Listen to live trading signals from SignalNGN using `sn signals`. Use this skill when acting as a trading bot to subscribe to the signal stream, parse signal payloads, filter by confidence or action, and decide when to trade.
Quickly install signals AI skill to your development environment via command line
Source: spot-canvas/sn.
sn signals subscribes to the live NATS signal stream and prints one JSON object per signal to stdout. This is the primary input loop for a trading bot agent.
No NATS credentials setup is needed — sn signals uses embedded read-only credentials by default.
Granularity values: ONEMINUTE, FIVEMINUTES, FIFTEENMINUTES, THIRTYMINUTES, ONEHOUR, TWOHOURS, SIXHOURS, ONEDAY
Listen to live trading signals from SignalNGN using `sn signals`. Use this skill when acting as a trading bot to subscribe to the signal stream, parse signal payloads, filter by confidence or action, and decide when to trade. Source: spot-canvas/sn.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/spot-canvas/sn --skill signalsListen to live trading signals from SignalNGN using `sn signals`. Use this skill when acting as a trading bot to subscribe to the signal stream, parse signal payloads, filter by confidence or action, and decide when to trade. Source: spot-canvas/sn.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/spot-canvas/sn --skill signals Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/spot-canvas/sn