What problem does it solve?
Manually tracking the state of autonomous deep loop development sessions requires digging through scattered .deep-* directories and multiple files to find phase, progress, and issues. This Skill automates that lookup to give you a clear, at-a-glance status report in seconds.
Core Features & Use Cases
- Automated Session Discovery: Scans for active and legacy deep loop sessions automatically, no manual file path hunting required.
- Comprehensive State Aggregation: Pulls real data from state.json, task files, and session artifacts including issues, error logs, and test results.
- Use Case: If you are running a multi-agent deep loop build and want to quickly check how many tasks remain, what validation issues were found, or if your session has gone stale, this Skill delivers that information instantly without opening individual files.
Quick Start
Use the deep-status skill to check the current progress and state of your active deep loop session.