llmquant-commodities skill
Routes commodity research workflows for analyzing spot prices, futures curves, inventory, and macro linkages.
- GitHub stars
- 245
- Files
- 5
- Last commit
- May 30, 2026
- License
- MIT
- Allowed tools
- —
What does the llmquant-commodities skill do?
llmquant-commodities routes commodity research workflows for analyzing spot prices, futures curves, inventory, and macro linkages.
Summary generated from the skill's SKILL.md.
About the llmquant-commodities skill
Analyzing commodity spot prices, futures curves, and macro linkages is the primary function of this routing tool. It helps researchers and analysts navigate specific workflows by identifying the correct commodity, contract codes, and regions required for a task. When an agent detects a need for market briefs or term structure analysis, it loads the appropriate workflow from the LLMQuant Data source.
Users can access the commodity-market-lens.md workflow to build market briefs covering price, curve, inventory, macro, and equities. Alternatively, the futures-curve-monitor.md workflow handles analysis of futures term structure, roll yield, and curve shifts. These processes rely on LLMQuant Data for inputs such as front-month prices, volume, open interest, inventory, and FX rates.
Accuracy is maintained by reporting contract dates, observation dates, and source coverage. The process is restricted from inferring spot prices, inventories, or curve shapes from memory. If data is unavailable, the tool lists the exact missing inputs and continues only with available macro, market, or user-provided evidence.
What an agent can do with it
- 1Build a commodity market briefGenerate a comprehensive report covering prices, inventory, and macro factors for a specific commodity.
- 2Analyze futures curve shiftsExamine term structure, roll yield, and changes in contango or backwardation.
- 3Retrieve macro and FX indicatorsAccess inflation, growth, and exchange rate data to provide commodity context.
- 4Handle missing commodity dataIdentify required inputs when specific commodity information cannot be found.
Written from the skill's SKILL.md. Every use case is checked against a quote from it.
How to install the llmquant-commodities skill
Each command copies the skill folder into the client's skills directory. Restart the client or start a new session to load it.Install the llmquant-commodities skill in Plugin
/plugin marketplace add LLMQuant/skills /plugin install llmquant-skills@llmquant
Install the llmquant-commodities skill in Claude Code
~/.claude/skills/llmquant-commodities/SKILL.md
$ npx degit LLMQuant/skills/skills/llmquant-commodities ~/.claude/skills/llmquant-commoditiesInstall the llmquant-commodities skill in Claude Code (project)
.claude/skills/llmquant-commodities/SKILL.md
$ npx degit LLMQuant/skills/skills/llmquant-commodities .claude/skills/llmquant-commoditiesInstall the llmquant-commodities skill in Codex
~/.agents/skills/llmquant-commodities/SKILL.md
$ npx degit LLMQuant/skills/skills/llmquant-commodities ~/.agents/skills/llmquant-commoditiesInstall the llmquant-commodities skill in Gemini CLI
~/.gemini/skills/llmquant-commodities/SKILL.md
$ npx degit LLMQuant/skills/skills/llmquant-commodities ~/.gemini/skills/llmquant-commoditiesInstall the llmquant-commodities skill in Claude.ai
npx degit LLMQuant/skills/skills/llmquant-commodities llmquant-commodities && zip -r llmquant-commodities.zip llmquant-commodities # claude.ai → Customize → Skills → + → Create skill → Upload a skill → llmquant-commodities.zip
SKILL.md
View on GitHubLLMQuant 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.
Workflow Index
| User intent | Workflow |
|---|---|
| Build a commodity market brief across price, curve, inventory, macro, and equities. | workflows/commodity-market-lens.md |
| Analyze futures term structure, roll yield, contango/backwardation, and curve shifts. | workflows/futures-curve-monitor.md |
LLMQuant Data Contract
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
- Retrieve commodity spot or front-month prices, recent changes, volume, and observation timestamp.
- Retrieve futures curves by contract month, including curve shape, roll yield, volume, and open interest.
- Retrieve inventory, production, demand, import/export, weather, and commodity event context.
- Retrieve macro indicators, rates, FX, inflation, growth, and related equity or ETF price proxies.
Fallback:
- If commodity data is not available, list the exact inputs needed and continue only with available macro, market, or user-provided evidence.
- Do not infer spot prices, inventories, or curve shape from memory.
Files in this skill
5llmquant-commodities skill questions
How do I install the llmquant-commodities skill in Claude Code?
Run npx degit LLMQuant/skills/skills/llmquant-commodities ~/.claude/skills/llmquant-commodities. Claude Code loads skills from ~/.claude/skills (all projects) or .claude/skills (one project) and uses a skill when its description matches the task.
Which clients can use the llmquant-commodities skill?
Any client that reads the Agent Skills format: Claude Code, Codex, Gemini CLI and claude.ai (upload as a ZIP). Scripts in the skill run only where the client allows code execution.
What types of commodity data can be retrieved?
The skill can retrieve commodity spot or front-month prices, futures curves, inventory, production, demand, and macro indicators like FX and inflation.
What should the agent do if commodity data is unavailable?
The agent should list the exact inputs needed and continue using only available macro, market, or user-provided evidence.
Is the agent allowed to infer missing commodity data from memory?
No, the agent must not infer spot prices, inventories, or curve shapes from memory.