Continuous learning heartbeat - autonomously researches, extracts insights, and expands knowledge base
Autonomous learning loop that periodically expands the knowledge base through research, extraction, and connection discovery. Runs locally using existing skills and sub-agents.
This heartbeat skill implements a continuous learning cycle:
Each cycle is a complete learning session. The heartbeat never "completes" - it continuously learns.
Git Workflow: Each learning session commits to its own branch (learning/YYYY-MM-DD-topic-slug), then returns to main. This keeps main clean while preserving all learning for selective merging.
/deep-research, /auto-discovery, /integrate-recent-notes, /refresh-index/learn-new-things # Default: 8-hour interval, auto-select topic
/learn-new-things 4 # 4-hour interval
/learn-new-things 8 "multi-agent systems" # Specific topic
/learn-new-things stop # Stop the learning loop
Track learning progress in resources/learn-new-things-log.md:
session_id: YYYY-MM-DD-HHMMSS
last_cycle: 2026-02-18T13:15:00
cycles_completed: 0
topics_researched: []
insights_extracted: 0
connections_discovered: 0
consecutive_errors: 0