Competitive Research Brief with Claude Code: Result JSON Schema
A production playbook for competitive research brief in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: Strategy and product marketing teams
The problem
Strategy and product marketing teams need competitive research brief to run repeatedly against public pages, notes, pricing screenshots, and source links. 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 competitive research brief 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 competitive research brief, 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": "competitive research brief completed",
"body": { "type": "competitive_research_brief", "data": {}, "exceptions": [] },
"artifacts": []
}
Run this on Argo