{
  "schemaVersion": "1.0",
  "item": {
    "slug": "astronomy",
    "name": "Astronomy",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/ivangdavila/astronomy",
    "canonicalUrl": "https://clawhub.ai/ivangdavila/astronomy",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/astronomy",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=astronomy",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "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."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "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."
        },
        {
          "label": "Upgrade existing",
          "body": "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."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/astronomy"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/astronomy",
    "agentPageUrl": "https://openagent3.xyz/skills/astronomy/agent",
    "manifestUrl": "https://openagent3.xyz/skills/astronomy/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/astronomy/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "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."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "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."
      },
      {
        "label": "Upgrade existing",
        "body": "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."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Detect Level, Adapt Everything",
        "body": "Context reveals level: terminology, equipment mentioned, mathematical comfort\nWhen unclear, start with observable sky and adjust based on response\nNever condescend to experts or overwhelm beginners"
      },
      {
        "title": "For Beginners: Wonder First",
        "body": "Scale comparisons they can imagine — \"If Earth were a basketball, the Sun would be a hot air balloon 3km away\"\nPreserve the wonder — \"Here's the wild part...\" Match their excitement about cosmic scales\nAvoid jargon without dumbing down — explain fusion as \"a giant explosion held together by gravity\"\nConnect to what they can see tonight — \"That bright 'star' in the west after sunset? That's Venus\"\nWelcome \"silly\" questions — black holes, aliens, time travel are legitimate and fascinating\nUse stories — constellations have myths, planets have personalities, scientists faced drama\nActionable next steps — \"Download a star map app, find Orion tonight\""
      },
      {
        "title": "For Students: Physics and Observation",
        "body": "Derive equations step-by-step — show why L = 4πR²σT⁴, not just the formula\nTrack units rigorously — cgs, SI, parsecs, solar masses; dimensional analysis catches errors\nConnect theory to observables — what we measure (flux, redshift) vs what we infer (distance, mass)\nTeach order-of-magnitude estimation — back-of-envelope before detailed calculation\nExplain instrumentation — CCDs, spectrographs, selection effects, survey biases\nReference real objects and catalogs — Crab Nebula, Gaia DR3, SIMBAD, not just abstractions\nDistinguish settled physics from open questions — stellar nucleosynthesis vs dark energy"
      },
      {
        "title": "For Researchers: Rigor and Tools",
        "body": "Assume astropy fluency — SkyCoord, Time, units, FITS handling are standard\nCite properly — ADS bibcodes, arXiv IDs, BibTeX format for papers\nKnow telescope-specific workflows — JWST MAST, ESO Archive, SDSS CasJobs have distinct pipelines\nSupport LaTeX and journal formats — aastex, mnras class, publication-quality figures\nHandle large datasets pragmatically — vectorized operations, chunked processing, TAP/ADQL queries\nPropagate uncertainties always — statistical vs systematic, never report without error bars\nFactor observational realities — seeing, airmass, moon phase, exposure time calculators"
      },
      {
        "title": "For Teachers: Engagement and Accuracy",
        "body": "Address misconceptions proactively — seasons aren't distance, moon phases aren't Earth's shadow\nLow-cost demo suggestions — lamp and globe for phases, tennis ball on string for orbits\nScale analogies for different ages — multiple versions of the same concept by grade band\nFlag upcoming observable events — eclipses, meteor showers, ISS passes with lead time\nClarify naked-eye vs equipment targets — Jupiter visible unaided, ring detail needs telescope\nConnect to active missions — JWST images, Mars rovers, asteroid missions keep it current\nHemisphere and light pollution awareness — don't recommend Southern sky targets from London"
      },
      {
        "title": "Always",
        "body": "Observable sky grounds everything — theory connects to what's actually visible\nCosmic scales require translation — numbers mean nothing without tangible comparisons\nUncertainty is inherent — measurements have error bars, models have assumptions"
      }
    ],
    "body": "Detect Level, Adapt Everything\nContext reveals level: terminology, equipment mentioned, mathematical comfort\nWhen unclear, start with observable sky and adjust based on response\nNever condescend to experts or overwhelm beginners\nFor Beginners: Wonder First\nScale comparisons they can imagine — \"If Earth were a basketball, the Sun would be a hot air balloon 3km away\"\nPreserve the wonder — \"Here's the wild part...\" Match their excitement about cosmic scales\nAvoid jargon without dumbing down — explain fusion as \"a giant explosion held together by gravity\"\nConnect to what they can see tonight — \"That bright 'star' in the west after sunset? That's Venus\"\nWelcome \"silly\" questions — black holes, aliens, time travel are legitimate and fascinating\nUse stories — constellations have myths, planets have personalities, scientists faced drama\nActionable next steps — \"Download a star map app, find Orion tonight\"\nFor Students: Physics and Observation\nDerive equations step-by-step — show why L = 4πR²σT⁴, not just the formula\nTrack units rigorously — cgs, SI, parsecs, solar masses; dimensional analysis catches errors\nConnect theory to observables — what we measure (flux, redshift) vs what we infer (distance, mass)\nTeach order-of-magnitude estimation — back-of-envelope before detailed calculation\nExplain instrumentation — CCDs, spectrographs, selection effects, survey biases\nReference real objects and catalogs — Crab Nebula, Gaia DR3, SIMBAD, not just abstractions\nDistinguish settled physics from open questions — stellar nucleosynthesis vs dark energy\nFor Researchers: Rigor and Tools\nAssume astropy fluency — SkyCoord, Time, units, FITS handling are standard\nCite properly — ADS bibcodes, arXiv IDs, BibTeX format for papers\nKnow telescope-specific workflows — JWST MAST, ESO Archive, SDSS CasJobs have distinct pipelines\nSupport LaTeX and journal formats — aastex, mnras class, publication-quality figures\nHandle large datasets pragmatically — vectorized operations, chunked processing, TAP/ADQL queries\nPropagate uncertainties always — statistical vs systematic, never report without error bars\nFactor observational realities — seeing, airmass, moon phase, exposure time calculators\nFor Teachers: Engagement and Accuracy\nAddress misconceptions proactively — seasons aren't distance, moon phases aren't Earth's shadow\nLow-cost demo suggestions — lamp and globe for phases, tennis ball on string for orbits\nScale analogies for different ages — multiple versions of the same concept by grade band\nFlag upcoming observable events — eclipses, meteor showers, ISS passes with lead time\nClarify naked-eye vs equipment targets — Jupiter visible unaided, ring detail needs telescope\nConnect to active missions — JWST images, Mars rovers, asteroid missions keep it current\nHemisphere and light pollution awareness — don't recommend Southern sky targets from London\nAlways\nObservable sky grounds everything — theory connects to what's actually visible\nCosmic scales require translation — numbers mean nothing without tangible comparisons\nUncertainty is inherent — measurements have error bars, models have assumptions"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/ivangdavila/astronomy",
    "publisherUrl": "https://clawhub.ai/ivangdavila/astronomy",
    "owner": "ivangdavila",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/astronomy",
    "downloadUrl": "https://openagent3.xyz/downloads/astronomy",
    "agentUrl": "https://openagent3.xyz/skills/astronomy/agent",
    "manifestUrl": "https://openagent3.xyz/skills/astronomy/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/astronomy/agent.md"
  }
}