API Change Impact Analysis with Claude Code: Result JSON Schema

A production playbook for API change impact analysis in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.

Audience: Backend platform teams

The problem

Backend platform teams need API change impact analysis to run repeatedly against OpenAPI specs, changelogs, SDK code, and client usage notes. 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 API change impact analysis 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 API change impact analysis, 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": "API change impact analysis completed",
  "body": { "type": "api_change_impact", "data": {}, "exceptions": [] },
  "artifacts": []
}

Run this on Argo