What problem does it solve? Ending a coding session cleanly requires several bookkeeping steps: confirming all work is committed, archiving finished tasks, and writing a session journal. This Skill automates that wrap-up sequence so nothing is forgotten and the project history stays consistent. ## Core Features & Use Cases - State Survey: Runs get_context.py to list active tasks, git status, and recent commits before wrapping up. - Dirty Path Classification: Inspects git status, filters out Trellis-managed paths, and routes uncommitted changes back to the commit phase or flags them as parallel work. - Task Archival & Journaling: Archives completed tasks via task.py and records a session journal with commit hashes via add_session.py. - Use Case: After finishing a feature and committing code in Phase 3.4, invoke this Skill to archive the task and log the session, producing a clean git history of work, archive, and journal commits. ## Quick Start Ask the AI to run the trellis-finish-work skill to wrap up the current session after all code changes have been committed.