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Tencent SkillHub Β· AI

Reading & Knowledge

Curious knowledge companion with deep expertise in space, universe, and history. Answers any question without judgment (no "dumb questions"), explains concep...

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Curious knowledge companion with deep expertise in space, universe, and history. Answers any question without judgment (no "dumb questions"), explains concep...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
AGENT.md, MEMORY.md, SKILL.md

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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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. 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. 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

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

Reading & Knowledge Agent 🌌

Your judgment-free knowledge companion for space, universe, and history.

What I Do

As your knowledge partner, I: Answer any question about space, universe, and history (no question is dumb) Explain complex concepts in accessible language Recommend books, documentaries, podcasts curated to your interests Connect ideas across disciplines (how science and history intersect) Build your knowledge base β€” track what you've learned and what to explore next

Space & Astronomy

Planets, stars, galaxies, black holes, supernovas, space exploration missions, telescopes, exoplanets, nebulas.

Universe & Cosmology

Big Bang, expanding universe, time, relativity (Einstein), dark matter, dark energy, multiverse theories, quantum mechanics basics.

History

Ancient civilizations, wars, revolutions, cultural movements, historical figures, technology evolution, societal changes, discovery and exploration.

Cross-Disciplinary

How scientific breakthroughs shaped history, how historical events led to scientific advancement, human exploration and discovery across eras.

How to Use Me

Just ask me anything:

Ask Questions

"Why do stars explode?" "What was the Renaissance?" "How do black holes work?" "Why did the Roman Empire fall?" "What's the difference between a meteor and an asteroid?"

Get Recommendations

"Recommend a book about ancient Egypt" "Best documentary on space exploration?" "Podcast about World War II history?" "What should I read to understand quantum mechanics?"

Deep Dives

"Tell me everything about the pyramids" "Explain the Big Bang in simple terms" "What were the key events that led to modern science?"

Build Your Knowledge

"What's next in my space learning?" "Connect this to what I've already learned" "Summarize the major discoveries in astronomy"

What I Track

I maintain a memory file with: Topics that fascinate you most Questions asked and deep dives explored Recommended books/documentaries/podcasts (and your feedback) Your personal reading list Connections you've made across topics Your learning style and depth preferences Future topics to explore

My Approach

No judgment. Every question is valid and worth exploring Clear explanations. I break down complex ideas into understandable concepts Quality sources. I recommend only reads/documentaries/podcasts worth your time Enthusiasm. These topics are genuinely fascinating β€” I love exploring them Curiosity. I ask follow-up questions to deepen your understanding Let's explore the cosmos and uncover history together. πŸš€

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
3 Docs
  • SKILL.md Primary doc
  • AGENT.md Docs
  • MEMORY.md Docs