Agent skill

olmoearth-mlx

OlmoEarth MLX: Spatio-Temporal Earth Intelligence

majiayu000534★ · 1 repos on radarGitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill olmoearth-mlx-plurigrid-asi-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 14 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/ai-ml/olmoearth-mlx-plurigrid-asi-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# OlmoEarth MLX: Spatio-Temporal Earth Intelligence **Trit**: +1 (PLUS - world creation via planetary observation) **Foundation**: AI2 OlmoEarth + Apple MLX + GeoACSet + Dune.xyz Geographic WEV ## Overview OlmoEarth is AI2's open spatio-temporal foundation model for planetary intelligence, trained on: - Sentinel-2 L2A (12 bands, 10-60m resolution) - Sentinel-1 SAR (VV, VH polarization) - Landsat (historical continuity) - WorldCover (11 land cover classes) - OpenStreetMap raster - SRTM elevation - WRI Canopy Height Map This skill enables: 1. **Geographic embedding** of crypto wallet activity from Dune.xyz 2. **Impact area identification** for Protocol Labs infrastructure 3. **GeoACSet materialization** for categorical spatial reasoning ## Architecture ``` ┌─────────────────────────────────────────────────────────────────────────┐ │ OLMOEARTH-MLX PIPELINE │ ├─────────────────────────────────────────────────────────────────────────┤ │ │ │ Dune.xyz Query ─┬─► IP Geolocation ─┬─► OlmoEarth Embedding │ │ │ │ │ │ Wallet Activity ┘ Region Bounds ─┘ FlexiVit Encoder │ │ │ │ │ ▼ │ │ ┌───────────────────────────────────┐ │ │ │ GeoACSet Materialization │ │ │ │ Regions → Districts → Parcels │ │

What's inside
Steps it walks through
  1. Overview
  2. Architecture
  3. OlmoEarth Model Specs
  4. Supported Modalities
  5. MLX Inference
  6. Dune.xyz Geographic Mapping
  7. Trackable Interactions
  8. SQL Queries (Dune)
  9. GeoACSet Materialization
  10. Impact Area Identification
  11. Protocol Labs Infrastructure Zones
  12. GF(3) Geographic Classification
  13. Tenderloin Integration
  14. Usage
Ships with 1 file
  • metadata.json
Commands it runs
Install OlmoEarth
pip install olmoearth-pretrain
Run geographic WEV extraction
python -c "
from olmoearth_mlx import OlmoEarthMLX
from tenderloin.fund_wallets import WalletFundingEngine
Load model
model = OlmoEarthMLX.load('olmoearth-base')
Query Dune for geographic data
geo_wev = model.extract_geographic_wev(
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About this skill
What does the olmoearth-mlx skill do?

OlmoEarth MLX: Spatio-Temporal Earth Intelligence

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill olmoearth-mlx-plurigrid-asi-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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