skill · Global

omni-grid-civic-issue-triage

Open-source, modular agent skill designed to bridge the gap between complex municipal datasets and actionable civic infrastructure triage. By adhering to the Agent Skill Open Standard, it empowers any compatible AI assistant to process geospatial data locally, perform machine learning clustering, and summarize findings using open-weight models

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What's in it

Data offered llm-inferred: geolocated civic complaints (GeoJSON input) · geofence-based spatial filtering · machine-learning clustering of complaint locations · LLM summaries of clustered findings
Formats docs-verified: GeoJSON
Access llm-inferred: Open-source, licence listed as 'Other'. Optional LLM API key via LLM_API_KEY env var; the docs' example value is a local placeholder, not a hosted credential.

Useful for

Use cases llm-inferred: Clustering geolocated drainage or highway complaints to prioritise hotspot inspections · Triaging municipal complaint datasets by location for asset-team action lists · Generating a summary briefing of clustered asset issues for a client or council report
Audience llm-inferred: GIS analysts · civil engineers (highways and drainage asset teams) · local authority asset managers

Limitations

Constraints docs-verified: Demo CLI and synthetic complaints input are not yet implemented; demo targets report a dependency error · API and image/clustering dependencies are optional extras and are not installed by the baseline setup · Baseline environment targets Python 3.11 · GNU Make is not bundled with Python on Windows and must be installed separately

Licence: Other
Authentication: API key via env: LLM_API_KEY (auto-extracted from README)
GitHub stars: 0
Last commit: 16/10/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: Not recorded
Verification: Not independently verified

Auto-extracted, unverified fields: tools, auth. Check upstream documentation.

Provenance & evidence

Daily discovery 2026-10-16: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-16 (github-search)