alpaca-trading

Generates safe, additive designs for Alpaca trading-applied projects with Tank and Spill integration.

14|2|Updated Apr 24, 2026
One-click install
npx skills add https://github.com/mickpletcher/AI-Skills --skill alpaca-trading-mickpletcher
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alpaca-trading
Source: https://github.com/mickpletcher/AI-Skills/tree/main/claude/skills/alpaca-trading
Command: npx skills add https://github.com/mickpletcher/AI-Skills --skill alpaca-trading-mickpletcher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you extend and debug an Alpaca-connected Trading repository without accidentally increasing live-trading risk or breaking existing repo patterns.

Core Features & Use Cases

  • Safe paper-first workflow: Defaults to paper trading and keeps live trading explicitly opt-in with a confirmation gate.
  • Repo-structure-aware changes: Guides edits within the Trading repo’s actual folders (Alpaca, Backtesting, Journal, Scheduler, src, Tests, rsi_macd_bot, btc-signal-executor).
  • Advisory AI with deterministic execution: Ensures AI analysis is treated as guidance and that code, risk checks, and order-placement logic remain deterministic.

Quick Start

Tell me what Trading folder you want to change and whether you want paper trading or live trading (and only proceed with live if I explicitly confirm), then ask for the safest additive implementation.

Frequently Asked Questions about alpaca-trading

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I safely add Alpaca trading scripts to a PowerShell repository without breaking existing logic?

To safely add Alpaca trading scripts, guide edits within your repository's existing folders while preserving current trading logic and defaulting to paper-trading-safe behavior to prevent unintended live-trading risk.

Can I use AI advisory guidance for backtesting and journaling without risking live order execution?

Yes, AI advisory guidance for backtesting and journaling keeps order-placement logic deterministic, ensuring AI analysis is treated strictly as guidance while code and risk checks execute reliably.

What's the best way to enforce paper trading defaults when developing an Alpaca trading bot?

The best way to enforce paper trading defaults is by implementing explicit live-trading guardrails that require an opt-in confirmation gate before any live order placement is permitted.

Does this approach support repo automation for scheduled market workflows and trade journaling?

Yes, this approach supports repo automation by guiding safe development across backtesting, journaling, scheduling, and reusable PowerShell module work for automated market workflows.

How do I keep API secrets out of code when automating Alpaca paper trading workflows?

Keep secrets out of code by enforcing advisory-only AI guidance and deterministic execution patterns that separate sensitive credentials from your Alpaca trading scripts and PowerShell modules.

When should I use explicit live-trading guardrails in an Alpaca trading repository?

Use explicit live-trading guardrails whenever extending or debugging an Alpaca-connected repository to ensure live trading remains strictly opt-in and existing risk checks are preserved.