What problem does it solve?
Switching between separate AI agent sessions often leads to lost context, repeated work, and misalignment on task priorities, wasting time and reducing productivity.
Core Features & Use Cases
- Conversation Compaction: Summarizes the full current conversation into a concise, structured handoff document.
- Context-Aware Recommendations: Includes a dedicated section suggesting relevant skills the next agent should invoke for the resumed work.
- Safe & Non-Redundant: Automatically redacts sensitive information like API keys and personally identifiable information, and references existing project artifacts (PRDs, plans, ADRs, commits, diffs) by path or URL instead of duplicating their content.
- Use Case: If you are pausing a half-finished AWS architecture debugging session to resume the next day, this skill generates a handoff document so the new agent immediately understands what has been tested, what issues remain, and which skills to use to complete the work.
Quick Start
Use the handoff skill to create a handoff document for resuming our data pipeline optimization work in the next session.