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Agent skill

Analyze Copper Inventory Rebuild Signal

A Claude Code skill in the Macro Skills marketplace that analyses copper inventory data to flag short-term price warning signals and long-term valuation percentiles.

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Repository and documentation last checked Built from public product pages and documentation. SourcesClaim this listing

Not listed in the ecommerce MCP directory

It is an agent skill pack, not an MCP server. It is not related to ecommerce.

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ecommerceguide summary

This open-source Claude Code skill reads copper inventory data to flag when rapid stock rebuilds signal a likely short-term price peak, then overlays a historical percentile read on whether copper looks cheap or expensive across longer cycles. Built for commodity analysts, procurement leads at manufacturers, and macro-focused traders, it combines a tactical warning signal with a valuation anchor rather than forecasting price direction outright.

Why it stands out

Combines tactical inventory-velocity warning with a historical percentile valuation check, a rare pairing in open-source macro skills.

What Analyze Copper Inventory Rebuild Signal does

ecommerceguide editorial
  • Detects rapid copper inventory rebuilds as short-term price peak warnings
  • Calculates historical percentile to judge whether copper is relatively cheap
  • Pairs tactical exit signal with longer-cycle valuation context
  • Runs as a skill in the open GitHub macro-skills repo
  • Targets procurement teams, commodity desks, and macro-oriented analysts

How ecommerce teams could use it

ecommerceguide editorial

Illustrative scenarios written by ecommerceguide from the product's documented capabilities. They are not customer case studies.

  1. Procurement lead at an industrial manufacturer with a 3 to 6 person sourcing team

    Hedging copper exposure on rolling forward contracts; runs the skill weekly against SHFE inventory data to time when to lock in or defer purchase tranches

    Intended outcomeAvoids buying into local price peaks flagged by sharp inventory rebuilds, with percentile context to size hedge ratios more aggressively when copper sits in cheap historical zones

  2. Commodity analyst at a macro hedge fund or CTA

    Layered into a discretionary copper trade book alongside positioning and curve-structure signals; analyst forks the repo to wire it into an internal Python research stack

    Intended outcomeReplaces an ad-hoc inventory-watch spreadsheet with a reproducible warning signal, freeing the analyst to focus on cross-asset confirmation rather than manual stock tracking

  3. Solo macro researcher or family-office PM running a long-cycle commodities sleeve

    Quarterly review of base metals allocation; runs the percentile read to anchor strategic positioning and the rebuild detector to pick entry and exit windows

    Intended outcomeGets a defensible, rules-based view on copper richness without subscribing to a commodity intelligence service

Who it suits

ecommerceguide editorial

Best for

You're a procurement, commodity-desk, or macro buyer who already works in Python, wants a transparent rules-based copper signal, and values auditability over a polished UI.

Probably not for

You need a managed data feed, directional price forecasts, multi-metal coverage, or a vendor-supported product with SLAs rather than a GitHub repo you maintain yourself.

Business size
Any stage, 1 to 10 analysts, traders, or procurement staff comfortable with PythonAn open-source skill with no licensing cost or scale ceiling, so fit is defined by analytical capability and copper exposure, not company size.

Technical details

From the vendor's own pages

From the server's repository, documentation and MCP directory listings.

Package
None published; build from source
Language
Python
Licence
MIT
Repository last updated
3 Feb 2026

Connect Analyze Copper Inventory Rebuild Signal

Third-party data

Setup documented for

Install command
git clone https://github.com/fatfingererr/macro-skills.git

Command as listed on the repository README, not tested by ecommerceguide. Check the official documentation (opens in a new tab) for configuration and credentials before running it.

Sources

ecommerceguide profiles are built from public product information and written for ecommerce teams. We do not test products, and paying never changes where a listing ranks.

Also listed on Build with Claude.

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