Agent skill

LLM Config

Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation

MITAuto-check: notesAI & LLM Engineering

Install LLM Config

skills CLI

$ npx skills add ruvnet/ruflo --skill llm-config -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install ruvnet/ruflo llm-config --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ruflo-ruvllm/skills/llm-config .claude/skills/llm-config && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "llm-config" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvllm/skills/llm-config into .claude/skills/llm-config/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-config", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvllm/skills/llm-config

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add ruvnet/ruflo --skill llm-config -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install ruvnet/ruflo llm-config --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ruflo-ruvllm/skills/llm-config .agents/skills/llm-config && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "llm-config" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvllm/skills/llm-config into .agents/skills/llm-config/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-config", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ruvnet/ruflo --skill llm-config -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install ruvnet/ruflo llm-config --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ruflo-ruvllm/skills/llm-config .cursor/skills/llm-config && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "llm-config" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvllm/skills/llm-config into .cursor/skills/llm-config/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-config", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/ruvnet/ruflo.git --path plugins/ruflo-ruvllm/skills/llm-config

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add ruvnet/ruflo --skill llm-config -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install ruvnet/ruflo llm-config --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ruflo-ruvllm/skills/llm-config .gemini/skills/llm-config && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "llm-config" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvllm/skills/llm-config into .gemini/skills/llm-config/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-config", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install ruvnet/ruflo llm-config

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add ruvnet/ruflo --skill llm-config -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ruflo-ruvllm/skills/llm-config .github/skills/llm-config && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "llm-config" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvllm/skills/llm-config into .github/skills/llm-config/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-config", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ruvnet/ruflo --skill llm-config -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install ruvnet/ruflo llm-config --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ruflo-ruvllm/skills/llm-config .opencode/skills/llm-config && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "llm-config" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvllm/skills/llm-config into .opencode/skills/llm-config/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-config", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: llm-config
GitHub stars: 74k
Token cost: ~436 tokens
SKILL.md length: 118 words
Files: 1
Skills in repo: 264
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation

Works in 6 steps: Check status — call… → Generate config — call… → Create MicroLoRA — call… → …
Tasks that involve Fine-tuning
SKILL.md covers When to use, Steps and MicroLoRA vs SONA
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

LLM Config is an agent skill from ruvnet/ruflo. Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation

Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Fine-tuning. It works with Model Context Protocol. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.

When your agent uses it

Tasks that involve Fine-tuning

Example prompts

“/llm-config”

Requirements

Pre-approved tools (allowed-tools): mcp__plugin_ruflo-core_ruflo__ruvllm_generate_config, mcp__plugin_ruflo-core_ruflo__ruvllm_status, mcp__plugin_ruflo-core_ruflo__ruvllm_microlora_create, mcp__plugin_ruflo-core_ruflo__ruvllm_microlora_adapt, mcp__plugin_ruflo-core_ruflo__ruvllm_sona_create, mcp__plugin_ruflo-core_ruflo__ruvllm_sona_adapt, Bash

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

Check status — call mcpplugin_ruflo-core_rufloruvllm_status to see current model and adapter state
Generate config — call mcpplugin_ruflo-core_rufloruvllm_generate_config with model parameters
Create MicroLoRA — call mcpplugin_ruflo-core_rufloruvllm_microlora_create for task-specific adapters
Adapt MicroLoRA — call mcpplugin_ruflo-core_rufloruvllm_microlora_adapt with training data
Create SONA — call mcpplugin_ruflo-core_rufloruvllm_sona_create for real-time neural adaptation
Adapt SONA — call mcpplugin_ruflo-core_rufloruvllm_sona_adapt with feedback signals

What it can do on your machine

Read from SKILL.md and the folder at commit 58e0ae7. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- mcp__plugin_ruflo-core_ruflo__ruvllm_generate_config
- mcp__plugin_ruflo-core_ruflo__ruvllm_status
- mcp__plugin_ruflo-core_ruflo__ruvllm_microlora_create
- mcp__plugin_ruflo-core_ruflo__ruvllm_microlora_adapt
- mcp__plugin_ruflo-core_ruflo__ruvllm_sona_create
- mcp__plugin_ruflo-core_ruflo__ruvllm_sona_adapt
- Bash
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

LLM Config loads about 436 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 118 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~27
When it runs · the whole SKILL.md, loaded when a task matches: ~436

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

allowed-tools: mcp__plugin_ruflo-core_ruflo__ruvllm_generate_config, mcp__plugin_ruflo-core_ruflo__ruvllm_status, m

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Download SKILL.mdSave it as .claude/skills/llm-config/SKILL.md (or your agent's skills folder).

name: llm-config
description: Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation
allowed-tools: mcp__plugin_ruflo-core_ruflo__ruvllm_generate_config, mcp__plugin_ruflo-core_ruflo__ruvllm_status, mcp__plugin_ruflo-core_ruflo__ruvllm_microlora_create, mcp__plugin_ruflo-core_ruflo__ruvllm_microlora_adapt, mcp__plugin_ruflo-core_ruflo__ruvllm_sona_create, mcp__plugin_ruflo-core_ruflo__ruvllm_sona_adapt, Bash
argument-hint: [--model MODEL] [--adapter microlora|sona]

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

Files

Just SKILL.md in plugins/ruflo-ruvllm/skills/llm-config of ruvnet/ruflo.

Open the folder on GitHubat commit 58e0ae7

Compare with similar skills

LLM Config next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

LLM Config compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
LLM Config this skillruvnet/ruflo	74k	—	~436	Automated safety check: Notes	MIT	today
Hugging Face LLM Trainerhuggingface/skills	11k	1 repos	~7.2k	Automated safety check: Pass	Apache-2.0	yesterday
Scenario Model Trainingscenario-labs/skills	931	—	~2.7k	Automated safety check: Pass	MIT	today
AI Learning JournalLeoYeAI/openclaw-master-skills	2.2k	—	~2.6k	Automated safety check: Pass	MIT	2 mo ago
Microsoft Foundrymicrosoft/GitHub-Copilot-for-Azure	255	1 repos	~6.7k	Automated safety check: Pass	MIT	today
Castguaardvark/guaardvark	257	—	~673	Automated safety check: Pass	MIT	today

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Questions about LLM Config

What does LLM Config do?

Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation. LLM Config is an agent skill from ruvnet/ruflo.

When should I use LLM Config?

LLM Config fits situations like: tasks that involve Fine-tuning.

How do I install LLM Config in Claude Code?

Run `npx skills add ruvnet/ruflo --skill llm-config -a claude-code`. Or copy the skill folder (plugins/ruflo-ruvllm/skills/llm-config in ruvnet/ruflo) into .claude/skills/llm-config in your project. Claude Code loads it when a task matches its description.

How do I install LLM Config in Codex?

Run `npx skills add ruvnet/ruflo --skill llm-config -a codex`. Or copy the skill folder (plugins/ruflo-ruvllm/skills/llm-config in ruvnet/ruflo) into .agents/skills/llm-config in your project. Codex loads it when a task matches its description.

Can I use LLM Config in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill llm-config -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-config, .gemini/skills/llm-config, .github/skills/llm-config and .opencode/skills/llm-config in your project.

What does LLM Config need to run?

SKILL.md names no scripts, command-line tools or credentials: LLM Config is instructions for the agent only. Its frontmatter pre-approves these tools: mcp__plugin_ruflo-core_ruflo__ruvllm_generate_config, mcp__plugin_ruflo-core_ruflo__ruvllm_status, mcp__plugin_ruflo-core_ruflo__ruvllm_microlora_create, mcp__plugin_ruflo-core_ruflo__ruvllm_microlora_adapt, mcp__plugin_ruflo-core_ruflo__ruvllm_sona_create, mcp__plugin_ruflo-core_ruflo__ruvllm_sona_adapt, Bash.

Does LLM Config access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is LLM Config safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does LLM Config use?

LLM Config is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does LLM Config use?

About 436 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to LLM Config?

Skills that share tags, products or a category with LLM Config: Hugging Face LLM Trainer (huggingface/skills, 11k stars), Scenario Model Training (scenario-labs/skills, 931 stars), AI Learning Journal (LeoYeAI/openclaw-master-skills, 2.2k stars) and Microsoft Foundry (microsoft/GitHub-Copilot-for-Azure, 255 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains LLM Config?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,159 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 9, 2026.

Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

LLM Config

Install LLM Config

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

LLM Configuration

When to use

Steps

MicroLoRA vs SONA

Files

Compare with similar skills

Similar skills

Hugging Face LLM Trainer

Scenario Model Training

AI Learning Journal

Microsoft Foundry

Cast

Mesh API

More from ruvnet/ruflo

AgentDB Pattern Memory

Security Audit Scanner

SPARC Development Methodology

Swarm Orchestration

Ruflo Multi-Agent Orchestration

Agent Coordination

Questions about LLM Config

Install LLM Config

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

LLM Configuration

When to use

Steps

MicroLoRA vs SONA

Files

Compare with similar skills

Similar skills

More from ruvnet/ruflo

Related

Questions about LLM Config