Bulk PDF Processing with Claude Code: Result JSON Schema

A production playbook for bulk PDF processing in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.

Audience: Document automation teams with batch jobs

The problem

Document automation teams with batch jobs need bulk PDF processing to run repeatedly against hundreds of PDFs, schemas, review rules, and output files. In cross-industry 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 bulk PDF processing 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 bulk PDF processing, 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": "bulk PDF processing completed",
  "body": { "type": "bulk_pdf_processing", "data": {}, "exceptions": [] },
  "artifacts": []
}

Run this on Argo