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Commodity Analysis

Gives directional oil, gold and copper market signals from supply, demand, inventories and futures structure.

Source Download skill
Repository
HKUDS/Vibe-Trading
Stars
37,433
Licence
MIT
Files
1 file

What it does

This skill teaches an AI agent a structured way to analyse commodities, mainly crude oil, gold and copper. When asked about these markets, the agent looks at four things: supply versus demand, inventory levels and cycle stage, the futures price curve (contango or backwardation), and seasonal patterns, with macro factors like interest rates and the dollar used as a check. It then outputs directional signals such as bullish, bearish or neutral, written so they could be tested against historical data.

Great for

  • Traders or analysts who want a consistent framework for thinking about oil, gold or copper
  • Quantitative researchers building simple commodity signals to backtest
  • Students learning how commodity fundamentals, inventories and futures curves interact

Skip it if

  • Making real trading decisions without independent verification: the thresholds and rules are simplified illustrations, not validated strategies, and can lose money
  • Commodities outside oil, gold and copper, since the skill focuses on those three
  • Real-time price or inventory data: the skill describes where to find data but does not itself fetch it

Try asking

  • “Analyse the current crude oil supply-demand balance and tell me whether the signal is bullish or bearish.”
  • “Using the inventory-cycle framework, what stage is copper in based on these LME and SHFE inventory numbers?”
  • “Explain what the futures curve shape for gold says about the market right now.”
  • “Build a simple backtestable directional signal for copper using the term structure and seasonality rules.”
Step-by-step guide: how to use Commodity AnalysisInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    commodity-analysis.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip commodity-analysis.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip commodity-analysis.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Supply current data yourself, such as inventory levels, TIPS yields and futures prices, so the agent works from numbers rather than memory.
  • Treat the thresholds (for example, 10Y TIPS above 2% or deep contango above 5%) as starting points to test, not facts.
  • Ask the agent to state its assumptions and the data date, since market conditions change quickly.

What's inside

  • SKILL.md

Redistributed unmodified from HKUDS/Vibe-Trading under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.