llmquant-equity-derivatives
Router skill for LLMQuant equity derivatives workflows. Use when the user needs single-stock derivative, convertible, warrant, structured payoff, or hybrid security analysis.
npx skills add LLMQuant/skills --skill llmquant-equity-derivatives --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LLMQuant Equity Derivatives This category routes single-stock derivative and hybrid security workflows. It covers payoff, optionality, dilution, borrow, volatility, and catalyst alignment. ## Routing Rules 1. Identify the underlying ticker, derivative type, maturity, strike/conversion terms, and objective. 2. Select the closest workflow below. 3. Open only that workflow and any relevant local resources. 4. Use LLMQuant Data for underlying prices, option chains, volatility, borrow, corporate actions, convertibles, and warrants. 5. Report contract terms, valuation dates, assumptions, stale notices, and missing inputs. ## Workflow Index | User intent | Workflow | |---|---| | Build a single-stock derivative trade playbook with payoff, Greeks, catalysts, and risk. | [`workflows/single-stock-derivative-playbook.md`](workflows/single-stock-derivative-playbook.md) | | Analyze convertibles, warrants, or hybrid equity-linked securities. | [`workflows/convertible-and-warrant-lens.md`](workflows/convertible-and-warrant-lens.md) | ## LLMQuant Data Contract Prefer LLMQuant Data when available. The workflows may need these data capabilities: - Retrieve underlying equity prices, realized volatil
- Routing Rules
- Workflow Index
- LLMQuant Data Contract
What does the llmquant-equity-derivatives skill do?
Router skill for LLMQuant equity derivatives workflows. Use when the user needs single-stock derivative, convertible, warrant, structured payoff, or hybrid security analysis.
How do I install it?
Run `npx skills add LLMQuant/skills --skill llmquant-equity-derivatives --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From LLMQuant/skills, a repository with 183 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.