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Skillv1.0.0

geo-toolkit

Parse, convert, geocode, visualize, and measure geographic data. Use for address cleanup, geo file conversion, mapping, and distance workflows.

by dkyazzentwatwa(0) 0 installs
Free
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Free account. Installing gives you the manifest plus copy-paste snippets.

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About

Imported from dkyazzentwatwa/chatgpt-skills (geo-toolkit/SKILL.md). Install upstream with npx skills add dkyazzentwatwa/chatgpt-skills --skill geo-toolkit. Copyright stays with the author.

Geo Toolkit

Use this suite for practical geographic data preparation and inspection.

Included Tools

  • address_parser.py
  • distance_calc.py
  • geo_visualizer.py
  • geocoder.py
  • kml_geojson_converter.py
  • territory_mapper.py

Workflow

  1. Determine whether the task is parsing, conversion, lookup, measurement, or visualization.
  2. Normalize addresses or file formats before doing downstream mapping work.
  3. Use the smallest tool that solves the request and return any geocoding or projection caveats.

Guardrails

  • Treat geocoding results as approximate unless the source data is already precise.
  • Call out coordinate system or file-format assumptions when converting map artifacts.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/dkyazzentwatwa-chatgpt-skills-geo-toolkit/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

dkyazzentwatwa-chatgpt-skills-geo-toolkit.ocm.jsonjson
{
  "ocm": "1",
  "id": "dkyazzentwatwa-chatgpt-skills-geo-toolkit",
  "kind": "skill",
  "name": "geo-toolkit",
  "description": "Parse, convert, geocode, visualize, and measure geographic data. Use for address cleanup, geo file conversion, mapping, and distance workflows.",
  "publisher": "dkyazzentwatwa",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "data_analysis"
    ],
    "tags": [
      "skill-md",
      "github"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Parse, convert, geocode, visualize, and measure geographic data. Use for address cleanup, geo file conversion, mapping, and distance workflows."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github",
      "repository": "https://github.com/dkyazzentwatwa/chatgpt-skills",
      "path": "geo-toolkit/SKILL.md",
      "ref": "103b4308f65df393e76765cb1ce12395d9cf5106",
      "url": "https://github.com/dkyazzentwatwa/chatgpt-skills/blob/103b4308f65df393e76765cb1ce12395d9cf5106/geo-toolkit/SKILL.md",
      "key": "dkyazzentwatwa/chatgpt-skills/geo-toolkit/SKILL.md"
    }
  },
  "instructions": "# Geo Toolkit\n\nUse this suite for practical geographic data preparation and inspection.\n\n## Included Tools\n\n- `address_parser.py`\n- `distance_calc.py`\n- `geo_visualizer.py`\n- `geocoder.py`\n- `kml_geojson_converter.py`\n- `territory_mapper.py`\n\n## Workflow\n\n1. Determine whether the task is parsing, conversion, lookup, measurement, or visualization.\n2. Normalize addresses or file formats before doing downstream mapping work.\n3. Use the smallest tool that solves the request and return any geocoding or projection caveats.\n\n## Guardrails\n\n- Treat geocoding results as approximate unless the source da",
  "cost": {
    "context_tokens": 177
  }
}

Fetch it by URL: GET /api/v1/registry/dkyazzentwatwa-chatgpt-skills-geo-toolkit/manifest?version=1.0.0

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