技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: flask

英文目录

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
信任
分类: data-analysis审计

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
信任
分类: ml-automation审计

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
信任
分类: development审计

Flask-Mail adds SMTP mail sending to your Flask applications

643
Stars
71/100
信任
分类: productivity-automation审计

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

372
Stars
70/100
信任
分类: finance审计

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

1.3K
Stars
67/100
信任
分类: commerce-automation审计

Simple Python & Flask web-calendar

229
Stars
69/100
信任
分类: productivity-automation审计

🏥 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
信任
分类: web3-analytics审计

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

10
Stars
66/100
信任
分类: utility审计

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
信任
分类: finance审计