{
  "schemaVersion": "1.0",
  "item": {
    "slug": "umea-data",
    "name": "Umeå Data",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/Simskii/umea-data",
    "canonicalUrl": "https://clawhub.ai/Simskii/umea-data",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/umea-data",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=umea-data",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "README.md",
      "SKILL.md",
      "scripts/nearby.sh",
      "scripts/query.sh"
    ],
    "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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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/umea-data"
    },
    "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/umea-data",
    "agentPageUrl": "https://openagent3.xyz/skills/umea-data/agent",
    "manifestUrl": "https://openagent3.xyz/skills/umea-data/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/umea-data/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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Umeå Data - Open Data från Umeå kommun",
        "body": "Query open data from Umeå kommun about locations, facilities, demographics, environment, and more."
      },
      {
        "title": "API Base URL",
        "body": "https://opendata.umea.se/api/v2/"
      },
      {
        "title": "🏞️ Recreation & Facilities",
        "body": "Lekplatser (Playgrounds)\n\nDataset ID: gop_lekparker\nContains playground locations managed by Gator och Parker\nFields: namn, omrade, coordinates (geo_point_2d), contact info\nExample: \"Var är närmaste lekplats till Mariehem?\"\n\nBadplatser (Swimming Spots)\n\nDataset ID: badplatser\nPublic swimming locations in Umeå\nFields: namn, omrade, typ, coordinates, handik_anp (accessibility)\nExample: \"Vilka badplatser finns i Umeå?\"\n\nVandringsleder (Hiking Trails)\n\nDataset ID: vandringsleder\nHiking trails with routes and distances\nFields: namn, delstracka, kommun, klass, langd (length in meters), geo_shape (trail geometry)\nExample: \"Var kan jag vandra i Umeå?\"\n\nRastplatser (Rest Areas)\n\nDataset ID: rastplatser\nRest stops and picnic areas\nFields: name, location coordinates\nExample: \"Var finns rastplatser?\"\n\nTräd (Trees)\n\nDataset ID: trad-som-forvaltas-av-gator-och-parker\nTrees managed by Gator och Parker\nFields: tree type, location, management data\nExample: \"Vilka träd finns i området?\""
      },
      {
        "title": "⚡ Infrastructure",
        "body": "Laddplatser (EV Charging Stations)\n\nDataset ID: laddplatser\nElectric vehicle charging stations\nFields: name, street, house_number, zipcode, city, owned_by, operator, number_charging_points, available_charging_points, position (lon/lat)\nExample: \"Finns det laddplatser nära centrum?\"\n\nWiFi Hotspots\n\nDataset ID: wifi-hotspots\nPublic WiFi access points\nFields: popularnamn (name), koordinat (coordinates)\nExample: \"Var finns gratis wifi i Umeå?\""
      },
      {
        "title": "🏗️ Building & Planning",
        "body": "Bygglov Beslut (Building Permit Decisions)\n\nDataset ID: bygglov-beslut\nApproved building permits\nFields: arendebeskrivning, arendetyp, beslut, beslutsdatum, registreringsdatum, beslutstyp\nExample: \"Vilka bygglov har beviljats nyligen?\"\n\nBygglov Inkomna Ärenden (Building Permit Applications)\n\nDataset ID: bygglov-inkomna-arenden\nIncoming building permit applications\nFields: application details, submission date, status\nExample: \"Hur många bygglovsansökningar har kommit in?\""
      },
      {
        "title": "📊 Demographics & Statistics",
        "body": "Befolkningsförändringar (Population Changes)\n\nDataset ID: befolkningsfoeraendringar-helar\nPopulation change statistics\nFields: year, births, deaths, migration, total change\nExample: \"Hur har befolkningen förändrats i Umeå?\"\n\nBostadsbestånd (Housing Stock)\n\nDataset ID: bostadsbestand-hustyp\nHousing inventory by type\nFields: house type, count, area\nExample: \"Hur ser bostadsbeståndet ut?\""
      },
      {
        "title": "🌍 Environment",
        "body": "Växthusgasutsläpp (Greenhouse Gas Emissions)\n\nDataset ID: vaxthusgasutslapp_umea\nGreenhouse gas emissions data for Umeå\nFields: year, sector, emissions (tons CO2 equivalent)\nExample: \"Vad är Umeås växthusgasutsläpp?\"\n\nBrottsstatistik (Crime Statistics)\n\nDataset ID: exempel-brottsstatistik-anmaelda-brott-fran-bra-s-oeppna-data\nReported crimes from BRÅ open data\nFields: crime type, count, year\nExample: \"Hur ser brottsstatistiken ut?\""
      },
      {
        "title": "Query a Dataset",
        "body": "./scripts/query.sh <dataset_id> [limit]\n\nExample:\n\n./scripts/query.sh badplatser 10\n./scripts/query.sh laddplatser 20"
      },
      {
        "title": "Find Nearest Location",
        "body": "./scripts/nearby.sh <dataset_id> <lat> <lon> [limit]\n\nExample:\n\n# Find nearest playground to Mariehem (approx coordinates)\n./scripts/nearby.sh gop_lekparker 63.8200 20.3000 5\n\n# Find nearest EV charging station to city center\n./scripts/nearby.sh laddplatser 63.8258 20.2630 5"
      },
      {
        "title": "List All Datasets",
        "body": "curl \"https://opendata.umea.se/api/v2/catalog/datasets\""
      },
      {
        "title": "Get Records from a Dataset",
        "body": "curl \"https://opendata.umea.se/api/v2/catalog/datasets/{dataset_id}/records?limit=20\""
      },
      {
        "title": "Search Datasets",
        "body": "curl \"https://opendata.umea.se/api/v2/catalog/datasets?where=search(default,\\\"query\\\")\""
      },
      {
        "title": "Data Format",
        "body": "All records follow this structure:\n\n{\n  \"total_count\": 123,\n  \"records\": [\n    {\n      \"record\": {\n        \"id\": \"unique-id\",\n        \"timestamp\": \"2024-01-01T12:00:00Z\",\n        \"fields\": {\n          \"namn\": \"Location Name\",\n          \"geo_point_2d\": {\n            \"lat\": 63.825,\n            \"lon\": 20.263\n          },\n          ...\n        }\n      }\n    }\n  ]\n}"
      },
      {
        "title": "Natural Language Query Examples",
        "body": "The AI can answer questions like:\n\nRecreation:\n\n\"Var är närmaste lekplats till Mariehem?\"\n\"Vilka badplatser finns i Umeå?\"\n\"Var kan jag vandra?\"\n\"Finns det någon rastplats nära E4?\"\n\nInfrastructure:\n\n\"Finns det laddplatser nära centrum?\"\n\"Var finns gratis wifi?\"\n\"Hur många laddstolpar finns det totalt?\"\n\nPlanning:\n\n\"Vilka bygglov har beviljats nyligen?\"\n\"Vad byggs i Umeå just nu?\"\n\nDemographics & Environment:\n\n\"Hur har befolkningen förändrats?\"\n\"Vad är Umeås växthusgasutsläpp?\"\n\"Hur många bostäder finns i Umeå?\"\n\"Hur ser brottsstatistiken ut?\""
      },
      {
        "title": "Notes",
        "body": "No API key required\nAll data is public and open\nCoordinates use WGS84 (lat/lon)\nSome datasets include geo_shape for trails/routes\nUpdated regularly by Umeå kommun"
      }
    ],
    "body": "Umeå Data - Open Data från Umeå kommun\n\nQuery open data from Umeå kommun about locations, facilities, demographics, environment, and more.\n\nAPI Base URL\n\nhttps://opendata.umea.se/api/v2/\n\nAvailable Data Categories\n🏞️ Recreation & Facilities\nLekplatser (Playgrounds)\nDataset ID: gop_lekparker\nContains playground locations managed by Gator och Parker\nFields: namn, omrade, coordinates (geo_point_2d), contact info\nExample: \"Var är närmaste lekplats till Mariehem?\"\nBadplatser (Swimming Spots)\nDataset ID: badplatser\nPublic swimming locations in Umeå\nFields: namn, omrade, typ, coordinates, handik_anp (accessibility)\nExample: \"Vilka badplatser finns i Umeå?\"\nVandringsleder (Hiking Trails)\nDataset ID: vandringsleder\nHiking trails with routes and distances\nFields: namn, delstracka, kommun, klass, langd (length in meters), geo_shape (trail geometry)\nExample: \"Var kan jag vandra i Umeå?\"\nRastplatser (Rest Areas)\nDataset ID: rastplatser\nRest stops and picnic areas\nFields: name, location coordinates\nExample: \"Var finns rastplatser?\"\nTräd (Trees)\nDataset ID: trad-som-forvaltas-av-gator-och-parker\nTrees managed by Gator och Parker\nFields: tree type, location, management data\nExample: \"Vilka träd finns i området?\"\n⚡ Infrastructure\nLaddplatser (EV Charging Stations)\nDataset ID: laddplatser\nElectric vehicle charging stations\nFields: name, street, house_number, zipcode, city, owned_by, operator, number_charging_points, available_charging_points, position (lon/lat)\nExample: \"Finns det laddplatser nära centrum?\"\nWiFi Hotspots\nDataset ID: wifi-hotspots\nPublic WiFi access points\nFields: popularnamn (name), koordinat (coordinates)\nExample: \"Var finns gratis wifi i Umeå?\"\n🏗️ Building & Planning\nBygglov Beslut (Building Permit Decisions)\nDataset ID: bygglov-beslut\nApproved building permits\nFields: arendebeskrivning, arendetyp, beslut, beslutsdatum, registreringsdatum, beslutstyp\nExample: \"Vilka bygglov har beviljats nyligen?\"\nBygglov Inkomna Ärenden (Building Permit Applications)\nDataset ID: bygglov-inkomna-arenden\nIncoming building permit applications\nFields: application details, submission date, status\nExample: \"Hur många bygglovsansökningar har kommit in?\"\n📊 Demographics & Statistics\nBefolkningsförändringar (Population Changes)\nDataset ID: befolkningsfoeraendringar-helar\nPopulation change statistics\nFields: year, births, deaths, migration, total change\nExample: \"Hur har befolkningen förändrats i Umeå?\"\nBostadsbestånd (Housing Stock)\nDataset ID: bostadsbestand-hustyp\nHousing inventory by type\nFields: house type, count, area\nExample: \"Hur ser bostadsbeståndet ut?\"\n🌍 Environment\nVäxthusgasutsläpp (Greenhouse Gas Emissions)\nDataset ID: vaxthusgasutslapp_umea\nGreenhouse gas emissions data for Umeå\nFields: year, sector, emissions (tons CO2 equivalent)\nExample: \"Vad är Umeås växthusgasutsläpp?\"\nBrottsstatistik (Crime Statistics)\nDataset ID: exempel-brottsstatistik-anmaelda-brott-fran-bra-s-oeppna-data\nReported crimes from BRÅ open data\nFields: crime type, count, year\nExample: \"Hur ser brottsstatistiken ut?\"\nUsage\nQuery a Dataset\n./scripts/query.sh <dataset_id> [limit]\n\n\nExample:\n\n./scripts/query.sh badplatser 10\n./scripts/query.sh laddplatser 20\n\nFind Nearest Location\n./scripts/nearby.sh <dataset_id> <lat> <lon> [limit]\n\n\nExample:\n\n# Find nearest playground to Mariehem (approx coordinates)\n./scripts/nearby.sh gop_lekparker 63.8200 20.3000 5\n\n# Find nearest EV charging station to city center\n./scripts/nearby.sh laddplatser 63.8258 20.2630 5\n\nAPI Endpoints\nList All Datasets\ncurl \"https://opendata.umea.se/api/v2/catalog/datasets\"\n\nGet Records from a Dataset\ncurl \"https://opendata.umea.se/api/v2/catalog/datasets/{dataset_id}/records?limit=20\"\n\nSearch Datasets\ncurl \"https://opendata.umea.se/api/v2/catalog/datasets?where=search(default,\\\"query\\\")\"\n\nData Format\n\nAll records follow this structure:\n\n{\n  \"total_count\": 123,\n  \"records\": [\n    {\n      \"record\": {\n        \"id\": \"unique-id\",\n        \"timestamp\": \"2024-01-01T12:00:00Z\",\n        \"fields\": {\n          \"namn\": \"Location Name\",\n          \"geo_point_2d\": {\n            \"lat\": 63.825,\n            \"lon\": 20.263\n          },\n          ...\n        }\n      }\n    }\n  ]\n}\n\nNatural Language Query Examples\n\nThe AI can answer questions like:\n\nRecreation:\n\n\"Var är närmaste lekplats till Mariehem?\"\n\"Vilka badplatser finns i Umeå?\"\n\"Var kan jag vandra?\"\n\"Finns det någon rastplats nära E4?\"\n\nInfrastructure:\n\n\"Finns det laddplatser nära centrum?\"\n\"Var finns gratis wifi?\"\n\"Hur många laddstolpar finns det totalt?\"\n\nPlanning:\n\n\"Vilka bygglov har beviljats nyligen?\"\n\"Vad byggs i Umeå just nu?\"\n\nDemographics & Environment:\n\n\"Hur har befolkningen förändrats?\"\n\"Vad är Umeås växthusgasutsläpp?\"\n\"Hur många bostäder finns i Umeå?\"\n\"Hur ser brottsstatistiken ut?\"\nNotes\nNo API key required\nAll data is public and open\nCoordinates use WGS84 (lat/lon)\nSome datasets include geo_shape for trails/routes\nUpdated regularly by Umeå kommun"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/Simskii/umea-data",
    "publisherUrl": "https://clawhub.ai/Simskii/umea-data",
    "owner": "Simskii",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/umea-data",
    "downloadUrl": "https://openagent3.xyz/downloads/umea-data",
    "agentUrl": "https://openagent3.xyz/skills/umea-data/agent",
    "manifestUrl": "https://openagent3.xyz/skills/umea-data/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/umea-data/agent.md"
  }
}