Manufacturing: Non-Conformance Report Review with Claude Code: Result JSON Schema
A production playbook for non-conformance report review in manufacturing operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: Manufacturing quality teams
The problem
Manufacturing quality teams need non-conformance report review to run repeatedly against NCRs, inspection records, photos, supplier notes, and corrective action rules. In manufacturing operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Define the outer result contract once, let the non-conformance report review skill own body.data, and reject terminal output that does not match the expected schema.
Tradeoffs and failure modes
Schema enforcement adds upfront design work, but removes prompt parsing from the product surface. For non-conformance report review, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Result shape
{
"schema_version": "argo.result.v1",
"summary": "non-conformance report review completed",
"body": { "type": "manufacturing_quality_ncr_review", "data": {}, "exceptions": [] },
"artifacts": []
}
Run this on Argo