llmquant-strategies
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.
npx skills add LLMQuant/skills --skill llmquant-strategies --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 Strategies This category routes hedge-fund and portfolio-manager strategy playbooks. ## Routing Rules 1. Identify strategy type, universe, mandate, horizon, benchmark, and risk budget. 2. Select the closest workflow below. 3. Open only the selected workflow and local resources explicitly referenced by that workflow. 4. Use LLMQuant Data for market, macro, filings, holdings, factor, event, options, and risk inputs. 5. 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`](workflows/equity-long-short.md) | | Concentrated long-biased ownership with structural hedges. | [`workflows/long-biased.md`](workflows/long-biased.md) | | Merger arb, spin-offs, activism, restructurings, and special situations. | [`workflows/event-driven.md`](workflows/event-driven.md) | | Cross-asset macro regime trading. | [`workflows/macro.md`](workflows/macro.md) | | Systematic strategy research, backtesting, overfitting control, and execution discipline. | [`workflows/quant.md`](workflows/quant.md) | | Pod-style capital allo
- Routing Rules
- Workflow Index
- LLMQuant Data Contract
What does the llmquant-strategies skill do?
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.
How do I install it?
Run `npx skills add LLMQuant/skills --skill llmquant-strategies --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.