Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Query public open data from Umeå kommun on locations, facilities, demographics, environment, infrastructure, and building permits with geospatial support.
Query public open data from Umeå kommun on locations, facilities, demographics, environment, infrastructure, and building permits with geospatial support.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Query open data from Umeå kommun about locations, facilities, demographics, environment, and more.
https://opendata.umea.se/api/v2/
Lekplatser (Playgrounds) Dataset ID: gop_lekparker Contains playground locations managed by Gator och Parker Fields: namn, omrade, coordinates (geo_point_2d), contact info Example: "Var är närmaste lekplats till Mariehem?" Badplatser (Swimming Spots) Dataset ID: badplatser Public swimming locations in Umeå Fields: namn, omrade, typ, coordinates, handik_anp (accessibility) Example: "Vilka badplatser finns i Umeå?" Vandringsleder (Hiking Trails) Dataset ID: vandringsleder Hiking trails with routes and distances Fields: namn, delstracka, kommun, klass, langd (length in meters), geo_shape (trail geometry) Example: "Var kan jag vandra i Umeå?" Rastplatser (Rest Areas) Dataset ID: rastplatser Rest stops and picnic areas Fields: name, location coordinates Example: "Var finns rastplatser?" Träd (Trees) Dataset ID: trad-som-forvaltas-av-gator-och-parker Trees managed by Gator och Parker Fields: tree type, location, management data Example: "Vilka träd finns i området?"
Laddplatser (EV Charging Stations) Dataset ID: laddplatser Electric vehicle charging stations Fields: name, street, house_number, zipcode, city, owned_by, operator, number_charging_points, available_charging_points, position (lon/lat) Example: "Finns det laddplatser nära centrum?" WiFi Hotspots Dataset ID: wifi-hotspots Public WiFi access points Fields: popularnamn (name), koordinat (coordinates) Example: "Var finns gratis wifi i Umeå?"
Bygglov Beslut (Building Permit Decisions) Dataset ID: bygglov-beslut Approved building permits Fields: arendebeskrivning, arendetyp, beslut, beslutsdatum, registreringsdatum, beslutstyp Example: "Vilka bygglov har beviljats nyligen?" Bygglov Inkomna Ärenden (Building Permit Applications) Dataset ID: bygglov-inkomna-arenden Incoming building permit applications Fields: application details, submission date, status Example: "Hur många bygglovsansökningar har kommit in?"
Befolkningsförändringar (Population Changes) Dataset ID: befolkningsfoeraendringar-helar Population change statistics Fields: year, births, deaths, migration, total change Example: "Hur har befolkningen förändrats i Umeå?" Bostadsbestånd (Housing Stock) Dataset ID: bostadsbestand-hustyp Housing inventory by type Fields: house type, count, area Example: "Hur ser bostadsbeståndet ut?"
Växthusgasutsläpp (Greenhouse Gas Emissions) Dataset ID: vaxthusgasutslapp_umea Greenhouse gas emissions data for Umeå Fields: year, sector, emissions (tons CO2 equivalent) Example: "Vad är Umeås växthusgasutsläpp?" Brottsstatistik (Crime Statistics) Dataset ID: exempel-brottsstatistik-anmaelda-brott-fran-bra-s-oeppna-data Reported crimes from BRÅ open data Fields: crime type, count, year Example: "Hur ser brottsstatistiken ut?"
./scripts/query.sh <dataset_id> [limit] Example: ./scripts/query.sh badplatser 10 ./scripts/query.sh laddplatser 20
./scripts/nearby.sh <dataset_id> <lat> <lon> [limit] Example: # Find nearest playground to Mariehem (approx coordinates) ./scripts/nearby.sh gop_lekparker 63.8200 20.3000 5 # Find nearest EV charging station to city center ./scripts/nearby.sh laddplatser 63.8258 20.2630 5
curl "https://opendata.umea.se/api/v2/catalog/datasets"
curl "https://opendata.umea.se/api/v2/catalog/datasets/{dataset_id}/records?limit=20"
curl "https://opendata.umea.se/api/v2/catalog/datasets?where=search(default,\"query\")"
All records follow this structure: { "total_count": 123, "records": [ { "record": { "id": "unique-id", "timestamp": "2024-01-01T12:00:00Z", "fields": { "namn": "Location Name", "geo_point_2d": { "lat": 63.825, "lon": 20.263 }, ... } } } ] }
The AI can answer questions like: Recreation: "Var är närmaste lekplats till Mariehem?" "Vilka badplatser finns i Umeå?" "Var kan jag vandra?" "Finns det någon rastplats nära E4?" Infrastructure: "Finns det laddplatser nära centrum?" "Var finns gratis wifi?" "Hur många laddstolpar finns det totalt?" Planning: "Vilka bygglov har beviljats nyligen?" "Vad byggs i Umeå just nu?" Demographics & Environment: "Hur har befolkningen förändrats?" "Vad är Umeås växthusgasutsläpp?" "Hur många bostäder finns i Umeå?" "Hur ser brottsstatistiken ut?"
No API key required All data is public and open Coordinates use WGS84 (lat/lon) Some datasets include geo_shape for trails/routes Updated regularly by Umeå kommun
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.