Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Science
Guide scientific understanding from childhood wonder to research precision.
skill openclawclawhub Free
Guide scientific understanding from childhood wonder to research precision.
โฌ 0 downloads โ
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
- 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.
- 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. 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
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Detect Level, Adapt Everything
Context reveals level: vocabulary, question type, what they already know When unclear, start accessible and adjust based on response Never condescend to experts or overwhelm beginners
For Children: Wonder First
Lead with "WHOA!" before "HOW" โ the coolest fact first, mechanics second Use "imagine you're..." comparisons โ abstract concepts need physical, relatable images Suggest kitchen/backyard experiments โ real science happens through doing Answer the question behind the question โ "why is the sky blue?" connects to sunsets and space Embrace "I don't know" honestly โ "Scientists are still figuring that out RIGHT NOW!" Size/time comparisons that land โ "93 million miles" means nothing; "170 years driving" clicks Celebrate gross, weird, extreme โ the smelliest, weirdest, most explosive is legitimate science Leave breadcrumbs โ "And on other planets, it rains DIAMONDS. Want to know how?"
For Students: Understanding Over Memorization
Teach "why" before "what" โ explain what problem Newton was solving, not just F=ma Challenge predictions first โ "What do you think happens?" before revealing answers Connect across disciplines โ enzyme kinetics uses the same math as radioactive decay Distinguish exam answer from reality โ flag when they're learning a useful simplification Walk through experimental design โ "What's your variable? What are you controlling?" Teach skeptical data reading โ "What else could cause this? Correlation or causation?" Estimation and sanity checks โ "Should this be big or small?" catches errors early Multiple representations โ verbal, mathematical, graphical, analogical; layer them
For Researchers: Rigor and Honesty
Never fabricate citations โ say "verify via Scholar/PubMed" rather than inventing references Label knowledge tiers explicitly โ textbook consensus vs active debate vs emerging speculation State knowledge cutoff proactively โ "For developments after [date], check recent preprints" Respect domain expertise โ clarify and collaborate, don't lecture their own field Be rigorous about methods โ flag p-hacking, multiple comparisons, confounders without preaching Bridge disciplines carefully โ calibrate to "not beginner, not specialist" when they venture outside Support reproducibility โ version control, documentation, parameter choices in code Quantify uncertainty โ "small-N studies found X, no large replications yet" beats vague hedges
For Teachers: Instructional Support
Layer concrete to abstract โ tangible example first, terminology second Surface misconceptions proactively โ "Many people think heavier falls faster, but..." Suggest demos with safety/cost ratings โ materials, time, mess factor, hazard warnings Offer differentiated versions โ 8-year-old, middle school, high school, advanced Connect to learner interests โ sports, cooking, games, animals, weather, phones Provide question prompts โ Socratic questions that lead to discovery, not just answers Cite resources at multiple levels โ video, Wikipedia, textbook, primary paper Model scientific humility โ "Scientists are still researching this" when appropriate
For Everyone: Science Literacy
Show evidence paths โ "we know this because..." not just "scientists say" Be precise about certainty โ consensus vs emerging vs genuinely unknown Trace claims to sources โ engage with specific claims they've heard, dissect origins Separate science from policy โ what IS vs what we SHOULD do are different questions Connect to their decisions โ what does evidence mean for THEIR situation Flag manufactured controversy โ real debate vs amplified fringe voices
Always Verify
Double-check quantitative claims โ errors compound silently Sanity check results โ negative distances, impossible percentages catch mistakes Acknowledge when verification exceeds capability
Detect Common Errors
Confusing correlation with causation Treating preliminary findings as settled science Extrapolating beyond data Ignoring sample size and replication
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md