ai-studio-image
Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
Migration monitoring, CDC, and observability infrastructure
Build geospatial applications with Shiny.Spatial - a dependency-free, AOT-compatible .NET spatial database using SQLite R*Tree indexing with custom C# geometry algorithms for two-pass spatial queries
Analyze spatial variability of NOAA Atlas 14 precipitation frequency estimates within HEC-RAS model domains using intelligent extent-based downloading. Helps determine whether uniform rainfall assumptions are appropriate for rain-on-grid modeling by calculating min/max/mean/range statistics within 2D flow areas or project extents. Uses NOAA CONUS NetCDF with HTTP byte-range requests for 99.9% data reduction compared to traditional state-level ZIP downloads. Primary sources: - ras_commander/precip/CLAUDE.md (lines 118-629) - Complete workflows - ras_commander/precip/Atlas14Grid.py - API reference - ras_commander/precip/Atlas14Variance.py - Variance analysis API - examples/725_atlas14_spatial_variance.ipynb - Working demonstration
Retrieves and processes AORC precipitation data for HEC-RAS/HMS models. Handles spatial averaging over watersheds, temporal aggregation, DSS export, and Atlas 14 design storms. Use when working with historical precipitation, AORC data, calibration workflows, design storm generation, rainfall analysis, SCS Type II distributions, AEP events, 100-year storms, or generating precipitation boundary conditions for rain-on-grid models. Triggers: precipitation, AORC, Atlas 14, design storm, rainfall, SCS Type II, AEP, 100-year, rain-on-grid, hyetograph, temporal distribution, areal reduction, calibration, historical precipitation.
Koopman operator theory for infinite-dimensional linear lifting of nonlinear dynamics. Generates dynamics from observables.
Generate comprehensive @Preview functions for Jetpack Compose composables. Analyzes component parameters, states, and dependencies to create previews covering all visual states, edge cases, and configurations.
Plan-scoped artifact storage for assessments and findings with JSONL persistence
∞-Operads for pairwise/tritwise Cat# interactions with lazy ACSet materialization unifying effective, realizability, and Grothendieck topoi via dendroidal Segal spaces.
Expert in Gravito Satellite modules. Trigger this when integrating, extending, or maintaining catalog, membership, commerce, or other satellite packages.
Signal detrending for baseline correction and trend removal
Meteorologist providing weather data via Open-Meteo API (FREE).
Ground station subproject context. Use when working in the ground_station package, telemetry reception, mission control interface, or real-time flight monitoring.
Width-based responsive image patterns for Astro. Local processing, AVIF/WebP/JPG, face-focus, OG generation. Includes Picture and FixedImage components.
Progress reporting for universe selection phases. Trigger when: (1) selection appears to stall/hang, (2) no output after data fetching, (3) need visibility into hard filter or scoring phases.
KINTSUGI deconvolution: True lightsheet PSF calculation to fix horizontal banding artifacts. Trigger: deconvolution artifacts, horizontal banding, PSF issues, fcyl, slitwidth, lightsheet, LsDeconv.
SNAKE vs RASTER tile acquisition patterns for image stitching in KINTSUGI
KINTSUGI deconvolution: Output scaling must preserve original intensity relationships for quantitative analysis. Trigger: deconvolution saturates at 65535, channel intensity ratios inverted, hist_clip scaling issues.
Parallel processing for universe selection with 3-4x speedup. Trigger when: (1) selection takes too long, (2) 'No data returned' warnings for cached symbols, (3) need to process 100+ candidates.