# Rune Prompt Amplification

> 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.

- Skill: `dvcrn/rune-prompt-amplification` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add dvcrn/rune-prompt-amplification`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/rune-prompt-amplification/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/dvcrn/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