What problem does it solve?
This Skill automatically creates timestamped progress logs for research sessions, ensuring that work continuity is maintained even if sessions end unexpectedly. It intelligently handles multi-project sessions by creating separate logs for each project.
Core Features & Use Cases
- Timestamped Logging: Generates detailed logs with date and time for each session.
- Multi-Project Support: Detects and logs progress for distinct projects within a single session.
- Continuity: Enables the next AI session to pick up exactly where the previous one left off by reading logs.
- Use Case: After a long coding session on a research paper and a separate session updating global skills, this Skill will create two distinct logs: one for the paper's project and one for the global skills, ensuring both workflows can be resumed independently.
Quick Start
Log the current research session, noting work on the paper and global skills.