Llmquant Strategies Agent Skill
Router skill for LLMQuant hedge-fund and PM strategy workflows. Use when the user needs equity long/short, long-biased, event-driven, macro, quant, or multi-strategy playbooks.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/LLMQuant/skills --skill llmquant-strategiesThe instruction itself
4 sections, as written by the authorLLMQuant Strategies
This category routes hedge-fund and portfolio-manager strategy playbooks.
Routing Rules
- Identify strategy type, universe, mandate, horizon, benchmark, and risk budget.
- Select the closest workflow below.
- Open only the selected workflow and local resources explicitly referenced by that workflow.
- Use LLMQuant Data for market, macro, filings, holdings, factor, event, options, and risk inputs.
- Report data windows, as-of dates, stale notices, and unsupported coverage.
Workflow Index
| User intent | Workflow |
|---|---|
| Fundamental paired-book construction and factor-aware hedging. | workflows/equity-long-short.md |
| Concentrated long-biased ownership with structural hedges. | workflows/long-biased.md |
| Merger arb, spin-offs, activism, restructurings, and special situations. | workflows/event-driven.md |
| Cross-asset macro regime trading. | workflows/macro.md |
| Systematic strategy research, backtesting, overfitting control, and execution discipline. | workflows/quant.md |
| Pod-style capital allocation and unified risk budgeting. | workflows/multi-strategy.md |
LLMQuant Data Contract
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
- Retrieve prices, fundamentals, filings, macro indicators, options context, ETF holdings, factor exposures, event feeds, borrow context, and backtest inputs.
- Capture strategy mandate, universe, benchmark, time horizon, risk budget, liquidity, and sizing constraints.
- Report data windows, as-of dates, stale notices, unsupported coverage, and assumptions.
Fallback:
- If a strategy workflow needs unavailable factor, borrow, event, or backtest data, name the missing input and continue only with retrieved or user-provided evidence.
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How to use it
Take llmquant/llmquant-strategies from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.