astronomy-physics
32.1K
ai-studio-image
Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
sickn33
research
目前分類
Physics
1227 個技能
榜單規模
20
每個分類顯示前 20 筆
所屬領域
Research
63 已收錄分類
前三焦點
Physics
Astronomy and physical simulations.
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#1
#2
astronomy-physics
32.1K
performance-engineer
Expert performance engineer specializing in modern observability,
sickn33
research
#3
astronomy-physics
32.1K
database-migrations-migration-observability
Migration monitoring, CDC, and observability infrastructure
sickn33
research
完整榜單
Physics
榜單依目前分類內的 GitHub Star 數排序。
1227 個技能星標
05
astronomy-physics
computer-vision-expert
SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.
sickn33
research
06
astronomy-physics
cosmosdb-datamodeling
Step-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" file
github
research
07
astronomy-physics
weather-skill
A skill that provides weather information based on reference data.
google
research
08
astronomy-physics
weather-skill
A skill that provides weather information based on reference data.
google
research
09
astronomy-physics
omero-integration
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
K-Dense-AI
research
10
astronomy-physics
geomaster
Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, cloud-native workflows (STAC, COG, Planetary Computer), and 8 programming languages (Python, R, Julia, JavaScript, C++, Java, Go, Rust) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.
K-Dense-AI
research
11
astronomy-physics
geopandas
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
K-Dense-AI
research
12
astronomy-physics
astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
K-Dense-AI
research
13
astronomy-physics
astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
davila7
research
14
astronomy-physics
cv-classification
Best practices for image classification tasks. Use when working on CIFAR, ImageNet, or other classification benchmarks.
aiming-lab
research
15
16
astronomy-physics
astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
K-Dense-AI
research
17
astronomy-physics
analyzing-slack-space-and-file-system-artifacts
Examine file system slack space, MFT entries, USN journal, and alternate data streams to recover hidden data and reconstruct file activity on NTFS volumes.
mukul975
research
18
astronomy-physics
weather-plus
获取全球城市天气信息和预报。使用场景包括查询当前天气、未来7天预报、空气质量、穿衣建议等。适用于用户问天气、温度、预报等。
openclaw
research
19
astronomy-physics
pipeworx-gbif
Global biodiversity data — search species, retrieve taxonomy, and find georeferenced occurrence records via GBIF
openclaw
research
20
astronomy-physics
solar-weather
Monitor solar weather conditions including geomagnetic storms, solar flares, aurora forecasts, and solar wind data. Uses NOAA Space Weather Prediction Center real-time data.
openclaw
research