Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
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'...
skill openclawclawhub Free
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'...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, main.sh, package.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- mrsarac
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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
LayerNamePurposeL0System CoreRole, persona, behavioral rulesL1Context IdentityDomain knowledge, target audienceL2Intent ScopeTask definition, output formatL3GovernanceConstraints, ethical boundariesL4Cognitive EngineThinking strategy (CoT, ToT)L5Capabilities DomainTools, integrations, capabilitiesL6QAValidation criteria, quality controlL7Output MetaFormat, 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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- SKILL.md
- README.md
- main.sh
- package.json