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llmquant-commodities

llmquant-commodities

github.com/llmquantData & databases236480 installsUpdated 22w ago
Repository

About llmquant-commodities

A skill for routing commodity research to market-brief or futures-curve workflows. It guides analysts using LLMQuant Data, while requiring missing inputs and evidence dates to be reported rather than inferred.

Key features

  1. 01Commodity market-brief workflow
  2. 02Futures curve and roll-yield analysis
  3. 03Routing by commodity, contract, region, and horizon
  4. 04Dated inputs and missing-data reporting

Use cases

  1. 01Prepare a commodity brief spanning prices, inventory, macro, and equities
  2. 02Assess curve shape, contango, backwardation, and roll yield

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/llmquant/skills --skill llmquant-commodities

After installing, type/llmquant-commoditiesin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

assets/
.gitkeep
scripts/
.gitkeep
workflows/
commodity-market-lens.md
futures-curve-monitor.md

Details

From the project README

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

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

Workflow Index

User intentWorkflow
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.

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