What problem does it solve?
This Skill eliminates the manual overhead of managing persistent, session-aware REPL workflows for NanoClaw v2, removing the need to manually track session state, switch LLM models, or export outputs across separate tasks.
Core Features & Use Cases
- Persistent Session Storage: Markdown-backed sessions that retain full state across REPL restarts for uninterrupted iterative work.
- Workflow Control Commands: Switch LLM models on the fly with
/model, load dynamic skills with /load, branch sessions for risk-free experimentation with /branch, search cross-session history with /search, compact old sessions to reduce clutter with /compact, and export outputs to markdown, JSON, or plain text with /export.
- Use Case: Use this Skill to run iterative AI research tasks: branch a session to test a new prompt approach without losing your original work, compact outdated sessions to save storage space, and export final research outputs to share with your team.
Quick Start
Use the nanoclaw-repl skill to launch a new NanoClaw REPL session, switch to your preferred LLM model, and begin your first iterative task with automatic persistent session tracking.
