Plugin · Claude Code · AI Agents

Jkoelker Zephyr

jkoelker-zephyr is a Claude Code plugin for the Build phase that delivers LLM-driven trading agents and MCP skills for systematic options, indicators, and Schwab-backed portfolio management.

by jkoelker · github.com/jkoelker/zephyr

Run LLM-driven options and systematic trading agents with Schwab-connected MCP skills for sizing, indicators, and portfolio risk.

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Install

Add it to Claude Code

Install the plugin in Claude Code. One command, paste-ready.

Install the plugin
/plugin install jkoelker-zephyr@jkoelker/zephyr
Add to ClaudeUse the Agent APISkillselion is itself an MCP server - your agent can fetch this config directly.
Agent API

Built to be called by your agent

Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.

Retrieve this entry with skillselion.get_details("plugin:jkoelker/zephyr") and the paste-ready config with skillselion.get_install_config("plugin:jkoelker/zephyr").

About

What it does

jkoelker-zephyr is a specialized Claude Code plugin marketplace entry for builders who automate systematic options and portfolio workflows with LLM agents. It combines trading-oriented agents with skills tuned for Codex and Claude MCP access—covering indicators, position sizing, risk management, and strategy patterns such as iron condors, 0DTE structures, and SPX-centric plays—with Schwab integration called out in the catalog keywords. Solo quant-curious founders and advanced indie operators can treat it as agent-tooling during Build, then lean on the same stack for monitoring-style Operate rituals. This is not a general productivity plugin; it assumes comfort with derivatives risk and broker APIs. Complexity is advanced due to market, compliance, and capital exposure. Register it when you are constructing or operating an agent-mediated trading system, not when you only need casual stock research without execution guardrails.

Highlights

  • Single Claude/Codex-oriented plugin bundling LLM-driven trading agents and reusable skills.
  • Systematic options toolkit including iron condor, 0DTE, and SPX-focused strategy keywords.
  • Technical indicator coverage: ATR, RSI, SMA, VIX1D, and broader technical-indicator workflows.
  • Portfolio-based position sizing, risk management, and Schwab integration for execution context.
  • Designed for MCP workflows so agents call trading tools instead of improvising finance math in chat.

Why builders use it

Builders who automate trading with agents lack a cohesive MCP skill pack for indicators, sizing, and broker-aware risk instead of fragile one-off prompts.

After install, Codex or Claude Code can invoke structured trading skills and agents for systematic strategies, risk checks, and Schwab-integrated portfolio context.

At a glance

  • Type - Plugin in AI Agents.
  • Adoption - 0 installs, 2 stars, 0 votes.

FAQ

Who is jkoelker-zephyr for?

It is for experienced builders using Claude Code or Codex who want MCP-driven trading agents focused on systematic options, indicators, and portfolio risk with Schwab integration.

When should I use jkoelker-zephyr?

Use it while building or operating an agent-mediated trading stack when you need reusable skills for sizing, technical signals, and strategy execution—not for casual market chat.

How do I add jkoelker-zephyr to my agent?

Register the Zephyr plugin repository in Claude Code or your Codex MCP setup, configure Schwab and environment credentials per the repo, then enable the bundled trading agent plugin.

Discussion

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