LLMQuant Strategies

LLMQuant Strategies is an AI Engineering skill for Claude Code, published by LLMQuant in skills.

209 stars27 forkson LLMQuant/skillsAdded 2026/09/04Repository updated 2026/05/30

agent-skillsai-agentsclaude-codecodexcursorequity-researchetffinancial-datainvestment-researchllmllm-toolsmacroeconomicsmcpmodel-context-protocolopen-sourceoptions-tradingportfolio-managementquantitative-financerisk-management

Install in seconds

Install LLMQuant Strategies

Copy LLMQuant Strategies into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/LLMQuant/skills/tree/master/skills/llmquant-strategies ~/.claude/skills/llmquant-strategies

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/LLMQuant/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/llmquant-strategies/SKILL.md in LLMQuant/skills
Installs to: ~/.claude/skills/llmquant-strategies
Collection: One of 18 skills cataloged from this repository
Category: AI Engineering — 2970 skills

What LLMQuant Strategies does

LLMQuant Strategies routes hedge-fund and portfolio-manager playbooks to the right workflow. Use it for equity long/short, long-biased, event-driven, macro, quant, or multi-strategy requests.

LLMQuant Strategies is cataloged under AI Engineering on DirSkills. LLMQuant Strategies comes from a repository tagged agent-skills, ai-agents, claude-code, codex and cursor.

Documentation

README

Excerpt

LLMQuant 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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LLMQuant Strategies

What else does LLMQuant publish alongside LLMQuant Strategies?
LLMQuant Strategies is one of 18 skills that DirSkills catalogs from LLMQuant/skills, the repository it ships in. Its siblings there include LLMQuant Commodities, LLMQuant Credit and LLMQuant Crypto. Each one is a separate skill with its own page in this directory, installs the same way LLMQuant Strategies does, and is maintained by LLMQuant in that same repository. The rest of the collection is listed on the LLMQuant/skills page.
How does LLMQuant Strategies compare to other AI Engineering skills?
LLMQuant Strategies ranks #2724 by stars among the 2970 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LLMQuant Strategies against them. Open each page to compare what they document and how they install.