{
  "schemaVersion": "1.0",
  "item": {
    "slug": "water",
    "name": "Water Tracker",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/ivangdavila/water",
    "canonicalUrl": "https://clawhub.ai/ivangdavila/water",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/water",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=water",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "containers.md",
      "patterns.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/water"
    },
    "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/water",
    "agentPageUrl": "https://openagent3.xyz/skills/water/agent",
    "manifestUrl": "https://openagent3.xyz/skills/water/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/water/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": "Auto-Adaptive Hydration Tracking",
        "body": "This skill auto-evolves. Fills in as you learn how the user hydrates and what affects it.\n\nRules:\n\nAbsorb hydration mentions from ANY source (conversations, meal logs, exercise)\nFirst mention: calibrate container sizes (\"What size is your usual glass/bottle?\")\nAccept vague logs — \"had water with lunch\" → estimate from context\nOne clarifying question MAX if truly ambiguous, then remember the answer\nNever nag about missed glasses or push specific ml/oz targets\nIf user logs soda/juice/coffee — just log it, no judgment, no lecture\nHot weather, exercise, coffee mentioned → note increased needs silently\nUser mentions headache/fatigue → gentle \"How's water intake today?\" (once)\nBuild pattern over time: meals, morning routine, work habits\nCheck containers.md for learned sizes, patterns.md for detected habits"
      },
      {
        "title": "Memory Storage",
        "body": "User preferences persist in: ~/water/memory.md\n\nCreate and maintain this file with learned data:\n\n## Sources\n<!-- Where hydration data comes from. Format: \"source: what\" -->\n<!-- Examples: conversation: meal mentions, fitness: post-workout -->\n\n## Containers\n<!-- Learned container sizes. Format: \"container: size\" -->\n<!-- Examples: usual glass: 300ml, gym bottle: 750ml, restaurant: 250ml -->\n\n## Schedule\n<!-- Detected hydration patterns. Format: \"pattern\" -->\n<!-- Examples: always with lunch, coffee then water AM, evening tea -->\n\n## Correlations\n<!-- What affects their hydration. Format: \"factor: effect\" -->\n<!-- Examples: gym days: +500ml, hot weather: extra glass, coffee: follows with water -->\n\n## Preferences\n<!-- How they want hydration tracked. Format: \"preference\" -->\n<!-- Examples: no reminders, just log silently, weekly summary only -->\n\n## Flags\n<!-- Signs of low hydration to watch. Format: \"signal\" -->\n<!-- Examples: headache, fatigue, dark urine mentioned, skipped water at lunch -->\n\nEmpty sections = no data yet. Observe and fill."
      }
    ],
    "body": "Auto-Adaptive Hydration Tracking\n\nThis skill auto-evolves. Fills in as you learn how the user hydrates and what affects it.\n\nRules:\n\nAbsorb hydration mentions from ANY source (conversations, meal logs, exercise)\nFirst mention: calibrate container sizes (\"What size is your usual glass/bottle?\")\nAccept vague logs — \"had water with lunch\" → estimate from context\nOne clarifying question MAX if truly ambiguous, then remember the answer\nNever nag about missed glasses or push specific ml/oz targets\nIf user logs soda/juice/coffee — just log it, no judgment, no lecture\nHot weather, exercise, coffee mentioned → note increased needs silently\nUser mentions headache/fatigue → gentle \"How's water intake today?\" (once)\nBuild pattern over time: meals, morning routine, work habits\nCheck containers.md for learned sizes, patterns.md for detected habits\nMemory Storage\n\nUser preferences persist in: ~/water/memory.md\n\nCreate and maintain this file with learned data:\n\n## Sources\n<!-- Where hydration data comes from. Format: \"source: what\" -->\n<!-- Examples: conversation: meal mentions, fitness: post-workout -->\n\n## Containers\n<!-- Learned container sizes. Format: \"container: size\" -->\n<!-- Examples: usual glass: 300ml, gym bottle: 750ml, restaurant: 250ml -->\n\n## Schedule\n<!-- Detected hydration patterns. Format: \"pattern\" -->\n<!-- Examples: always with lunch, coffee then water AM, evening tea -->\n\n## Correlations\n<!-- What affects their hydration. Format: \"factor: effect\" -->\n<!-- Examples: gym days: +500ml, hot weather: extra glass, coffee: follows with water -->\n\n## Preferences\n<!-- How they want hydration tracked. Format: \"preference\" -->\n<!-- Examples: no reminders, just log silently, weekly summary only -->\n\n## Flags\n<!-- Signs of low hydration to watch. Format: \"signal\" -->\n<!-- Examples: headache, fatigue, dark urine mentioned, skipped water at lunch -->\n\n\nEmpty sections = no data yet. Observe and fill."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/ivangdavila/water",
    "publisherUrl": "https://clawhub.ai/ivangdavila/water",
    "owner": "ivangdavila",
    "version": "1.0.1",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/water",
    "downloadUrl": "https://openagent3.xyz/downloads/water",
    "agentUrl": "https://openagent3.xyz/skills/water/agent",
    "manifestUrl": "https://openagent3.xyz/skills/water/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/water/agent.md"
  }
}