, and pending tasks are documented for the next session or agent. With support for multiple handoff depths, it bridges the gap between fragmented coding sessions and maintains long-term project momentum.
Key Features
01Automatic detection and silent reading of HANDOFF.md files on startup
02Natural language trigger word detection for context saving and resumption
03Proactive handoff suggestions at major milestones or session endings
0420 GitHub stars
05Tiered command structure for full, quick, or resume-specific workflows
06Standardized context transfer between different AI agents or human developers
Use Cases
01Documenting current progress and immediate next steps before pivoting to a different feature branch
02Transferring detailed task context from one AI agent instance to another during long-running projects
03Saving complex project state at the end of a workday to resume instantly the next morning
