How do I install the LLM Config skill?

Run npx skillmds add thedixitjain/llm-config in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the LLM Config skill do?

Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation It is listed under AI & ML on SkillMD.

Is LLM Config safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with LLM Config?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is LLM Config free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published LLM Config?

thedixitjain (@thedixitjain) published this skill. Their other Agent Skills are listed on their SkillMD profile.

LLM Config by thedixitjain — Agent Skill

Name: LLM Config
Rating: 4.2 (5 reviews)
Author: thedixitjain

File contents

LLM Configuration

Configure RuVLLM for local inference and fine-tuning.

When to use

When you need to configure local LLM inference, create MicroLoRA adapters for task-specific fine-tuning, or set up SONA for real-time adaptation.

Steps

Check status — call mcp__plugin_ruflo-core_ruflo__ruvllm_status to see current model and adapter state
Generate config — call mcp__plugin_ruflo-core_ruflo__ruvllm_generate_config with model parameters
Create MicroLoRA — call mcp__plugin_ruflo-core_ruflo__ruvllm_microlora_create for task-specific adapters
Adapt MicroLoRA — call mcp__plugin_ruflo-core_ruflo__ruvllm_microlora_adapt with training data
Create SONA — call mcp__plugin_ruflo-core_ruflo__ruvllm_sona_create for real-time neural adaptation
Adapt SONA — call mcp__plugin_ruflo-core_ruflo__ruvllm_sona_adapt with feedback signals

MicroLoRA vs SONA

Feature	MicroLoRA	SONA
Speed	Minutes to train	<0.05ms adaptation
Scope	Task-specific fine-tuning	Real-time micro-adjustments
Persistence	Saved as adapter weights	Session-scoped
Use case	Specialized domain tasks	Continuous feedback loops

Source: ruvnet/ruflo → plugins/ruflo-ruvllm/skills/llm-config/SKILL.md

Frequently asked questions