What problem does it solve?
This Skill prevents important session context, workflow updates, and in-flight work from being lost when a conversation ends. It gives you a structured way to audit your personal AI setup against what you learned in the session and then turn the current state into a clean cold-start prompt for the next session.
Core Features & Use Cases
- Two-phase session wrap-up: Audits configs, hooks, agents, skills, and memory patterns before generating a ready-to-paste handoff prompt.
- Cross-surface state gathering: Pulls in-flight context from beads, GitHub PRs, worktrees, and optionally Slack, Jira, and Confluence so the next session starts with current reality instead of partial memory.
- Action gating for changes: Separates trivial fixes that can be applied immediately from substantive changes that should be proposed for user sign-off.
- Use case: After a long coding or planning session, use this Skill to capture active work, calibration changes, open asks, and adjacent responsibilities so a new session can resume without re-deriving context.
Quick Start
Ask the AI to run the handoff skill for this session and generate both the audit and the copy-paste-ready cold-start prompt.