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jaaklajaakla/openmapstack/skills/geospatial-data-discovery/SKILL.md

geospatial-data-discovery

Skill76 starsChanged 45 days agoMITView on GitHub

Find and assess authoritative geospatial datasets or catalogs against known requirements: coverage, feature meaning, access, license, completeness, versions and reproducible pinning. Use for public sources, STAC/Portolan catalogs and read-only discovery of user data. Route joint source/compute/storage/delivery architecture to open-map-stack; do not turn a bounded lookup into a full analysis project.

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The file

We split this skill into the rules it gives an agent

8 rules. About 0 are common, 4 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read references/data-sources.md for public sources and STAC/Portolan catalogs.

    line 19
  2. Distinctive:

    Prefer the authoritative provider for the requested meaning.

    line 28
  3. Distinctive:

    Check coverage and completeness using provider counts, pagination, catalog structure, partitions and spatial/temporal filters as applicable.

    line 34
  4. Very specific:

    When the user has dlt, Dagster, dbt, QGIS or Observable in their stack, read references/established-stack.md for ownership and integration …

    line 48
  5. Very specific:

    Use references/formats-and-crs.md when inspecting coordinate systems, formats or spatial extents.

    line 55
  6. Distinctive:

    When source choice depends on unresolved compute placement, continental scale, team concurrency or delivery architecture, keep those …

    line 62
  7. Very specific:

    No project template, worked example or OpenMapStack CLI is needed for a source assessment.

    line 67
  8. Distinctive:

    Keep GIS correctness and the task boundaries above when using a companion.

    line 73

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Geospatial data discovery

Find data that answers the user's question, and show what is known about its fitness. Dataset names, convenient APIs and plausible-looking geometries are not evidence that the features have the intended meaning.

Discover and assess

  1. Establish the area, time/version, feature semantics, necessary attributes, resolution, completeness and intended use. Ask only for consequential missing requirements; record assumptions that are safe to proceed with.
  2. Read references/data-sources.md for public sources and STAC/Portolan catalogs. For the user's warehouse/database, read references/user-data-sources.md; use credentials by reference and read-only inspection. Snapshot materialization follows the existing authorization boundary. Before presenting current availability, coverage or licensing as verified, open the provider's actual metadata/download/license pages during this task. Reference notes are discovery leads, not evidence of a fresh lookup. Cite the pages checked and the check date; if access is unavailable, label the recommendation unverified and state what is missing.
  3. Prefer the authoritative provider for the requested meaning. Verify fields and code lists against current provider metadata (report unavailable access): ownership, active status, eligibility and missing values must not be inferred from a generic category. Preserve unknowns as unknown. Official status alone does not prove that every alternative derives from that source or is less current; support comparative claims with evidence.
  4. Check coverage and completeness using provider counts, pagination, catalog structure, partitions and spatial/temporal filters as applicable. Distinguish a sample from a complete extract and a partial catalog from absent data.
  5. Identify a reproducible version or immutable snapshot, access method, retrieval time and license/attribution requirements. A URL containing latest, a filename or a retrieval date alone is not an immutable pin; retain snapshot bytes and their content hash when the source is mutable. Report unresolved license or retention constraints without inventing terms or promising a future rerun.

Return a concise source assessment: provider/dataset, authoritative link, coverage/time, relevant fields and predicates, access/pin strategy, completeness evidence and material limitations. Compare alternatives when they change the answer; do not download an entire dataset just to establish its existence.

When the user has dlt, Dagster, dbt, QGIS or Observable in their stack, read references/established-stack.md for ownership and integration boundaries. Preserve their chosen tools; retain source pins, GIS correctness and reproducible evidence. Do not duplicate their SQL, ingestion or scheduler definitions.

Boundaries and resources

Use references/formats-and-crs.md when inspecting coordinate systems, formats or spatial extents. A bounded discovery answer does not require project.yaml, a canonical pipeline or presentation artifacts. If the user asks for the actual multi-stage analysis, use an installed open-map-stack or reproducible-gis-project, or explain the needed next step; do not label a source assessment as a completed material analysis.

When source choice depends on unresolved compute placement, continental scale, team concurrency or delivery architecture, keep those coupled decisions with the generalist. Do not choose an engine merely because a dataset is easy to query with it.

No project template, worked example or OpenMapStack CLI is needed for a source assessment. If the task expands into a project, hand off the source assessment to an installed open-map-stack or reproducible-gis-project. No sibling skill or third-party installation is required for bounded discovery.

For optional product expertise, read references/companion-skills.md. Keep GIS correctness and the task boundaries above when using a companion.

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