llmquant/skills

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.

First seen May 30, 2026

Installation

$ npx skills add llmquant/skills --skill llmquant-strategies

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 212
License LICENSE
Default branch master
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,235 B
  • docs SUMMARY.md 203 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 433 installs

SKILL.md

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 allocation and unified risk budgeting. [workflows/multi-strategy.md](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.