菜单
Set up the Python environment for OpenAlgo indicator analysis. Installs openalgo, plotly, dash, streamlit, yfinance, matplotlib, seaborn, and creates the project folder structure.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/marketcalls/openalgo-indicator-skills --skill indicator-setup命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | indicator-setup |
| description | Set up the Python environment for OpenAlgo indicator analysis. Installs openalgo, plotly, dash, streamlit, yfinance, matplotlib, seaborn, and creates the project folder structure. |
| argument-hint | [python-version] |
| allowed-tools | Bash, Read, Write, Glob, AskUserQuestion |
Set up the complete Python environment for OpenAlgo indicator analysis, charting, and dashboard development.
$0 = Python version (optional, default: python3). Examples: python3.12, python3.13Note: openalgo 2.x requires Python 3.12 or newer (3.12 / 3.13 / 3.14). Check the version before creating the venv and abort with a clear message if it is older:
python3 --version # must be 3.12+
uname -s 2>/dev/null || echo "Windows"
Map: Darwin = macOS, Linux = Linux, MINGW*/CYGWIN*/Windows = Windows.
macOS / Linux:
python3 -m venv venv
source venv/bin/activate
pip install --upgrade pip
Windows:
python -m venv venv
venv\Scripts\activate
pip install --upgrade pip
If user specified a Python version argument, use that instead of python3.
Install all required packages:
pip install openalgo yfinance plotly dash dash-bootstrap-components streamlit numpy pandas python-dotenv websocket-client httpx scipy nbformat matplotlib seaborn ipywidgets
Create only the top-level directories. Subdirectories are created on-demand by other skills.
mkdir -p charts dashboards custom_indicators scanners
5a. Ask the user for their OpenAlgo API key using AskUserQuestion:
5b. Ask for the OpenAlgo host URL:
http://127.0.0.1:50005c. Optionally ask about WebSocket URL:
5d. Write the .env file in the project root:
# OpenAlgo API Configuration
OPENALGO_API_KEY={user_provided_key or "your_openalgo_api_key_here"}
OPENALGO_HOST={user_provided_host or "http://127.0.0.1:5000"}
# WebSocket (optional - auto-derived from host if not set)
# OPENALGO_WS_URL=ws://127.0.0.1:8765
5e. Add .env to .gitignore:
grep -qxF '.env' .gitignore 2>/dev/null || echo '.env' >> .gitignore
python -c "
import openalgo
from openalgo import ta
import plotly
import dash
import streamlit
import numpy as np
import pandas as pd
import yfinance as yf
import matplotlib
import seaborn
import nbformat
from dotenv import load_dotenv
print('All packages installed successfully')
print(f' openalgo: {openalgo.__version__}')
print(f' plotly: {plotly.__version__}')
print(f' dash: {dash.__version__}')
print(f' streamlit: {streamlit.__version__}')
print(f' numpy: {np.__version__}')
print(f' pandas: {pd.__version__}')
print(f' matplotlib: {matplotlib.__version__}')
print(f' seaborn: {seaborn.__version__}')
# Quick indicator test
close = np.array([100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 104.0, 103.0, 102.0, 101.0])
ema = ta.ema(close, 3)
rsi = ta.rsi(close, 5)
print(f' ta.ema test: {ema[-1]:.2f}')
print(f' ta.rsi test: {rsi[-1]:.2f}')
print('Indicator library ready')
"
Print a summary showing:
.env file status/indicator-chart, /custom-indicator, /indicator-dashboard, /indicator-scanner, /live-feed.env files — they contain API keyspython-dotenv is used by all scripts to load .env via find_dotenv()