llmquant-commodities
Router skill for LLMQuant commodities workflows. Use when the user needs commodity spot, futures curve, inventory, roll yield, or…
Router skill for LLMQuant equity derivatives workflows. Use when the user needs single-stock derivative, convertible, warrant, structured payoff, or hybrid security analysis.
$ npx -y skills add LLMQuant/skills --skill llmquant-equity-derivatives --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/llmquant-equity-derivativesContext preview
The summary Claude sees to decide when to auto-load this skill.
Router skill for LLMQuant equity derivatives workflows. Use when the user needs single-stock derivative, convertible, warrant, structured payoff, or hybrid security analysis.
name: llmquant-equity-derivatives description: Router skill for LLMQuant equity derivatives workflows. Use when the user needs single-stock derivative, convertible, warrant, structured payoff, or hybrid security analysis. input_data_source: LLMQuant Data category: equity-derivatives
This category routes single-stock derivative and hybrid security workflows. It covers payoff, optionality, dilution, borrow, volatility, and catalyst alignment.
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.
| 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) |
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
Fallback:
Reusable Skills for LLMQuant Agent, Claude Code, Claude.ai, Cursor, Hermes Agent, OpenClaw and Codex, grounded in LLMQuant Data
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