10k-digest
Deep-read a 10-K annual report and output a structured markdown digest — abstract, section summaries, key metrics, and sourced…
Analyze options Greeks, implied volatility, and strategy selection for US stocks
$ npx -y skills add yennanliu/investskill --skill options-analysis --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/options-analysisContext preview
The summary Claude sees to decide when to auto-load this skill.
Analyze options Greeks, implied volatility, and strategy selection for US stocks
description: Analyze options Greeks, implied volatility, and strategy selection for US stocks
Before running any analysis, always retrieve the latest market data for the ticker:
1. **Fetch current price** — use web search or ask the user for the live price, 52-week range, and market cap. Never assume a price from training data. 2. **Confirm key figures** — recent earnings, revenue, key ratios (P/E, P/S, etc.) as applicable to this skill. 3. **State your data source** — fill in the `Data & Sources` header (next section) so the origin, as-of date, retrieval path, and confidence of every figure are explicit at the top of the output. 4. **Flag stale data explicitly** — if live data is unavailable, display this warning before proceeding:
> ⚠️ **Live data unavailable.** The following analysis uses training-data estimates which may be significantly out of date. Verify all prices and metrics before making any decisions.
Never silently substitute training-data estimates for current prices. When in doubt, ask the user to paste the latest quote.
---
The first thing in the output is this provenance block, filled in — never left as placeholders. It is the standard documented on the [Data & Accuracy](https://yennanliu.github.io/InvestSkill/data-and-accuracy.html) page and the first thing `result-validator` looks for:
Data & Sources As of: <date the figures represent, e.g. 2026-06-30> Source: <primary docs — SEC EDGAR 10-K/10-Q, company IR, FRED, exchange data …> Retrieval: <pasted by user | web/tool retrieval | model memory> Confidence: <HIGH | MEDIUM | LOW>
---
Comprehensive analysis of options Greeks, implied volatility dynamics, strategy selection, and risk/reward frameworks for US-listed equity options. Designed to help identify optimal strategies based on market outlook, volatility environment, and underlying stock context.
**Risk Disclaimer**: Options involve significant leverage and can result in the loss of the entire premium paid or, for short options, losses substantially exceeding the initial credit received. This analysis is for educational and informational purposes only and does not constitute financial advice.
**Core Terminology**
**Intrinsic Value vs. Time Value**
**When to Use Options vs. Stock**
**Delta (Δ) — Directional Sensitivity**
Definition: Change in option price for a $1 move in the underlying stock price.
Option Type Delta Range Moneyness Context Call (long) 0 to +1.0 Deep OTM ≈ 0.05, ATM ≈ 0.50, Deep ITM ≈ 0.99 Put (long) -1.0 to 0 Deep OTM ≈ -0.05, ATM ≈ -0.50, Deep ITM ≈ -0.99
**Gamma (Γ) — Rate of Delta Change**
Definition: Rate of change of delta for a $1 move in the underlying.
Professional investment analysis frameworks for US stocks — works on every AI platform
Deep-read a 10-K annual report and output a structured markdown digest — abstract, section summaries, key metrics, and sourced…
Build the strongest possible bear case against a stock — a deliberate short-seller red-team that argues why NOT to hold,…
Forward-looking catalyst calendar identifying upcoming events and their expected price impact over a 90-day window
Generate professional financial charts in Mermaid, ASCII, or HTML/Chart.js — MA lines, histograms, candlestick, volume, RSI/MACD,…
Deep competitive moat analysis, market position assessment, and industry dynamics for one company against its direct rivals. To…
Discounted Cash Flow (DCF) intrinsic value modeling with sensitivity analysis