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ecological-cemetery-planning-agent-skill

🌿🪦 Ecological Cemetery Planning & Natural Burial Design Engine | Production-grade Claude Code harness & Python GIS advisor for green burial grounds. Features GBC certification standards, groundwater attenuation modeling..

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What's in it

Data offered docs-verified
site suitability scoring (slope, soil, water table, bedrock, buffers, flood, zoning) · pathogen and pollutant attenuation modelling · green-burial criteria (Green Burial Council standards) · native-plant cultural-landscape design · capacity and sustainable-maintenance planning · academic and news knowledge base (Semantic Scholar, ArXiv, RSS feeds)
Coverage llm-inferred
Global per catalogue region; cited data sources are mostly US agencies (FEMA, USDA NRCS, USGS, EPA) plus generic national environmental agency guidance
Update frequency docs-verified
Knowledge base: weekly academic crawl and daily news crawl; no update interval stated for the live authoritative data sources
Formats llm-inferred
Markdown (Claude Code skill files) · Python 3.11+ scripts
Access docs-verified
Free and open source under MIT licence; local install (pip or Claude Code skill directory); no authentication listed in catalogue entry

Useful for

Use cases llm-inferred
Groundwater risk screening for a proposed burial site near a drinking-water well · Site-suitability scoring for a green burial ground on former pasture using soil type and water table depth · Burial capacity and sustainable-maintenance planning for an annual interment rate · Native-plant landscape design and green-burial criteria checks for a cemetery masterplan
Audience llm-inferred
Cemetery and burial-ground planners · Hydrogeologists · Environmental consultants · Landscape architects · Ecologists · Civils and drainage engineers assessing groundwater risk

Limitations

Constraints llm-inferred
Cited authoritative sources (FEMA, USDA NRCS, USGS, EPA) are US-focused; UK sources such as the Environment Agency or BGS are not mentioned, so UK use needs local data inputs · Live data retrieval and knowledge-base crawls need network access; an offline mode skips them · Requires Claude Code and Python 3.11+ to run · Academic integration depends on third-party APIs (Semantic Scholar, ArXiv) and RSS feeds that may change · Outputs are advisory and risk-disclosed; they are not a substitute for a regulated site investigation or permit assessment · Version 1.1.0 with single-maintainer repository, so ongoing maintenance is not guaranteed
Licence
MIT
Authentication
Unknown — review source docs
GitHub stars
5
Last commit
29/07/2026
Last successful page check
14/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

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

Provenance & evidence

Daily discovery 2026-10-15: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 16/10/2026 · daily-2026-10-15 (github-search)