Leaderboard/Finance/skills
Last commit on September 13, 2026·Created on April 6, 2026

AlphaGBM/skills

Real-data options intelligence for quantitative analysis and AI agents
Combined rank
#135
across all skills
In Finance
#3
category rank
Stars
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+26.3% in last 7d
Forks
296
+5.0% in last 7d
Watchers
132
+6.5% in last 7d
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TL;DR

This collection provides a suite of financial intelligence tools designed for quantitative traders and AI agents. It focuses on the precise calculation and interpretation of options Greeks and earnings-related volatility panels.

By integrating these specialized skills into development environments like Claude Code or Cursor, users can automate the analysis of complex derivatives metrics and structure financial data for more accurate decision-making.

WHO IT'S FOR
Quantitative traders
analyzing options Greeks and IV rank
AI agent builders
integrating financial intelligence into AI agents
Portfolio managers
performing hedge analysis and backtesting
Equity research analysts
conducting company profiles and investment thesis analysis
Repository contents

31 skill files

Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.

Use this skill collection

Follow the documented setup, then try a first task.

I’m using

Claude Code project clone

Installs: Complete AlphaGBM Skills bundle (29 open skills); skillPaths is a bounded selection of positively supported paths, not the complete bundle inventory. · Claude Code

Before you start
  • For live alphagbm-vix-status requests, an ALPHAGBM_API_KEY is required and must be sent as Authorization: Bearer $ALPHAGBM_API_KEY.
  • For live alphagbm-marks-cycle requests, an API key or supported user token is required.
  • No API key is needed when explicitly using supported bundled samples.

Run from: Project root

  1. In a terminal, from the project root, clone the complete repository into the documented Claude Code skills directory.

    git clone https://github.com/AlphaGBM/skills.git .claude/skills/alphagbm

Give it something to do.

Suggested first task

Compare two stocks with bundled sample data

Uses alphagbm-compare

  • Ticker symbols: AAPL and MSFT
  • Bundled sample: mock-data/compare/aapl-vs-msft.json
Use the alphagbm-compare skill and the bundled mock data to compare AAPL vs MSFT. Show the side-by-side dimensions, identify each category winner, and briefly explain the key differentiator behind the overall ranking.
skills/alphagbm-compare/SKILL.md · Checked Sep 18, 2026
Suggested first task

Interpret a sample market-sentiment dashboard

Uses alphagbm-market-sentiment

  • Bundled sample: mock-data/market-sentiment/sentiment-dashboard.json
Use the alphagbm-market-sentiment skill with the bundled sentiment-dashboard sample. Give me a concise dashboard covering VIX, put/call ratio, Fear & Greed, breadth, sector rotation, and the resulting risk-on, risk-off, or neutral regime classification.
Suggested first task

Summarize the newest published US insight

Uses alphagbm-research-insights

  • Market filter: us
  • Language: en
  • Limit: 5
  • No API key is required for published articles
Use the alphagbm-research-insights skill to list up to five latest published US-market insights in English, open the newest result using its returned slug, and provide a short neutral summary with its publication time, main evidence or assumptions, uncertainties, and original article URL. If there are no matching results, say so without substituting another market.