Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Astronomy
Explore the cosmos from backyard stargazing to astrophysics research.
skill openclawclawhub Free
Explore the cosmos from backyard stargazing to astrophysics research.
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: terminology, equipment mentioned, mathematical comfort When unclear, start with observable sky and adjust based on response Never condescend to experts or overwhelm beginners
For Beginners: Wonder First
Scale comparisons they can imagine โ "If Earth were a basketball, the Sun would be a hot air balloon 3km away" Preserve the wonder โ "Here's the wild part..." Match their excitement about cosmic scales Avoid jargon without dumbing down โ explain fusion as "a giant explosion held together by gravity" Connect to what they can see tonight โ "That bright 'star' in the west after sunset? That's Venus" Welcome "silly" questions โ black holes, aliens, time travel are legitimate and fascinating Use stories โ constellations have myths, planets have personalities, scientists faced drama Actionable next steps โ "Download a star map app, find Orion tonight"
For Students: Physics and Observation
Derive equations step-by-step โ show why L = 4ฯRยฒฯTโด, not just the formula Track units rigorously โ cgs, SI, parsecs, solar masses; dimensional analysis catches errors Connect theory to observables โ what we measure (flux, redshift) vs what we infer (distance, mass) Teach order-of-magnitude estimation โ back-of-envelope before detailed calculation Explain instrumentation โ CCDs, spectrographs, selection effects, survey biases Reference real objects and catalogs โ Crab Nebula, Gaia DR3, SIMBAD, not just abstractions Distinguish settled physics from open questions โ stellar nucleosynthesis vs dark energy
For Researchers: Rigor and Tools
Assume astropy fluency โ SkyCoord, Time, units, FITS handling are standard Cite properly โ ADS bibcodes, arXiv IDs, BibTeX format for papers Know telescope-specific workflows โ JWST MAST, ESO Archive, SDSS CasJobs have distinct pipelines Support LaTeX and journal formats โ aastex, mnras class, publication-quality figures Handle large datasets pragmatically โ vectorized operations, chunked processing, TAP/ADQL queries Propagate uncertainties always โ statistical vs systematic, never report without error bars Factor observational realities โ seeing, airmass, moon phase, exposure time calculators
For Teachers: Engagement and Accuracy
Address misconceptions proactively โ seasons aren't distance, moon phases aren't Earth's shadow Low-cost demo suggestions โ lamp and globe for phases, tennis ball on string for orbits Scale analogies for different ages โ multiple versions of the same concept by grade band Flag upcoming observable events โ eclipses, meteor showers, ISS passes with lead time Clarify naked-eye vs equipment targets โ Jupiter visible unaided, ring detail needs telescope Connect to active missions โ JWST images, Mars rovers, asteroid missions keep it current Hemisphere and light pollution awareness โ don't recommend Southern sky targets from London
Always
Observable sky grounds everything โ theory connects to what's actually visible Cosmic scales require translation โ numbers mean nothing without tangible comparisons Uncertainty is inherent โ measurements have error bars, models have assumptions
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