{
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  "item": {
    "slug": "camino-real-estate",
    "name": "Real Estate Intelligence",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/James-southendsolutions/camino-real-estate",
    "canonicalUrl": "https://clawhub.ai/James-southendsolutions/camino-real-estate",
    "targetPlatform": "OpenClaw"
  },
  "install": {
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    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=camino-real-estate",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "scripts/real-estate.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. 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."
        }
      ]
    },
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      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
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        "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/camino-real-estate"
    },
    "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/camino-real-estate",
    "agentPageUrl": "https://openagent3.xyz/skills/camino-real-estate/agent",
    "manifestUrl": "https://openagent3.xyz/skills/camino-real-estate/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/camino-real-estate/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": "Installation",
        "body": "Companion Skills: This is part of the Camino AI location intelligence suite. Install all available skills (query, places, relationship, context, route, journey, real-estate, hotel-finder, ev-charger, school-finder, parking-finder, fitness-finder, safety-checker, travel-planner) for comprehensive coverage.\n\n# Install all skills from repo\nnpx skills add https://github.com/barneyjm/camino-skills\n\n# Or install specific skills\nnpx skills add https://github.com/barneyjm/camino-skills --skill real-estate\n\nVia clawhub:\n\nnpx clawhub@latest install real-estate\n# or: pnpm dlx clawhub@latest install real-estate\n# or: bunx clawhub@latest install real-estate"
      },
      {
        "title": "Real Estate Scout",
        "body": "Evaluate any address or location for home buyers and renters. Combines location context analysis with targeted amenity searches to surface nearby schools, transit, grocery stores, parks, restaurants, and walkability insights."
      },
      {
        "title": "Setup",
        "body": "Instant Trial (no signup required): Get a temporary API key with 25 calls:\n\ncurl -s -X POST -H \"Content-Type: application/json\" \\\n  -d '{\"email\": \"you@example.com\"}' \\\n  https://api.getcamino.ai/trial/start\n\nReturns: {\"api_key\": \"camino-xxx...\", \"calls_remaining\": 25, ...}\n\nFor 1,000 free calls/month, sign up at https://app.getcamino.ai/skills/activate.\n\nAdd your key to Claude Code:\n\nAdd to your ~/.claude/settings.json:\n\n{\n  \"env\": {\n    \"CAMINO_API_KEY\": \"your-api-key-here\"\n  }\n}\n\nRestart Claude Code."
      },
      {
        "title": "Via Shell Script",
        "body": "# Evaluate an address\n./scripts/real-estate.sh '{\"address\": \"742 Evergreen Terrace, Springfield\", \"radius\": 1000}'\n\n# Evaluate with coordinates\n./scripts/real-estate.sh '{\"location\": {\"lat\": 40.7589, \"lon\": -73.9851}, \"radius\": 1500}'\n\n# Evaluate with smaller radius for dense urban area\n./scripts/real-estate.sh '{\"address\": \"350 Fifth Avenue, New York, NY\", \"radius\": 500}'"
      },
      {
        "title": "Via curl",
        "body": "# Step 1: Geocode the address\ncurl -H \"X-API-Key: $CAMINO_API_KEY\" \\\n  \"https://api.getcamino.ai/query?query=742+Evergreen+Terrace+Springfield&limit=1\"\n\n# Step 2: Get context with real estate focus\ncurl -X POST -H \"X-API-Key: $CAMINO_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"location\": {\"lat\": 40.7589, \"lon\": -73.9851}, \"radius\": 1000, \"context\": \"real estate evaluation: schools, transit, grocery, parks, restaurants, walkability\"}' \\\n  \"https://api.getcamino.ai/context\""
      },
      {
        "title": "Parameters",
        "body": "ParameterTypeRequiredDefaultDescriptionaddressstringNo*-Street address to evaluate (geocoded automatically)locationobjectNo*-Coordinate with lat/lon to evaluateradiusintNo1000Search radius in meters around the location\n\n*Either address or location is required."
      },
      {
        "title": "Response Format",
        "body": "{\n  \"area_description\": \"Residential neighborhood in Midtown Manhattan with excellent transit access...\",\n  \"relevant_places\": {\n    \"schools\": [...],\n    \"transit\": [...],\n    \"grocery\": [...],\n    \"parks\": [...],\n    \"restaurants\": [...]\n  },\n  \"location\": {\"lat\": 40.7589, \"lon\": -73.9851},\n  \"search_radius\": 1000,\n  \"total_places_found\": 63,\n  \"context_insights\": \"This area offers strong walkability with multiple grocery options within 500m...\"\n}"
      },
      {
        "title": "Evaluate a suburban address",
        "body": "./scripts/real-estate.sh '{\"address\": \"123 Oak Street, Palo Alto, CA\", \"radius\": 1500}'"
      },
      {
        "title": "Evaluate an urban apartment",
        "body": "./scripts/real-estate.sh '{\"location\": {\"lat\": 40.7484, \"lon\": -73.9857}, \"radius\": 800}'"
      },
      {
        "title": "Evaluate a neighborhood by coordinates",
        "body": "./scripts/real-estate.sh '{\"location\": {\"lat\": 37.7749, \"lon\": -122.4194}, \"radius\": 2000}'"
      },
      {
        "title": "Best Practices",
        "body": "Use address for street addresses; the script will geocode them automatically\nUse location with lat/lon when you already have coordinates\nStart with a 1000m radius for suburban areas, 500m for dense urban areas\nCombine with the relationship skill to calculate commute distances to workplaces\nCombine with the route skill to estimate travel times to key destinations\nUse the school-finder skill for more detailed school searches"
      }
    ],
    "body": "Installation\n\nCompanion Skills: This is part of the Camino AI location intelligence suite. Install all available skills (query, places, relationship, context, route, journey, real-estate, hotel-finder, ev-charger, school-finder, parking-finder, fitness-finder, safety-checker, travel-planner) for comprehensive coverage.\n\n# Install all skills from repo\nnpx skills add https://github.com/barneyjm/camino-skills\n\n# Or install specific skills\nnpx skills add https://github.com/barneyjm/camino-skills --skill real-estate\n\n\nVia clawhub:\n\nnpx clawhub@latest install real-estate\n# or: pnpm dlx clawhub@latest install real-estate\n# or: bunx clawhub@latest install real-estate\n\nReal Estate Scout\n\nEvaluate any address or location for home buyers and renters. Combines location context analysis with targeted amenity searches to surface nearby schools, transit, grocery stores, parks, restaurants, and walkability insights.\n\nSetup\n\nInstant Trial (no signup required): Get a temporary API key with 25 calls:\n\ncurl -s -X POST -H \"Content-Type: application/json\" \\\n  -d '{\"email\": \"you@example.com\"}' \\\n  https://api.getcamino.ai/trial/start\n\n\nReturns: {\"api_key\": \"camino-xxx...\", \"calls_remaining\": 25, ...}\n\nFor 1,000 free calls/month, sign up at https://app.getcamino.ai/skills/activate.\n\nAdd your key to Claude Code:\n\nAdd to your ~/.claude/settings.json:\n\n{\n  \"env\": {\n    \"CAMINO_API_KEY\": \"your-api-key-here\"\n  }\n}\n\n\nRestart Claude Code.\n\nUsage\nVia Shell Script\n# Evaluate an address\n./scripts/real-estate.sh '{\"address\": \"742 Evergreen Terrace, Springfield\", \"radius\": 1000}'\n\n# Evaluate with coordinates\n./scripts/real-estate.sh '{\"location\": {\"lat\": 40.7589, \"lon\": -73.9851}, \"radius\": 1500}'\n\n# Evaluate with smaller radius for dense urban area\n./scripts/real-estate.sh '{\"address\": \"350 Fifth Avenue, New York, NY\", \"radius\": 500}'\n\nVia curl\n# Step 1: Geocode the address\ncurl -H \"X-API-Key: $CAMINO_API_KEY\" \\\n  \"https://api.getcamino.ai/query?query=742+Evergreen+Terrace+Springfield&limit=1\"\n\n# Step 2: Get context with real estate focus\ncurl -X POST -H \"X-API-Key: $CAMINO_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"location\": {\"lat\": 40.7589, \"lon\": -73.9851}, \"radius\": 1000, \"context\": \"real estate evaluation: schools, transit, grocery, parks, restaurants, walkability\"}' \\\n  \"https://api.getcamino.ai/context\"\n\nParameters\nParameter\tType\tRequired\tDefault\tDescription\naddress\tstring\tNo*\t-\tStreet address to evaluate (geocoded automatically)\nlocation\tobject\tNo*\t-\tCoordinate with lat/lon to evaluate\nradius\tint\tNo\t1000\tSearch radius in meters around the location\n\n*Either address or location is required.\n\nResponse Format\n{\n  \"area_description\": \"Residential neighborhood in Midtown Manhattan with excellent transit access...\",\n  \"relevant_places\": {\n    \"schools\": [...],\n    \"transit\": [...],\n    \"grocery\": [...],\n    \"parks\": [...],\n    \"restaurants\": [...]\n  },\n  \"location\": {\"lat\": 40.7589, \"lon\": -73.9851},\n  \"search_radius\": 1000,\n  \"total_places_found\": 63,\n  \"context_insights\": \"This area offers strong walkability with multiple grocery options within 500m...\"\n}\n\nExamples\nEvaluate a suburban address\n./scripts/real-estate.sh '{\"address\": \"123 Oak Street, Palo Alto, CA\", \"radius\": 1500}'\n\nEvaluate an urban apartment\n./scripts/real-estate.sh '{\"location\": {\"lat\": 40.7484, \"lon\": -73.9857}, \"radius\": 800}'\n\nEvaluate a neighborhood by coordinates\n./scripts/real-estate.sh '{\"location\": {\"lat\": 37.7749, \"lon\": -122.4194}, \"radius\": 2000}'\n\nBest Practices\nUse address for street addresses; the script will geocode them automatically\nUse location with lat/lon when you already have coordinates\nStart with a 1000m radius for suburban areas, 500m for dense urban areas\nCombine with the relationship skill to calculate commute distances to workplaces\nCombine with the route skill to estimate travel times to key destinations\nUse the school-finder skill for more detailed school searches"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/James-southendsolutions/camino-real-estate",
    "publisherUrl": "https://clawhub.ai/James-southendsolutions/camino-real-estate",
    "owner": "James-southendsolutions",
    "version": "0.2.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/camino-real-estate",
    "downloadUrl": "https://openagent3.xyz/downloads/camino-real-estate",
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}