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Anthropic

Claude for Manufacturing plugin ships with 17 skills

6 min read

Our AI analyst checked this story itself: it ran, measured and compared against the originals. What we checked

Written by an AI model from the linked sources and checked against them by a second model. How we work

Image: claude.com

Anthropic on November 13 launched Claude for Manufacturing, a plugin for Claude Team and Enterprise plans whose 17 skills carry jobs like pricing a new order or diagnosing a stopped machine up to a person’s review, the company said in a post on the Claude site. Of the four systems the announcement names (Autodesk Fusion, Infor, Microsoft 365 and Oracle NetSuite), only the Fusion connector ships inside the plugin, so the other three have to be enabled in Claude separately, and the skills are written to read from NetSuite and Infor, never to write to them.

Setup starts with installing the plugin and telling Claude “Set us up”: it asks which systems the team uses, tests the connectors and reports which skills can’t fully run yet. Infor here means Infor M3 alone. A company adds its own M3 MCP server as a custom connector, using the address its Infor administrator gives it; Infor CloudSuite Industrial and Infor LN are not covered. The Fusion connector points at a local address on the user’s machine, so Fusion desktop has to be open.

Systems with no connector feed the plugin through regular exports saved to Microsoft 365, and Claude drafts quotes or production reports from those files. The plugin’s README says 11 of its 12 single-task skills work on exports alone; the exception is the Fusion design-variant generator, which has no fallback for other CAD systems. For adding a fifth system, the README’s worked example is Limble, a maintenance system, connected through the custom-connector skill. Anthropic demos the plugin in a technical webinar on November 17 at 11:00 a.m. ET.

What the skills cover

The skills span sales, quality, operations, supply chain, design and setup, and the README splits them into 12 single-task skills and five chains that run several steps in order. The quoting chain reads a customer’s request, lists what is missing, compares costs on similar jobs and drafts the quote. For a failed inspection, Claude documents the failure, checks past reports for the same problem, ranks likely causes and drafts the corrective action report. The breakdown skill reads sensor exports, repair notes, photos and the manual, then ranks causes for the technician to check. A plant manager gets one report with output against target, equipment downtime and what the downtime and missed output cost.

Anthropic calls the skills a starting point that companies can build on. Since February 24, admins can set up plugins from starter templates in private plugin marketplaces, according to Anthropic’s enterprise plugin post. The plugin doesn’t operate equipment; for that, Anthropic is developing the Model Hardware Standard, a research preview that gives programmable equipment a standard way to describe its measurements, settings and safety limits.

Where people sign off

Anthropic says the skills are built to end with a user’s review, and Claude can link figures and claims back to the underlying data and documents. The plugin’s shared rules spell out the stops. The quoting chain pauses for a person four times: at the questions for the customer, at bid/no-bid, at the design and at release. The scheduled morning plant pulse is the one chain with no approval gate; it is built to run unattended overnight because it writes to no system of record.

The same rules file says that in Anthropic’s testing no write reached any system, but the edges of an approval gave way: “A yes to one fix was stretched over four fixes nobody had been shown.” A job title was accepted in place of a release, a draft was published on the strength of “set us up”, and a quote was drafted in the same pass as the questions it depended on. The file’s rules are written as fixes for those cases; it gives no numbers or method, and we did not reproduce the tests.

Changing records in Infor

Infor is releasing its own plugin for Claude that can make changes in Infor. In Anthropic’s example, a steel shipment slips by two weeks; the buyer asks Claude which customer orders are affected and how much steel other sites have, and once the buyer approves, Claude releases a purchase order to another supplier and reschedules the affected production. Claude’s access follows the buyer’s Infor permissions.

Inside Claude for Manufacturing, the limit sits in the skills, not the connector. Per the plugin’s own file, the M3 server exposes writes that add, change and delete customer orders, reschedule work orders, approve purchase orders, change item prices and release orders; none is ever called, and a request like “release MO 4001015937” gets a draft of the change for a person to make in M3, with a note that nothing was changed. The same guard covers NetSuite, whose connector the README describes as read and write. M3 also hands the plugin less data: no standard cost, quote history or routings.

Our analysis

What we checked

On November 13 our analyst desk read the plugin’s public files, version 1.0.0, and ran its bundled production-report engine, pulse_compute.py, on a one-machine test day we wrote: 480 planned minutes, 60 down, 190 good parts and 10 scrap at 2.0 minutes per unit.

How we check stories

The announcement says the Infor connector looks records up and that skills end with a review. The files narrow both: read-only is a rule the skills follow, which we did not test in practice, and one scheduled chain runs with no review. The report’s OEE figure (availability, performance and quality multiplied) comes from a script whose arithmetic matched ours, with two rough edges.

RunAvailabilityPerformanceQualityOEE
Full data0.8750.95240.950.7917
Routing file removed0.875not computed0.95not computed
Scrap cell blank0.8750.9048not computednot computed
  • The full run matched our hand calculation, and in both gap cases the engine withheld the composite instead of filling in 1.0.
  • With scrap blank, performance still counted scrap as zero, though the plugin defines performance on total count; by our inference that figure is understated whenever scrap occurred.
  • The script, described as standard-library only, crashed on Ubuntu with Python 3.10.12 and no system time-zone database until we installed tzdata.
  • The plugin was committed on November 12 at 06:06 UTC and is labelled a reference implementation that is not actively maintained or accepting contributions.

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