Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
npx @colbymchenry/codegraphA hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC. A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins
See what options are pricing in — with real data, not guesswork.
29 AI skills for options & research intelligence · Built on real market data · Trusted by 10,000+ traders
Website · Documentation · Quick Start · Contributing
git clone https://github.com/AlphaGBM/skills.git .claude/skills/alphagbm
Then ask your AI: "Analyze AAPL options using AlphaGBM" — works instantly with built-in data, no API key needed.
AlphaGBM is a real-data options & research intelligence layer for traders and AI agents. Every number comes from real market data -- IV, Greeks, VRP, skew, flow, plus a tracked research workspace -- not LLM hallucination.
These 26 skills bring AlphaGBM's capabilities into your AI workflow: Claude Code, Cursor, Windsurf, or any agent that supports skills.
| LLM Roleplay Tools | Generic Finance APIs | AlphaGBM | |
|---|---|---|---|
| Data Source | LLM-generated | Delayed/basic | Real-time options data |
| Verifiable | "85% confidence" | Partial | Every number has a source |
| Options Depth | None | Basic chain | IV/HV/VRP/Greeks/Skew/Surface |
| Scoring | Subjective | None | Quantitative scoring (0-100 options, 1-10 stocks) |
| Analysis Model | None | None | G = B + M (Gain = Basics + Momentum) |
| Battle-tested | No | Varies | 10K users, 3mo live trading |
| Coverage | US only | Varies | US + HK + CN + Commodities |
# Clone into your project
git clone https://github.com/AlphaGBM/skills.git .claude/skills/alphagbm
# Or add as submodule
git submodule add https://github.com/AlphaGBM/skills.git .claude/skills/alphagbm
git clone https://github.com/AlphaGBM/skills.git .cursor/skills/alphagbm
# Clone and install
git clone https://github.com/AlphaGBM/skills.git
cd skills/cli
pip install -e .
# Set your API key
alphagbm config set-key agbm_xxxxxxxxxxxxxxxx
# Start analyzing
alphagbm stock analyze AAPL
alphagbm options score NVDA
See cli/README.md for full CLI documentation.
All skills include built-in demo data for AAPL, NVDA, SPY, TSLA, and META. Just ask your AI:
"Analyze AAPL stock using AlphaGBM" "Score NVDA options" "Show me TSLA's volatility surface" "What's the best bullish strategy for META?"
# Set your API key for real-time data
export ALPHAGBM_API_KEY=agbm_xxxxxxxxxxxxxxxx
export ALPHAGBM_BASE_URL=https://alphagbm.zeabur.app # optional, this is the default
# Get your free key at https://alphagbm.com/api-keys
curl https://alphagbm.zeabur.app/api/health
Returns API status, available data fields, data source health, and market coverage — no auth needed. Useful for AI agents to verify what's available before making calls.
| Plan | Stock Analysis | Options Analysis | Quick Quote / Snapshot |
|---|---|---|---|
| Free | 2/day | 1/day | Unlimited |
| Plus | 1,000/month | 1,000/month | Unlimited |
| Pro | 5,000/month | 5,000/month | Unlimited |
| Skill | What It Does | Example Query |
|---|---|---|
| Stock Analysis | G=B+M model: fundamentals, momentum, EV, risk score, AI report | "Analyze AAPL" |
| Options Score | Score 0-100 across 4 strategies (Sell Put/Call, Buy Put/Call) | "Best NVDA call to buy" |
| Options Strategy | Strategy builder + scanner with 15+ templates | "Bullish play on TSLA" |
| Vol Surface | 3D implied volatility across strikes & expiries | "Is AAPL IV expensive?" |
| Vol Smile | Skew analysis for a single expiration | "NVDA put skew" |
| Greeks | Greeks calculator + implied volatility solver | "Greeks for AAPL 220C" |
| P&L Simulator | What-if analysis for any position | "Simulate my iron condor" |
| Skill | What It Does | Example Query |
|---|---|---|
| IV Rank | IV percentile vs. 252-day history | "Is TSLA IV high?" |
| Earnings IV Panel | Crush history + implied move + IV Rank tag + priced Iron Condor | "Iron Condor for META earnings" |
| Unusual Activity | Smart money / large block detection | "Unusual options flow today" |
| Market Sentiment | VIX, Put/Call, Fear & Greed dashboard | "Market sentiment now" |
| VIX Status ✨ | 5-tier fear thermometer: calm / normal / seller sweet spot / caution / extreme fear | "Is this a good time for BPS?" |
| FearScore ✨ | Per-ticker 6-indicator panic composite; ≥60 is BPS entry signal | "Fear score QQQ", "is NVDA oversold" |
| Skill | What It Does | Example Query |
|---|---|---|
| Compare | Side-by-side stock & options comparison | "AAPL vs MSFT" |
| Watchlist | Monitor tickers for key changes | "Add NVDA to watchlist" |
| Alert | Set IV, price, or activity alerts | "Alert if TSLA IV > 80" |
| Polymarket | Prediction market vs. options pricing | "Rate cut odds vs options" |
Exit, hedge, and sizing decisions quantified from real data — not opinion.
| Skill | What It Does | Example Query |
|---|---|---|
| Hedge Advisor ✨ | Scenario-driven hedge for an existing position (Falling Knife / Bottom Fishing / Gain Protection); returns priced Long Put / Collar / Tier-down specs | "Hedge my AAPL at cost 140, now 180" |
| BPS Backtest ✨ | Walk-forward backtest of Bull Put Spread with signal vs no-signal control in one call | "Backtest BPS on QQQ — does FearScore work?" |
| Take-Profit Lab ✨ | Any-ticker 15-strategy exit backtest; auto-classifies whether it's holdable or needs tiered exit via a novel "rollercoaster rate" metric | "Should I hold TQQQ long-term?" |
Mechanical translations of specific investors' philosophies into one-call tools.
| Skill | What It Does | Example Query |
|---|---|---|
| Duan-Yongping Analysis | Three-panel seller playbook (Sell Put at willing-buy price / Covered Call yield / VIX-tier panic-buy context) | "Duan-style analysis on AAPL" |
| Buffett Analysis ✨ | 4-lens scorecard (business / moat / management / valuation) → weighted HOLDABLE / WATCHABLE / AVOID verdict for any ticker | "Buffett analysis on KO" |
| Marks Cycle ✨ | Howard Marks-style cycle position 0-100 blending VIX + IV Rank + P/C + valuation; maps to offense/defense posture. Free, no auth | "Where are we in the cycle?" |
| Tepper Signal ✨ | Quantified Tepper 2009/2020 panic-buy detector: VIX ≥ 35 + FearScore ≥ 80 + quality filter → armed/watch/near/cold | "Is this a Tepper buy signal?" |
Build a personal, monitored research workspace. Profiles auto-refresh, theses get checked against triggers, the system audits itself weekly.
| Skill | What It Does | Example Query |
|---|---|---|
| Company Profile | Auto-built research files: fundamentals, PE/PB band, red flags, event radar | "Add NVDA to my knowledge base" |
| Investment Thesis | Buy reasons + structured sell triggers, monitored automatically | "Why did I buy AAPL?" |
| Macro View | Track VIX / US10Y / DXY / gold with portfolio-aware impact analysis | "Track VIX and US10Y" |
| Theme Research | Group tickers into themes (AI infra, HK dividend) + news keyword watching | "Create an AI infra theme" |
| Health Check | Weekly audit: stale profiles, thesis drift, orphan pages → 0-100 score | "Audit my research brain" |
You / Your AI Agent
| (natural language)
+------------------------------------------------------+
| AlphaGBM Skills (this repo) |
| |
| Stock Options Vol Strategy Greeks ... |
| Analysis Score Surface Builder Dashboard |
+-------------------------+-----------------------------+
|
+----------+----------+
v v
Mock Data AlphaGBM API
(built-in, free) (alphagbm.zeabur.app)
Real-time market data
IV/HV/VRP/Greeks/Skew
Skills aren't isolated -- they reference each other to form a complete workflow:
Stock Analysis --> Options Score --> Options Strategy --> P&L Simulator
| | |
v v v
Compare Vol Surface Greeks
Vol Smile
IV Rank --> Earnings Crush
Market Sentiment --> Unusual Activity --> Alert
Watchlist
Polymarket --> Market Sentiment --> Options Strategy
| Market | Stocks | Options | Data Points |
|---|---|---|---|
| US | 200+ | Full chains | IV/HV/VRP/Greeks/Skew/Surface |
| HK | 35+ | Full chains | IV/HV/VRP/Greeks |
| CN | 20+ ETFs | Full chains | IV/HV/VRP/Greeks |
| Commodities | Au/Ag/Cu/Al | Futures options | IV/Greeks/Delivery risk |
Every number in AlphaGBM is verifiable:
| Metric | Value | How It's Computed |
|---|---|---|
| IV | 32.5% | Black-Scholes on actual bid/ask prices |
| IV Rank | 58 | Current IV vs. 252 trading days of history |
| VRP | +4.0% | Implied Vol - Historical Vol — measures option overpricing |
| Option Score | 80/100 | Weighted: premium yield + support/resistance + safety margin + trend + PoP + liquidity + time decay |
| Stock Score | 7.0/10 | G = B + M — Basics (PE, PEG, growth, margins) + Momentum (VIX, technicals, flow) |
| Risk | 4/10 | Additive: valuation +2, growth +2, liquidity +2, market +1.5, technical +1 |
| EV | +5.2% | 50% × 1w + 30% × 1m + 20% × 3m expected value |
This is not "based on my training data" or "I estimate with 85% confidence."
This is math on market data.
You: "Analyze AAPL, then find the best options play"
The agent chains skills automatically:
1. GET /api/stock/quick-quote/AAPL → $261.40 (-0.8%)
2. POST /api/stock/analyze-sync → G=B+M score 7.0/10, EV +5.2%, BUY
{"ticker": "AAPL", "style": "balanced"} Risk 4/10, target $275, stop-loss $239
3. GET /api/options/snapshot/AAPL → IV 32.5%, IV Rank 58, VRP +4.0%
4. POST /api/options/chain-sync → Sell Put scores: 80, 78, 75...
{"symbol": "AAPL", "expiry_date": "..."} Buy Call scores: 76, 74, 72...
5. POST /api/options/tools/strategy/build → Bull Call Spread 265/280
{"template_id": "bull_call_spread"} Max profit $1085, max loss $415
6. POST /api/options/tools/simulate → Breakeven $269.15, PoP 44.5%
{"symbol": "AAPL", "legs": [...]}
You: "Is that IV expensive?"
7. GET /api/options/snapshot/AAPL → IV Rank 58 (moderate)
8. GET /api/options/tools/vol-surface/AAPL → ATM IV in contango, earnings in 26d
All from real API calls. All verifiable.
pip install -e ./cli)See CONTRIBUTING.md for guidelines. We welcome:
MIT -- see LICENSE.
Built by the AlphaGBM team. Trusted by 10,000+ traders worldwide.
Real data. Real signals. Real edge.