Zaraat Dost · GIS
claudeSpatial database study and management, dashboards, layer publishing — Python or .NET
7 skills · 3 agents
End-to-end cadastral and land-use pipeline: boundary inference, spectral features, classification, sub-parcelling, SAM2
Plugin zd-models from marketplace zaraatdost in Adilmunawar/ZD-claude-plugin. Commands read from the repo's manifest — 1 month ago.
boundary-inferenceChunked low-RAM boundary model inference over an AOI from XYZ tiles: tile cache, patch scan, Hanning blending, hysteresis, merged COG.
landuse-classifyTrain or run the XGBoost land-use classifier: classes, T-minus alignment, model bundle, unified parcel/sub-parcel inference, predictions.gpkg.
sam2-boundariesZero-shot field boundaries with SAM2: tiled inference, seam stitching, cleanup, GeoJSON, alignment.
script-to-packageTurn a constants-at-top pipeline script into a configured, resumable, tested CLI.
spectral-featuresPer-parcel Sentinel-1/2 feature matrix from Earth Engine: 15-day composites, band and index set, chunked reduceRegions, batch parquet, resume.
sub-parcellingSplit large or irregular parcels into analysis units before feature extraction.
pipeline-engineerRuns, debugs and extends the cadastral and land-use pipeline: tile fetch, boundary inference, vectorisation, road subtraction, Earth Engine features, classification, sub-parcelling, SAM2. Knows stage order, layout and failure modes.
Spatial database study and management, dashboards, layer publishing — Python or .NET
7 skills · 3 agents
.NET dashboard/API conventions: feature slices, proc-backed data, migration-free schema changes with rollbacks, WinSW deployment, legacy parity
7 skills · 2 agents
Complete toolkit; installs every module below
7 skills · hooks
Next.js + Firebase + Earth Engine dashboard conventions: cadastral schema, GEE API routes, Pyodide workers, inference backend
7 skills · 1 agent
Code review standards, conventional commits, PR descriptions, changelog generation, architecture decision records, tech-debt audits
6 skills · 1 agent
Guardrails (Node hooks), secrets audit, stack detection, onboarding, handoff, output style
4 skills · 1 agent · hooks
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations
24 skills · 1 command · 1 agent · hooks
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
Install the "Architecture & Domain Modeling" workflow plugin from Agentic Awesome Skills.
13 skills
Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.
37 skills · 2 commands · hooks
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
1 skill · hooks
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