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천문학 & 물리학

천문 데이터 처리, 천체 역학, 우주론적 계산을 위한 에이전트 스킬을 탐색하세요.

vector-hyperbolic

Embed hierarchical data via npx ruvector@0.2.25 embed text and project into the Poincare ball in user code (no --model poincare flag in 0.2.25)

cli-anything-3mf

HKUDS/CLI-Anything

3MF mesh geometry editor — detect and resize cylindrical holes, repair meshes, compare 3D printing files. Works with BambuStudio and PrusaSlicer 3MF files.

cli-anything-threemf

HKUDS/CLI-Anything

3MF mesh geometry editor — detect and resize cylindrical holes, repair meshes, compare 3D printing files. Works with BambuStudio and PrusaSlicer 3MF files.

ai-studio-image

sickn33/antigravity-awesome-skills

Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.

computer-vision-expert

sickn33/antigravity-awesome-skills

SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.

performance-engineer

sickn33/antigravity-awesome-skills

Expert performance engineer specializing in modern observability,

database-migrations-migration-observability

sickn33/antigravity-awesome-skills

Migration monitoring, CDC, and observability infrastructure

sickn33/antigravity-awesome-skills

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

cosmosdb-datamodeling

github/awesome-copilot

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

K-Dense-AI/scientific-agent-skills

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.

omero-integration

K-Dense-AI/scientific-agent-skills

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/scientific-agent-skills

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

hugging-science

K-Dense-AI/scientific-agent-skills

Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, theorem proving, single-cell, or PDE solving. Hugging Science is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces. This skill helps discover and use resources via `datasets`, `transformers`, the HF Inference API, `gradio_client`, and methodology citations.

K-Dense-AI/scientific-agent-skills

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/scientific-agent-skills

Use when you need exact symbolic math in Python — algebra, calculus, equation solving, symbolic linear algebra, or code generation via lambdify/LaTeX. Prefer NumPy or SciPy when floating-point approximations are sufficient.

analyzing-slack-space-and-file-system-artifacts

mukul975/Anthropic-Cybersecurity-Skills

Examine file system slack space, MFT entries, USN journal, and alternate data streams to recover hidden data and reconstruct file activity on NTFS volumes.

cv-classification

aiming-lab/AutoResearchClaw

Best practices for image classification tasks. Use when working on CIFAR, ImageNet, or other classification benchmarks.

data-processing

nix-community/home-manager

Process and transform structured data files.

XBuilderLAB/cheat-on-content

T+N 天数据回收 + 复盘 + 把实绩观察写入 rubric-memo.md。这是校准循环的反馈环节——不复盘的预测等于占星。触发词："复盘 [path]"/"retro this"/"T+3d 数据来了"/"抓数据 [path]"/"把这篇复盘了"。

Write concise Diataxis docs for gh-aw with Starlight markdown conventions.

NVIDIA/GenerativeAIExamples

Read and analyze simulation binary output files. Use when extracting summary data, grid properties, or running flow diagnostics (time-of-flight, tracer, allocation, F-Phi, Lorenz) from completed simulations.

基于 WebGL 的大规模地理空间数据可视化引擎。适用于： (1) 创建交互式 WebGL 地图应用 (2) 可视化地理空间数据（点、线、面、热力图） (3) 构建位置数据驾驶舱 (4) 添加地图图层、交互和动画效果 (5) 处理并展示 GeoJSON、CSV 等空间数据

cli-anything-samgeo

opengeos/segment-geospatial

CLI harness for segment-geospatial — segment satellite/aerial imagery with SAM models from the command line

muapi-drone-style-video

SamurAIGPT/Generative-Media-Skills

Generate aerial drone-perspective footage — sweeping bird's-eye views, orbit shots, and flyover sequences for landscapes, architecture, and events.

spatial-reasoning

isaac-sim/IsaacSim

3D spatial reasoning for USD scene composition. Coordinate math, metersPerUnit conversion, bounding-box analysis, placement transforms (T*R*S ordering), look-at, collision-free grid layouts, zone boundaries, quaternion rotation, spatial indexing (R-tree/grid), SAT/GJK, A* + smoothing, Dubins, 2D bin packing, frustum culling, coordinate system conversions (USD/Unity/Unreal), warehouse standards (OSHA/NFPA/RMI), ABC analysis, numerical stability.

regenerating-a-technical-summary-of-stellar-core

stellar/stellar-core

Instructions for regenerating the full set of subsystem and whole-system technical summary skill documents for stellar-core

microsoft/debugpy

Best practices for numerical computing with NumPy including arrays, broadcasting, and vectorization.

foryourhealth111-pixel/Vibe-Skills

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, and 7 programming languages (Python, R, Julia, JavaScript, C++, Java, Go) 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.

omero-integration

foryourhealth111-pixel/Vibe-Skills

Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.

foryourhealth111-pixel/Vibe-Skills

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.

foryourhealth111-pixel/Vibe-Skills

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.

calendar-calculation-method

baojie/shiji-kb

Use when calculating calendars, determining seasonal timing, or establishing the correct 正朔. Covers leap month intercalation using the 19-year Metonic cycle, solstice measurement via shadow length (晷景), and dynastic calendar differences.

LeoYeAI/openclaw-master-skills

Extract data from construction images using AI Vision. Analyze site photos, scanned documents, drawings.

sealegs-marine-forecast

LeoYeAI/openclaw-master-skills

Get AI-powered marine weather forecasts for any location worldwide

nanobanana-image-generation

LeoYeAI/openclaw-master-skills

Use when the user wants to generate or edit images with Google's Nanobanana/Gemini image models using the official Gemini API shape, or when they need publication-style scientific figures rendered exactly from data with the bundled Python plotting tool. Prefer this skill for text-to-image, image-to-image editing, multi-image reference workflows, attachment-based recreations, exact bar/trend/heatmap/scatter plots, or when the user wants publication-style figures such as materials-science paper schematics. Use it when the user asks for a materials-science figure, journal-style scientific illustration, graphical abstract, mechanism diagram, device architecture, processing workflow, or paper-ready materials figure.

design-postgis-tables

timescale/pg-aiguide

Comprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applications

skymap-add-object

sky-map-team/stardroid

Add a new deep-sky object or special object to Sky Map's catalog from a Wikipedia URL or user-supplied data. Handles all four required files. Trigger on "add object", "add nebula/galaxy/cluster", "add <object name> to Sky Map", etc. ARGUMENTS: "[wikipedia_url_or_object_name]"

skymap-celestial-image

sky-map-team/stardroid

Process and size an image for a Sky Map celestial info card. Prompts for an image (URL or local path), optional crop, and output filename, then converts to 480×800 WebP and saves to the correct assets directory. Trigger on "process celestial image", "add image for info card", "convert image for Sky Map", etc. ARGUMENTS: "[source_url_or_path] [category/output_name] [crop x1,y1,x2,y2]"

mvanhorn/printing-press-library

Every NASA Image and Video Library endpoint, plus a local SQLite mirror, FTS search, resumable bulk download,... Trigger phrases: `NASA images`, `NASA image library`, `images.nasa.gov`, `NASA Apollo photos`, `Mars rover images`, `NASA video captions`, `download NASA images`, `use nasa-images`, `run nasa-images`.

mvanhorn/printing-press-library

The free, single-binary PVGIS CLI — JRC solar-radiation and PV-yield estimates with offline cache, multi-site... Trigger phrases: `estimate solar production at`, `what's the optimal tilt for`, `get TMY weather for`, `PVGIS yield`, `use pvgis`.

mvanhorn/printing-press-library

Every NASA Image and Video Library endpoint, plus a local SQLite mirror, FTS search, resumable bulk download,... Trigger phrases: `NASA images`, `NASA image library`, `images.nasa.gov`, `NASA Apollo photos`, `Mars rover images`, `NASA video captions`, `download NASA images`, `use nasa-images`, `run nasa-images`.

mvanhorn/printing-press-library

The free, single-binary PVGIS CLI — JRC solar-radiation and PV-yield estimates with offline cache, multi-site... Trigger phrases: `estimate solar production at`, `what's the optimal tilt for`, `get TMY weather for`, `PVGIS yield`, `use pvgis`.

shiny-bluetoothle

Shiny BluetoothLE client/central operations for scanning, connecting, and communicating with BLE peripherals

statistical-models

skforecast/skforecast

Forecasts time series using classical statistical models (ARIMA, SARIMAX, ETS, ARAR) wrapped in ForecasterStats. Covers model selection, Auto-ARIMA, backtesting statistical models, and parameter tuning. Use when the user wants traditional statistical forecasting methods.

disk-forensics-evasion

wgpsec/AboutSecurity

磁盘取证与反磁盘取证方法论。理解蓝队如何从磁盘恢复删除文件、提取时间线、分析文件系统 artifact，以及红队如何进行反取证（安全删除、时间戳篡改、痕迹清除）。当需要规避磁盘取证或进行磁盘分析时使用

google/adk-docs

A skill to get the weather information.

geospatial-routing-data

benchflow-ai/skillsbench

Geospatial routing data handling for depot and station coordinates, route node IDs, internal index mappings, great-circle distance matrices, and route-distance reconstruction. Use when optimization or reporting tasks involve latitude/longitude, station IDs, depots, distance metrics, vehicle routes, or validating travel distance from reported paths.

hex-grid-spatial

benchflow-ai/skillsbench

Hex grid spatial utilities for offset coordinate systems. Use when working with hexagonal grids, calculating distances, finding neighbors, or spatial queries on hex maps.

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