Use Case
Beta TA Signal Engine is a powerful AI agent skill that extends your assistant with new capabilities. Generate technical-analysis trade setups from OHLCV CSV using SMA/EMA/RSI/MACD/ATR with clear entry, stop, target, and position size. This guide walks you through installing Beta TA Signal Engine, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Beta TA Signal Engine: npx clawhub@latest --dir ~/.claude/skills install beta-ta-signal-engine
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to data & analytics to trigger Beta TA Signal Engine
Review the output and refine your prompt for better results
Combine Beta TA Signal Engine with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Beta TA Signal Engine
Help me get started with Beta TA Signal Engine
What can Beta TA Signal Engine do for my data & analytics workflow?
Show me an example of using Beta TA Signal Engine
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install beta-ta-signal-engineOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install beta-ta-signal-engineβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/beta-ta-signal-engine/π‘Extract and place the folder at the path above, then restart your agent.