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: flask

영문 디렉토리

Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/

5.0K
Stars
80/100
신뢰
카테고리: data-analysis감사

Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.

2.5K
Stars
80/100
신뢰
카테고리: ml-automation감사

AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangChain, featuring one-click Docker deployment.

818
Stars
67/100
신뢰
카테고리: development감사

Flask-Mail adds SMTP mail sending to your Flask applications

643
Stars
71/100
신뢰
카테고리: productivity-automation감사

Projects and e-book for our course, REST APIs with Flask and Python

1.5K
Stars
69/100
신뢰
카테고리: education감사

Binance and Deribit BTC cross-exchange arbitrage bot with Redis state recovery, Telegram alerts, and a Flask monitoring dashboard.

372
Stars
70/100
신뢰
카테고리: finance감사

An automated price tracker that uses bright data, playwright, react and flask.

1.3K
Stars
67/100
신뢰
카테고리: commerce-automation감사

Simple Python & Flask web-calendar

229
Stars
69/100
신뢰
카테고리: productivity-automation감사

🏥 AI-powered healthcare web app | Symptom detection · Nearest doctor search · Blockchain medical records · X-Ray diagnosis · Face ID auth | Built with React, Node.js, Python, Flask, MongoDB & Ethereum smart contracts | MERN Stack · Machine Learning

147
Stars
69/100
신뢰
카테고리: web3-analytics감사

Codex skill: directly write a dedicated editable cover into Jianying Pro 5.9 drafts without changing the main timeline.

10
Stars
66/100
신뢰
카테고리: utility감사

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

890
Stars
63/100
신뢰
카테고리: finance감사