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

```bash # 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

```bash # 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