SkillHub

rune-prompt-amplification

v1.0.0

Transforms any flat prompt into a structured 8-layer XML prompt using RUNE's semantic engine — delivering ~45% higher quality AI responses. Built on Spinoza's philosophical framework by NeuraByte Labs.

Sourced from ClawHub, Authored by Mustafa

Installation

Please help me install the skill `rune-prompt-amplification` from SkillHub official store. npx skills add mrsarac/rune-prompt-amplification

RUNE — Prompt Amplification Framework

RUNE transforms flat, ambiguous prompts into structured XML prompts validated by Spinoza's philosophical framework — resulting in outputs that are ~45% higher quality than raw prompting.

The 8 Layers

Layer Name Purpose
L0 System Core Role, persona, behavioral rules
L1 Context Identity Domain knowledge, target audience
L2 Intent Scope Task definition, output format
L3 Governance Constraints, ethical boundaries
L4 Cognitive Engine Thinking strategy (CoT, ToT)
L5 Capabilities Domain Tools, integrations, capabilities
L6 QA Validation criteria, quality control
L7 Output Meta Format, style, length, language

Requirements

  • Python 3.11+
  • RUNE repo cloned locally
  • RUNE_API_KEY in ~/.secrets

Usage

# Pipe a prompt
echo "Write a blog post about AI" | bash main.sh

# Pass as argument
bash main.sh "Explain quantum entanglement to a 12-year-old"

Setup

# 1. Clone RUNE repo
git clone https://github.com/mrsarac/master-prompts ~/Documents/GitHub/rune

# 2. Add API key to ~/.secrets
echo "export RUNE_API_KEY=your_key" >> ~/.secrets

# 3. Test
echo "Hello" | bash main.sh

Source

  • Author: NeuraByte Labs
  • Version: RUNE v4.3 / WAND v1.5.0
  • Repo: https://github.com/neurabytelabs/rune-skill