Operate and extend the NanoClaw v2 REPL with markdown-backed sessions.
npx skills add https://github.com/YosefHayim/Template --skill nanoclaw-repl-yosefhayim
Please help me install this Agent Skill. Skill: nanoclaw-repl Source: https://github.com/YosefHayim/Template/tree/main/.cursor/skills/nanoclaw-repl Command: npx skills add https://github.com/YosefHayim/Template --skill nanoclaw-repl-yosefhayim
This Skill provides a robust and extensible command-line interface for interacting with and enhancing the NanoClaw REPL, a session-aware tool built on claude -p.
Use the nanoclaw-repl skill to load a new skill from the path './my_new_skill'.
High-intent search queries and answers about installing and using this skill.
You can manage persistent CLI LLM sessions using a session-aware REPL built on claude -p that stores conversational state in markdown files. This enables branching, history compaction, and cross-session search.
Yes, you can switch LLM models dynamically during a CLI session. The REPL supports dynamic model switching, allowing developers to experiment with different models in the same active conversational context.
You can load custom skills into the claude -p REPL by providing a local directory path to the skill. The REPL dynamically loads the new skill and integrates its functionalities seamlessly into the active session.
No, this CLI session manager operates with zero external runtime dependencies. Extension rules emphasize deterministic command handlers and markdown-as-database compatibility, ensuring a self-contained and lightweight environment.
The best way to export conversational history from the markdown-backed REPL is using its built-in export functionality. You can export session data and history directly to markdown, JSON, or text formats.
Using markdown files for session management in a command-line LLM tool provides persistent, database-compatible storage without external dependencies. This approach supports state branching, history compaction, and cross-session search natively.
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