What problem does it solve? Ending a coding session cleanly requires several bookkeeping steps: confirming the quality gate passed, ensuring work is committed, archiving finished tasks, and logging session progress. This Skill automates that wrap-up sequence so nothing is forgotten. ## Core Features & Use Cases - State Survey: Runs get_context.py in record mode to list active tasks, git status, and recent commits before wrapping up. - Dirty Path Classification: Inspects git status, filters Trellis-managed paths, and routes uncommitted changes back to the commit phase or flags parallel-window work. - Task Archival & Journaling: Archives completed tasks via task.py and records a session journal with commit hashes and a summary via add_session.py. - Use Case: After finishing a feature and committing code in workflow Phase 3.4, invoke this Skill to archive the task and append a journal entry, producing a clean chore-commit history. ## Quick Start Ask the AI to finish the current Trellis work session by archiving the active task and recording the session journal.