Agent Result Schema Design with Claude Code: Artifact Delivery
A production playbook for agent result schema design in cross-industry operations using Claude Code: artifact delivery, run-scoped inputs, logs, typed results, and artifacts.
Audience: Backend engineers productizing agents
The problem
Backend engineers productizing agents need agent result schema design to run repeatedly against expected product events, downstream schemas, and examples. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Require Claude Code to write customer-visible files under /skill/output/artifacts, validate filenames and sizes, then return signed artifact metadata in argo.result.v1.
Tradeoffs and failure modes
Artifact policy constrains file output, but customers receive files that are durable, typed, and safe to download. For agent result schema design, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Artifact manifest
artifacts:
- agent-result-schema-summary.md
- agent-result-schema-evidence.csv
- agent-result-schema-review.json
signed_urls: true
retention: org_policy
Run this on Argo