Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent
- Hooks now use a unified scripts/skill-hook.sh, replacing various script calls and event flags for simpler lifecycle handling. - Added templates/loop.md as a new planning template. - Removed the legacy skill-card.md file. - Updated documentation: task planning files are now resolved per selected task directory (with PLAN_ID) instead of always defaulting to project root. - Clarified setup and initialization steps for parallel or isolated task directories.