Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: weather-radars

영문 디렉토리

Beautiful, hand-crafted animated weather icons that feel alive.

1.6K
Stars
76/100
신뢰
카테고리: design-creative감사

Personal Assistant built using python libraries. It does almost anything which includes sending emails, Optical Text Recognition, Dynamic News Reporting at any time with API integration, Todo list generator, Opens any website with just a voice command, Plays Music, Wikipedia searching, Dictionary with Intelligent Sensing i.e. auto spell checking, Weather Reporting i.e. temp, wind speed, humidity, YouTube searching, Google Map searching, Youtube Downloading, etc.

1.3K
Stars
73/100
신뢰
카테고리: media-automation감사

The Python-ARM Radar Toolkit. A data model driven interactive toolkit for working with weather radar data.

595
Stars
70/100
신뢰
카테고리: data-analysis감사

☁️ ❄️ A KMP weather app built with Jetpack Compose , MVI , Unit Testing , Hilt and Location Services, Github Actions, Firebase + Material 3

188
Stars
70/100
신뢰
카테고리: design-creative감사

Bresser 5-in-1/6-in-1/7-in-1 868 MHz Weather Sensor Radio Receiver for Arduino based on CC1101, SX1276/RFM95W, SX1262 or LR1121

179
Stars
70/100
신뢰
카테고리: robotics-iot감사

Multi-platform prediction market trading bot: trades weather temperature markets on Kalshi (KXHIGH series) and Polymarket using 31-member GFS ensemble forecasts + BTC 5-min microstructure signals. Kelly criterion sizing, signal calibration, React dashboard. (Highest profits $1.8k)

441
Stars
66/100
신뢰
카테고리: finance감사

Generate automated daily progress reports from site data. Track work completed, labor hours, equipment usage, and weather conditions.

282
Stars
64/100
신뢰
카테고리: design-creative감사

Analyze labor productivity from site data. Compare planned vs actual, identify trends, benchmark against industry standards.

282
Stars
63/100
신뢰
카테고리: data-analysis감사

QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀

185
Stars
62/100
신뢰
카테고리: geo-science감사

Rain Rendering for Evaluating and Improving Robustness to Bad Weather (Tremblay et al., 2020) (S. S. Halder et al., 2019)

170
Stars
61/100
신뢰
카테고리: robotics-iot감사

Use when building AI agents with agentfootprint — LLMCall, Agent, skills, RAG, memory, control flow, Swarm concepts, mock/anthropic/openai/ollama providers, tools, recorders, resilience, and streaming. Also use when someone asks how agentfootprint works or wants to understand the framework.

20
Stars
61/100
신뢰
카테고리: design-creative감사