LLMQuant Commodities

LLMQuant Commodities 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 Commodities

Copy LLMQuant Commodities 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-commodities ~/.claude/skills/llmquant-commodities

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

What LLMQuant Commodities does

LLMQuant Commodities routes commodity research workflows for spot, futures curve, inventory, roll yield, and macro linkage analysis. Use it to pick the right workflow and required LLMQuant Data inputs.

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

Documentation

README

Excerpt

LLMQuant Commodities

This category routes commodity research and futures-curve workflows. It defines the LLMQuant Data inputs required even when some commodity endpoints are future product surface.

Routing Rules

Identify the commodity, contract codes, region, horizon, and output target.
Select the closest workflow below.
Open only that workflow and relevant local resources.
Use LLMQuant Data for spot, futures, inventory, macro, FX, and rate inputs.
Report contract dates, observation dates, source coverage, and missing inputs.

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

Frequently asked about LLMQuant Commodities

What else does LLMQuant publish alongside LLMQuant Commodities?
LLMQuant Commodities is one of 18 skills that DirSkills catalogs from LLMQuant/skills, the repository it ships in. Its siblings there include LLMQuant Credit, LLMQuant Crypto and LLMQuant Data. Each one is a separate skill with its own page in this directory, installs the same way LLMQuant Commodities 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 Commodities compare to other AI Engineering skills?
LLMQuant Commodities ranks #2712 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 Commodities against them. Open each page to compare what they document and how they install.