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commodity-analysis

Generate directional commodity signals from supply-demand, inventory, term-structure, and seasonality data.

Updated Apr 14, 2026
Search Tags:#seasonality#commodity analysis#inventory cycle#futures term structure#oil supply demand#gold pricing#copper inventories
One-click install
npx skills add https://github.com/loanntc/Paave --skill commodity-analysis-loanntc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: commodity-analysis
Source: https://github.com/loanntc/Paave/tree/main/skills/commodity-analysis
Command: npx skills add https://github.com/loanntc/Paave --skill commodity-analysis-loanntc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns fragmented commodity drivers into a structured, backtest-ready directional view so you can judge whether markets are likely trending bullish, bearish, or neutral.

Core Features & Use Cases

  • Supply-demand balance analysis: Combine OPEC/US production and demand indicators (e.g., PMI, imports) to infer surplus vs shortage and translate that into a directional bias for oil.
  • Gold, copper, and oil multi-framework scoring: Apply real-rates/USD safe-haven logic for gold and leading-indicator behavior for copper (inventories, concentrates, import strength) to produce consistent directional outputs.
  • Inventory cycle, term structure, and seasonality overlays: Map inventory build/draw phases, validate with contango/backwardation and roll yield, and adjust with seasonality tailwinds/headwinds for a composite score suitable for research backtesting.

Quick Start

Use the commodity-analysis skill to analyze crude oil, gold, or copper drivers and return a composite directional report in the template format.

Frequently Asked Questions about commodity-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate directional commodity signals from fragmented supply and demand data?▼

Generate directional commodity signals by synthesizing fragmented supply-demand balances, inventory cycles, term-structure spreads, and seasonality into a single composite score indicating bullish, bearish, or neutral market trends.

What is the best way to analyze crude oil futures term structure and inventory cycles?▼

Analyze crude oil futures term structure by mapping inventory build or draw phases, validating tight or loose states with contango or backwardation spread ratios, and adjusting for seasonality to produce a directional bias.

How do I backtest gold pricing drivers using real rates and USD safe-haven logic?▼

Backtest gold pricing drivers by applying real-rates and USD safe-haven logic within a multi-framework scoring system that outputs a consistent directional view suitable for research scenarios.

Can I use inventory cycle analysis to forecast copper shortages or surpluses?▼

Yes, forecast copper shortages or surpluses by evaluating exchange inventories, concentrates, and import strength to map inventory-cycle stages and compute qualitative surplus or shortage directional states.

Does the commodity analysis skill support multi-framework scoring for backtesting research?▼

Yes, the skill supports backtesting research by computing a composite scoring summary across oil, gold, and copper that aligns with a requested report template to deliver a structured directional outcome.

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