天文学 & 物理学

天文データ処理、天体力学、宇宙論計算向けエージェントスキルを閲覧。

≥48件の結果

Hermesデータインポート、マッピング、変換、およびデータインテグリティ検証。

NousResearch/hermes-agent

Zero-shot image classification and image-text search.

huggingface-hub

NousResearch/hermes-agent

HuggingFace hf CLI: search/download/upload models, datasets.

track-earthquakes

koala73/worldmonitor

Retrieve recent earthquakes (USGS) with magnitude, depth, location, and a concern score that flags proximity to nuclear test sites. Use when the user asks about recent seismic activity or whether an earthquake was natural.

track-military-flights

koala73/worldmonitor

Retrieve tracked military aircraft positions (OpenSky + Wingbits) with callsign, type, operator, altitude, and activity clusters, filterable by bounding box, operator, and aircraft type. Use when the user asks about military air activity in a region.

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.

Yeachan-Heo/oh-my-claudecode

Process-first advisor routing for Claude, Codex, Gemini, Antigravity, Grok, or Cursor via `omc ask`, with artifact capture and no raw CLI assembly

Yeachan-Heo/oh-my-claudecode

Claude-Codex-Gemini tri-model orchestration via /ask codex + /ask antigravity (or gemini), then Claude synthesizes results

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

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.

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.

K-Dense-AI/scientific-agent-skills

Guidance and local audit tools for Python workflows that directly use GeoPandas GeoSeries, GeoDataFrame, spatial operations, or vector-data I/O.

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

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.

davila7/claude-code-templates

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/claude-code-templates

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.

omero-integration

davila7/claude-code-templates

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

google/adk-python

A skill that provides weather information based on reference data.

google/adk-python

A skill that provides weather information based on reference data.

apertureoscillation

danielmiessler/LifeOS

3-pass scope oscillation that holds a question constant while shifting zoom — narrow/tactical, wide/strategic, then synthesis — to surface design tensions, scope recommendations, and coherence assessments invisible at any single zoom level. USE WHEN aperture oscillation, oscillate scope, zoom in and out, tactical vs strategic, scope framing, design tension, system coherence check, local vs global design, wrong scope, scope negotiation. NOT FOR lens rotation across angles (use IterativeDepth).

itwanger/toBeBetterJavaer

知识星球用户信息与反馈：查看当前登录用户的个人资料、查询跨星球的最近发主题足迹、提交 NPS 反馈（推荐分数 + 建议）。当用户需要查看自己的用户 ID、昵称、头像、认证状态，查看自己最近在各星球发过的主题，或向知识星球官方提交 NPS 评分/产品建议时使用。

cv-classification

aiming-lab/AutoResearchClaw

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

huggingface/skills

Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.

github-star-velocity

Tracer-Cloud/opensre

Compute GitHub repository star velocity over a rolling time window using the stargazers API.

data-processing

nix-community/home-manager

Process and transform structured data files.

deck-graphify-dark

nexu-io/html-anything

深夜渐变 + 漂浮 orbs + SVG 力导向图谱 + JetBrains Mono

korean-holiday-calendar

NomaDamas/k-skill

한국천문연구원 특일 정보 API를 k-skill-proxy 경유로 호출해 공휴일·국경일·기념일·24절기·잡절을 조회한다. 조회 전용.

pandas-data-analysis

midudev/autoskills

Master data manipulation, analysis, and visualization with Pandas, NumPy, and Matplotlib

netease-youdao/LobsterAI

Search cloud drives for downloadable film and TV resources (movies, TV series, anime). Use this skill when the user wants to download a specific movie or TV show. Do NOT use for general movie information, schedules, reviews, or recommendations.

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

effector/effector

Skill for using Astro projects. Includes CLI commands, project structure, core config options, and adapters. Use this skill when the user needs to work with Astro or when the user mentions Astro.

globe-particles

Create a globe-like 3D particle visualization with a dense luminous spherical core and thinner orbital ring or flattened disc. Use when a design needs a premium planetary, orbital, synthesized data-globe effect rendered with real WebGL/Three.js particles, not generic starfields or full page layout changes.

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.

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.

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

skill-intent-contract

nyldn/claude-octopus

Use when starting a complex or ambiguous task that risks scope drift

skill-intent-contract

nyldn/claude-octopus

Use when starting a complex or ambiguous task that risks scope drift

parcadei/Continuous-Claude-v3

Problem-solving strategies for hilbert spaces in functional analysis

shapely-compute

parcadei/Continuous-Claude-v3

Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates

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.

erigontech/erigon

Reference for manipulating Erigon datadirs. Use this when the user wants to perform operations on Erigon data directories.

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

brycewang-stanford/Auto-Empirical-Research-Skills

Spatial data: GeoDataFrames, spatial joins, CRS/projections, choropleth/interactive maps, spatial autocorrelation, PySAL. Use for geographic data, spatial files (Shapefile, GeoPackage, GeoParquet), or spatial stats. For charts without GIS use plotly.

geospatial-viz-guide

brycewang-stanford/Auto-Empirical-Research-Skills

Create maps, choropleths, and spatial data visualizations for research

spectroscopy-analysis-guide

brycewang-stanford/Auto-Empirical-Research-Skills

Spectral data analysis for NMR, IR, mass spectrometry, and UV-Vis

gaussian-splatting-papers-guide

brycewang-stanford/Auto-Empirical-Research-Skills

Curated papers and resources for 3D Gaussian Splatting