{
  "schemaVersion": "1.0",
  "item": {
    "slug": "india-location-normalizer",
    "name": "India Location Normalizer RE-India",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/vishalgojha/india-location-normalizer",
    "canonicalUrl": "https://clawhub.ai/vishalgojha/india-location-normalizer",
    "targetPlatform": "OpenClaw"
  },
  "install": {
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    "downloadUrl": "/downloads/india-location-normalizer",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=india-location-normalizer",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "agents/openai.yaml",
      "references/india-location-aliases-v1.json",
      "references/location-normalizer-input.schema.json",
      "references/location-normalizer-output.schema.json"
    ],
    "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": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.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/india-location-normalizer"
    },
    "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/india-location-normalizer",
    "agentPageUrl": "https://openagent3.xyz/skills/india-location-normalizer/agent",
    "manifestUrl": "https://openagent3.xyz/skills/india-location-normalizer/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/india-location-normalizer/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": "India Location Normalizer",
        "body": "Resolve messy India locality aliases into canonical location fields without side effects."
      },
      {
        "title": "Quick Triggers",
        "body": "Normalize Mumbai/Pune location aliases from extracted leads.\nMap PCMC and Hinjewadi variants to canonical localities.\nResolve Mumbai shorthand like Scruz, Khar, Andheri W, Turner Road, Carter Road.\nStandardize locality names before scoring or storage."
      },
      {
        "title": "Recommended Chain",
        "body": "message-parser -> lead-extractor -> india-location-normalizer -> sentiment-priority-scorer\n\nTarget KPI for production tuning: improve canonical Mumbai/Pune locality resolution versus extractor-only baseline."
      },
      {
        "title": "Execute Workflow",
        "body": "Accept lead-location payload from Supervisor.\nValidate input against references/location-normalizer-input.schema.json.\nUse references/india-location-aliases-v1.json as the authoritative lookup map.\nMatch in this order:\n\nexact alias match (case-insensitive)\ntoken-normalized alias match (trim punctuation, collapse spaces)\nconservative fuzzy match only when clearly unambiguous\n\n\nReturn one normalized location record per input lead with:\n\ncity\nlocality_canonical\nmicro_market\nmatched_alias\nconfidence\nunresolved_flag\n\n\nValidate output against references/location-normalizer-output.schema.json."
      },
      {
        "title": "Enforce Boundaries",
        "body": "Never parse raw chat exports.\nNever extract non-location entities.\nNever write to Google Sheets, databases, or files.\nNever send messages or trigger external channels.\nNever auto-resolve low-confidence ambiguous aliases."
      },
      {
        "title": "Handle Ambiguity",
        "body": "If multiple localities match equally, set unresolved_flag: true.\nIf no confident match exists, preserve input in matched_alias and mark unresolved.\nPrefer false-negative over false-positive for city/locality assignment."
      }
    ],
    "body": "India Location Normalizer\n\nResolve messy India locality aliases into canonical location fields without side effects.\n\nQuick Triggers\nNormalize Mumbai/Pune location aliases from extracted leads.\nMap PCMC and Hinjewadi variants to canonical localities.\nResolve Mumbai shorthand like Scruz, Khar, Andheri W, Turner Road, Carter Road.\nStandardize locality names before scoring or storage.\nRecommended Chain\n\nmessage-parser -> lead-extractor -> india-location-normalizer -> sentiment-priority-scorer\n\nTarget KPI for production tuning: improve canonical Mumbai/Pune locality resolution versus extractor-only baseline.\n\nExecute Workflow\nAccept lead-location payload from Supervisor.\nValidate input against references/location-normalizer-input.schema.json.\nUse references/india-location-aliases-v1.json as the authoritative lookup map.\nMatch in this order:\nexact alias match (case-insensitive)\ntoken-normalized alias match (trim punctuation, collapse spaces)\nconservative fuzzy match only when clearly unambiguous\nReturn one normalized location record per input lead with:\ncity\nlocality_canonical\nmicro_market\nmatched_alias\nconfidence\nunresolved_flag\nValidate output against references/location-normalizer-output.schema.json.\nEnforce Boundaries\nNever parse raw chat exports.\nNever extract non-location entities.\nNever write to Google Sheets, databases, or files.\nNever send messages or trigger external channels.\nNever auto-resolve low-confidence ambiguous aliases.\nHandle Ambiguity\nIf multiple localities match equally, set unresolved_flag: true.\nIf no confident match exists, preserve input in matched_alias and mark unresolved.\nPrefer false-negative over false-positive for city/locality assignment."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/vishalgojha/india-location-normalizer",
    "publisherUrl": "https://clawhub.ai/vishalgojha/india-location-normalizer",
    "owner": "vishalgojha",
    "version": "1.0.1",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/india-location-normalizer",
    "downloadUrl": "https://openagent3.xyz/downloads/india-location-normalizer",
    "agentUrl": "https://openagent3.xyz/skills/india-location-normalizer/agent",
    "manifestUrl": "https://openagent3.xyz/skills/india-location-normalizer/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/india-location-normalizer/agent.md"
  }
}